# FewerJobs export - 100 curated jobs
Generated: 2026-08-18T23:06:50.627Z
Source: https://fewerjobs.com

## Filters applied
- **q**: Lightyear AI Inc
- **quality_floor**: default
- **match_401k_strict**: true
- **parental_strict**: true
- **non_birth_strict**: true
- **pto_strict**: true
- **include_older**: false
- **verified_benefits_only**: true
- **apply_url_verified**: false
- **page**: 1
- **per_page**: 100
- **sort**: relevance

## Jobs
### AI Software Architect, Forward Deployed - Adobe Inc.
- Location: London (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/London/AI-Software-Architect--Forward-Deployed_R167846-1
- Excerpt: AI Software Architect, Forward Deployed London posted: Posted 30+ Days Ago

### AI Software Engineer - Adobe Inc.
- Location: Bucharest (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326
- Excerpt: AI Software Engineer Bucharest posted: Posted 30+ Days Ago

### Sr. Software Engineer - AI - Adobe Inc.
- Location: Lehi (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-21
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Lehi/Software-Development-Engineer_R157878
- Excerpt: Sr. Software Engineer - AI Lehi posted: Posted 22 Days Ago

### AI Platform Engineer - Adobe Inc.
- Location: Bucharest (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Platform-Engineer_R169685
- Excerpt: AI Platform Engineer Bucharest posted: Posted 2 Days Ago

### AI Data Trainer (Portuguese), Operations Team, Alexa Shopping Operations - Amazon
- Location: Gurugram, Haryana, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-23
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10401840/ai-data-trainer-portuguese-operations-team-alexa-shopping-operations
- Excerpt: AI Data Trainer (Portuguese), Operations Team, Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation

### AI Engagement Manager - Adobe Inc.
- Location: Noida (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/AI-Engagement-Manager_R164430-1
- Excerpt: AI Engagement Manager Noida posted: Posted 30+ Days Ago

### Senior AI Product Manager - Adobe Inc.
- Location: Seattle (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/Senior-AI-Product-Manager_R168554
- Excerpt: Senior AI Product Manager Seattle posted: Posted 4 Days Ago

### Senior AI Engineer - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R165822
- Excerpt: Senior AI Engineer San Jose posted: Posted 30+ Days Ago

### Senior Agentic AI Engineer - Adobe Inc.
- Location: Yerevan (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Yerevan/Senior-Agentic-AI-Engineer_R165482
- Excerpt: Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago

### AI Data Trainer (Arabic), Alexa Shopping Operations - Amazon
- Location: Gurugram, Haryana, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10443291/ai-data-trainer-arabic-alexa-shopping-operations
- Excerpt: AI Data Trainer (Arabic), Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes About

### AI Enterprise Architect - Adobe Inc.
- Location: 5 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Enterprise-Architect_R163757
- Excerpt: AI Enterprise Architect 5 Locations posted: Posted 30+ Days Ago

### Forward Deployed AI Engineer - Adobe Inc.
- Location: Tokyo (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Tokyo/Forward-Deployed-AI-Engineer_R164040
- Excerpt: Forward Deployed AI Engineer Tokyo posted: Posted 30+ Days Ago

### Principal AI Technologist - Adobe Inc.
- Location: 6 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Remote-California/Principal-AI-Technologist_R165304
- Excerpt: Principal AI Technologist 6 Locations posted: Posted 30+ Days Ago

### Applied AI Architect - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Paris/Senior-Solution-Architect-Firefly-Enterprise-Solutions_R168333
- Excerpt: Applied AI Architect 2 Locations posted: Posted 30+ Days Ago

### Lead AI Engineer, Data Solutions - Salesforce
- Location: California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York (unspecified)
- Salary: $208K-$286K
- Posted: 2026-05-29
- Parental leave: 26 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://careers.salesforce.com/en/jobs/jr341433/lead-ai-engineer-data-solutions/
- Excerpt: Lead AI Engineer, Data Solutions California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York We are looking for a Lead AI Engineer to build next-generation AI and ML systems at Salesforce. This role focuses on developing intelligent decisioning systems and building an agent flywheel-a system of feedback loops that continuously evaluate, optimize, and improve agent performance over time. This is an applied AI role with strong data and systems ownership. You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production. What You'll Do Build the Agent Flywheel Design feedback loops that enable agents and ML systems to improve from real-world outcomes Track outcomes (engagement, conversion, quality) and evaluate agent performance Build pipelines that collect and structure agent traces into training and evaluation datasets Drive continuous improvement via prompting, policies, model selection, and fine-tuning Develop ML & Agent Systems Build and deploy ML models (classification, ranking, forecasting, recommendation) Design AI agents that combine LLM reasoning, tool usage, and ML decisioning Implement reusable patterns for multi-step reasoning, tool orchestration, and structured outputs Integrate models and agents into business-critical workflows Own Data & Model Pipelines Design and build scalable data pipelines (batch and near real-time) for training, evaluation, and inference Transform raw interaction data into features, labels, and evaluation datasets Enable continuous retraining and evaluation through tightly coupled data + model pipelines Ensure data quality, consistency, and reliability Evaluation & Experimentation Build offline and online evaluation frameworks Develop

### Principal AI Researcher - Workday, Inc.
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-16
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/USA-CA-Pleasanton/Principal-AI-Researcher_JR-0107313
- Excerpt: Principal AI Researcher 3 Locations posted: Posted 27 Days Ago

### Engagement Manager, AI Practice - Workday, Inc.
- Location: 61 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/USA-IL-Chicago/Engagement-Manager--AI-Practice_JR-0106562
- Excerpt: Engagement Manager, AI Practice 61 Locations posted: Posted 2 Days Ago

### AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail - Amazon
- Location: New York, New York, USA (unspecified)
- Salary: $131K-$178K
- Posted: 2026-04-23
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10401520/ai-ml-specialist-solutions-architect-retail-ags-us-specialist-sa-retail
- Excerpt: AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail New York, New York, USA AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art genAI/ML tools on Amazon Web Service (AWS)? Come join us! At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by machine learning, as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition with deep learning; as is Prime Air. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage. Within AWS, we're focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and

### Senior Platform & AI Engineer - Adobe Inc.
- Location: 7 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-28
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Principal-Data---AI-Engineer_R166072
- Excerpt: Senior Platform & AI Engineer 7 Locations posted: Posted 15 Days Ago

### Worldwide GTM Specialist - Physical AI, Worldwide GTM - Physical AI - Amazon
- Location: San Francisco, California, USA (unspecified)
- Salary: $163K-$220K
- Posted: 2026-06-07
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10441671/worldwide-gtm-specialist-physical-ai-worldwide-gtm-physical-ai
- Excerpt: Worldwide GTM Specialist - Physical AI, Worldwide GTM - Physical AI San Francisco, California, USA Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Physical AI background (AI for Automation, Digital Twin, Robotics, and Edge), and go-to-market skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Physical AI team as a Business Development Specialist! The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam. Key job responsibilities Lead GTM motions to scale sales, marketing, partner, product, enablement, and professional services teams with Physical AI solutions, thinking through challenges on a 1-3+ year time scale. Leverage your deep domain expertise in robotics, simulation, autonomous systems, or

### Principal AI Engineer - Salesforce
- Location: California - San Francisco; Washington - Seattle; Illinois - Chicago; California - Palo Alto; New York - New York; Washington - Bellevue (unspecified)
- Salary: $238K-$345K
- Posted: 2026-05-29
- Parental leave: 26 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://careers.salesforce.com/en/jobs/jr344074/principal-ai-engineer/
- Excerpt: Principal AI Engineer California - San Francisco; Washington - Seattle; Illinois - Chicago; California - Palo Alto; New York - New York; Washington - Bellevue We are seeking a highly skilled AI Platform Engineer to play a pivotal role in building the next generation of our ML/AI platform that doesn't just support ML models, but powers autonomous AI agents at enterprise scale. This role sits at the intersection of platform infrastructure and agent systems engineering. You'll build and maintain the core infrastructure, CI/CD pipelines, and platform services that underpin our machine learning initiatives and go further in designing the harnesses, sandboxes, and evaluation frameworks that let AI agents be developed, tested, and trusted in production. You'll work on systems that directly impact marketing, sales, service, and product growth verticals across the organization. This isn't a traditional infrastructure role. You should be comfortable wearing multiple hats of software engineering, agent systems design, and evaluation tooling. We're looking for engineers who think in flywheels: build →evaluate → improve → ship → repeat. What You'll Do Agent Harness & Flywheel Engineering Design and build agent harness infrastructure: the scaffolding that wraps LLM calls, manages tool use, handles retries, enforces policy, and feeds results back into iterative improvement loops. Implement agentic loop patterns with multi-turn reasoning, tool orchestration, memory management, and structured output handling as reusable platform primitives Build the agent flywheel: automated pipelines that collect agent traces, surface regressions, route failures to evaluation, and close the loop from production signal back to prompt/model

### Senior AI Sales Specialist - Amazon
- Location: Sydney, New South Wales, AUS (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10447436/senior-ai-sales-specialist
- Excerpt: Senior AI Sales Specialist Sydney, New South Wales, AUS Would you like to be part of a team shaping the future of the IT industry through responsible and innovative use of Artificial Intelligence? Amazon Web Services (AWS) is advancing the next evolution of cloud computing with AI technologies. We are seeking a Senior AI Sales Specialist who brings strong technical AI knowledge together with a customer-centric, outcome-focused approach to revenue growth. This role partners closely with customers to understand their goals, translate complex AI capabilities into clear business value, and support successful AI adoption at scale. If you enjoy collaborating with diverse stakeholders, communicating technical concepts with clarity, and contributing to long-term customer success, we encourage you to apply. AWS Global Sales supports customers of all sizes across the region to innovate and grow in the cloud. As organizations increasingly adopt foundation models, large language models (LLMs), and agentic AI, we are expanding our team of sales professionals. We are seeking professionals who can help customers identify and prioritize AI use cases to create AWS opportunities, build sustainable pipelines, and guide customers through complex AI adoption journeys. Key job responsibilities Sales & Revenue Contribution: o Support the achievement of sales targets by developing and maintaining a healthy pipeline and guiding customers through end-to-end sales cycles, from discovery through to agreement; o Create detailed account plans and territory strategies in partnership with internal teams, while maintaining accurate forecasting using CRM tools; o Collaborate with customers to identify and qualify high-impact AI

### Senior Applied Scientist, Applied AI Solutions GTM - Amazon
- Location: Dallas, Texas, USA (unspecified)
- Salary: $167K-$226K
- Posted: 2026-06-08
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Surrogacy assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10442312/senior-applied-scientist-applied-ai-solutions-gtm
- Excerpt: Senior Applied Scientist, Applied AI Solutions GTM Dallas, Texas, USA Amazon Web Services (AWS) Applied AI Solutions (AAIS) is on a mission to make AI real for enterprises. We build and deploy production AI solutions that drive measurable business outcomes at scale, bringing together applied scientists, AI architects, business development professionals, and GTM specialists to help customers move from AI experimentation to production impact. Within AAIS, the GTM Acceleration team activates the field, measures impact, and scales what works. We are the connective tissue between AAIS product and science teams and the worldwide field organization, ensuring our AI solutions reach customers effectively, that we quantify the value we deliver, and that we build repeatable motions that scale globally. We are looking for an Applied Scientist who will serve as a force multiplier across our customer engagement teams, building the analytical foundations, predictive models, and reusable tooling that power our go-to-market strategy. You will work at the intersection of data science, machine learning, and business strategy, building models that quantify our value proposition, and creating scalable analytical assets that accelerate every engagement. This is a highly visible, high-impact role where your work directly influences how we demonstrate and measure the value of AWS AI solutions for enterprise customers. You will operate with significant autonomy, owning the scientific direction of your projects while collaborating with software engineers, product managers, and business stakeholders. You will identify the right methodology for each problem, whether that is a classical statistical approach, a modern deep learning

### Machine Learning Engineer, AWS Applied AI Solution - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $144K-$194K
- Posted: 2026-03-05
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Surrogacy assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3197843/machine-learning-engineer-aws-applied-ai-solution
- Excerpt: Machine Learning Engineer, AWS Applied AI Solution Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, our vision is to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We accelerate our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazon's real-world experience with state-of-the art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day - putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in. The Role We're seeking a talented Machine Learning Engineer with expertise in agentic system, production ML systems, and scalable deployment architectures. You'll bridge the gap between state-of-art research and customer-facing products, contribute to our collaborative and innovative culture, and deliver production-ready ML solutions that raise the bar for the entire team. What You'll Do • Work closely with Applied Scientists and cross-functional engineering teams to transform research code into robust, scalable production systems • Own end-to-end deployment at scale of Generative AI and ML methods, ensuring reliability and performance • Establish scalable, efficient, automated processes for

### Senior Member of Technical Staff - AI Research - Salesforce
- Location: California - Palo Alto; California - San Francisco (unspecified)
- Salary: $179K-$246K
- Posted: 2026-05-28
- Parental leave: 26 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://careers.salesforce.com/en/jobs/jr339261/senior-member-of-technical-staff-ai-research/
- Excerpt: Senior Member of Technical Staff - AI Research California - Palo Alto; California - San Francisco ware engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers. With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond. We are looking for candidates who Has exceptional engineering skills. Has deep ML knowledge with meaningful implementation track records. Prioritize deep and strategic thinking. Has dedication, patience and resilience to build exceptional product experience. Collaborative and win with teams. Proactive and bias to action, comfortable in fast-pacing environment. Competitive coding winner (ACM-ICPC, etc). Startup founders in agentic AI, LLM, area (e.g., YC backed startup) Programming & Systems: Strong proficiency in Python; solid experience with C++ and/or Java Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance Strong software engineering fundamentals (data structures, algorithms,

### Senior GTM Programs & Initiatives Lead, Applied AI Solutions - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $148K-$200K
- Posted: 2026-06-08
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10442020/senior-gtm-programs-initiatives-lead-applied-ai-solutions
- Excerpt: Senior GTM Programs & Initiatives Lead, Applied AI Solutions Seattle, Washington, USA This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Our vision in the Applied AI Solutions Go-To-Market team is to be a leading provider of AI and Agentic business applications, leveraging Amazon's unique experience and expertise, used by millions of companies around the world to manage their day-to-day operations. Our mission is to accelerate our customers' businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We are seeking a technical program manager with deep AI expertise to join the Applied AI Solutions GTM team. This role will drive organizational effectiveness through hands-on development of AI-powered tools, automation, and knowledge systems that transform how our GTM organization operates. You will be the technical force multiplier for our team, building innovative solutions using Amazon QuickSight, Kiro, and other AI technologies to streamline processes, enhance account planning, and accelerate business growth. This role requires expertise in generative AI technologies, hands-on experience building with Amazon QuickSight (including knowledge spaces, flows, and Quick Pages), and the ability to translate business needs into technical solutions. You will own the

### Principal AI Compute SA, AGS Namer Tech - Amazon
- Location: San Francisco, California, USA (unspecified)
- Salary: $210K-$284K
- Posted: 2026-05-26
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10430375/principal-ai-compute-sa-ags-namer-tech
- Excerpt: Principal AI Compute SA, AGS Namer Tech San Francisco, California, USA Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that scale efficiently. As

### Applied Scientist, LLM Code Agents, Kiro Science - Amazon
- Location: Santa Clara, California, USA (unspecified)
- Salary: $172K-$222K
- Posted: 2026-01-16
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3161363/applied-scientist-llm-code-agents-kiro-science
- Excerpt: Applied Scientist, LLM Code Agents, Kiro Science Santa Clara, California, USA Amazon Web Services (AWS) is assembling an elite team of world-class scientists and engineers to pioneer the next generation of AI-driven development tools. Join the Amazon Kiro LLM-Training team and help create groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer that are transforming the software development landscape. Key job responsibilities As a key member of our team, you'll be at the forefront of innovation, where cutting-edge research meets real-world application: - Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence - Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale - Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide - Break new ground in AI and machine learning, challenging what's possible in intelligent code assistance - Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR , ACL, EMNLP) - Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems About the team The AWS Developer Agents and Experiences (DAE) team is reimagining the builder experience through generative AI and foundation models. We're leveraging the latest advances in AI to transform how engineers work from IDE environments to web-based tools and services, empowering developers to tackle projects of any scale with unprecedented efficiency. Broadly, AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's

### Principal GenAI Specialist SA - Amazon
- Location: New York, New York, USA (unspecified)
- Salary: $201K-$272K
- Posted: 2026-03-24
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa
- Excerpt: Principal GenAI Specialist SA New York, New York, USA Application deadline: Jun 14, 2026 Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that

### Senior Applied Scientist, LLM Code Agents, Kiro Science - Amazon
- Location: Santa Clara, California, USA (unspecified)
- Salary: $192K-$260K
- Posted: 2025-10-28
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3117066/senior-applied-scientist-llm-code-agents-kiro-science
- Excerpt: Senior Applied Scientist, LLM Code Agents, Kiro Science Santa Clara, California, USA Amazon Web Services (AWS) is assembling an elite team of world-class scientists and engineers to pioneer the next generation of AI-driven development tools. Join the Amazon Kiro LLM-Training team and help create groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer that are transforming the software development landscape. Key job responsibilities As a key member of our team, you'll be at the forefront of innovation, where cutting-edge research meets real-world application: - Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence - Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale - Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide - Break new ground in AI and machine learning, challenging what's possible in intelligent code assistance - Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR , ACL, EMNLP) - Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems About the team The AWS Developer Agents and Experiences (DAE) team is reimagining the builder experience through generative AI and foundation models. We're leveraging the latest advances in AI to transform how engineers work from IDE environments to web-based tools and services, empowering developers to tackle projects of any scale with unprecedented efficiency. Broadly, AWS Utility Computing (UC) provides product innovations - from foundational services such as

### Sr. Sales Specialist AI/ML - Amazon
- Location: New York, New York, USA (unspecified)
- Salary: $157K-$213K
- Posted: 2026-04-22
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10399133/sr-sales-specialist-ai-ml
- Excerpt: Sr. Sales Specialist AI/ML New York, New York, USA Application deadline: Applications will be accepted on an ongoing basis Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Artificial Intelligence and Machine Learning background, and sales skills necessary to help companies transform their industries by positioning Amazon Web Services (AWS) as the Generative AI service provider of choice? Do you love building new strategic and data-driven businesses? Do you want to join Generative AI Specialty sales organization, one of the fastest-growing organizations within AWS? Join the US AWS US Sales organization as a Generative AI and Machine Learning Specialist Seller! As a Generative AI Sales Specialist, you will be at the forefront of driving adoption for AWS's AIML and Generative AI services. Your role will involve identifying high-value customer opportunities within a specific territory and engaging with AWS customers to understand their needs and align them with AWS Generative AI solutions. You will leverage your consultative expertise to become a trusted advisor, guiding customers in embedding and deploying AWS Generative AI solutions to unlock new value streams and solve key business problems using AWS AIML services. With a passion for developing high-potential opportunities and executing effective strategies, you will own the full-cycle sales, from identifying qualified leads to realizing revenue. You will understand a customer's business initiatives, help craft account plans to achieve those initiatives, identify and drive opportunity win plans to enabling those business initiatives, and ensure

### Senior AI Platform Engineer - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-AI-Platform-Engineer_R165968-1
- Excerpt: Senior AI Platform Engineer 2 Locations posted: Posted 30+ Days Ago

### Senior AI Platform Engineer - Adobe Inc.
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/Senior-AI-Platform-Engineer_R169399
- Excerpt: Senior AI Platform Engineer 3 Locations posted: Posted 8 Days Ago

### Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center - Amazon
- Location: Tokyo, JPN (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-03
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10439323/senior-applied-scientist-generative-artificial-intelligence-ai-innovation-center
- Excerpt: Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center Tokyo, JPN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Generative Artificial Intelligence (AI) Innovation Center team at AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies leveraging cutting-edge generative AI algorithms. As an Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers. We're looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges - Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI - Create and deliver best practice recommendations, tutorials, blog posts, sample

### Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy - Amazon
- Location: San Francisco, California, USA (unspecified)
- Salary: $255K-$345K
- Posted: 2026-02-02
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3172291/member-of-technical-staff-multimodal-reasoning-applied-science-agi-autonomy
- Excerpt: Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy San Francisco, California, USA Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We're enabling practical AI to make our customers more productive, empowered, and fulfilled. Our work leverages large vision language models (VLMs) with reinforcement learning (RL) and world modeling to solve perception, reasoning, and planning to build useful enterprise agents. Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We're entering an exciting new era where agents can redefine what AI makes possible. Key job responsibilities You will lead our efforts to improve the multi-model perception and reasoning abilities of our AI agent in an applied research role. Responsibilities including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff. Basic Qualifications: - 5+ years' experience building machine learning models - PhD or Master's degree in computer science or related field - Proficiency in Python, Java, C++, or related language - Experience with deep learning methods and tools, e.g., PyTorch, JAX Preferred Qualifications: - Background in scientific research with a proven ability to generate and implement new ideas in machine learning - Experience with post-training of large Vision Language Models (VLMs). - Willingness to step outside typical role boundaries to get things done

### Product Manager, Brands AI - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Product-Manager--Brands-AI_R167144-1
- Excerpt: Product Manager, Brands AI San Jose posted: Posted 30+ Days Ago

### AI Security Controls Engineer - Adobe Inc.
- Location: 4 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/AI-Controls-Engineer_R165913-1
- Excerpt: AI Security Controls Engineer 4 Locations posted: Posted 30+ Days Ago

### Associate II, ML Data Operations, GO-AI Operations - Amazon
- Location: Hyderabad, Telangana, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-10
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10388366/associate-ii-ml-data-operations-go-ai-operations
- Excerpt: Associate II, ML Data Operations, GO-AI Operations Hyderabad, Telangana, IND Amazon Robotics develops state-of-the art robotics for Amazon's Fulfillment Centers. Come build the future of human-technology interaction with us. We are combining computer vision, mobile robots, advanced end-of-arm tooling, and a high degree of freedom of movement to solve real-world problems on a huge scale. Our team collaborates with a variety of customers across Amazon worldwide to conceive, develop, prototype, and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. As an Associate II, ML Data Operations, you will be a vital Human-in-the-Loop expert in a non-technical role, responsible for executing data annotation tasks across highly diverse portfolios. Your work directly supports the training and validation of machine learning models for Amazon Robotics and Fulfillment Technologies, ensuring the quality and integrity of data which is critical for frontier AI improvements. Your work will involve analyzing processes such as packaging innovation, object manipulation, inventory storage, and sortation automation within fulfillment environments. This role requires strong attention to detail, the ability to make sound judgments using provided resources, and contributes to maintaining fulfillment center quality metrics through precise text/video/image annotation. This role is offered on a contractual basis, with the opportunity to transition into a full-time position based on performance and business requirements. Basic qualifications • Bachelor's degree in any discipline with 0.6 - 5 years of experience working with data transcription

### Senior Member of Technical Staff, AI Research - Salesforce
- Location: California - Palo Alto; California - San Francisco (unspecified)
- Salary: $179K-$246K
- Posted: 2026-04-29
- Parental leave: 26 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://careers.salesforce.com/en/jobs/jr333832/senior-member-of-technical-staff-ai-research/
- Excerpt: Senior Member of Technical Staff, AI Research California - Palo Alto; California - San Francisco Salesforce AI Research is looking for a Machine Learning Engineer to incubate next-generation agentic AI platform. You will work with research scientists, software engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers. With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond. We are looking for candidates who Has exceptional engineering skills. Has deep ML knowledge with meaningful implementation track records. Prioritize deep and strategic thinking. Has dedication, patience and resilience to build exceptional product experience. Collaborative and win with teams. Proactive and bias to action, comfortable in fast-pacing environment. Competitive coding winner (ACM-ICPC, etc). Startup founders in agentic AI, LLM, area (e.g., YC backed startup) Programming & Systems: Strong proficiency in Python; solid experience with C++ and/or Java Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately

### Staff Product Designer, Workfront AI - Adobe Inc.
- Location: Lehi (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Lehi/Staff-Product-Designer_R169358
- Excerpt: Staff Product Designer, Workfront AI Lehi posted: Posted 8 Days Ago

### Creative Director, AI & Innovation - Adobe Inc.
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Los-Angeles/Creative-Director--AI---Innovation_R167441
- Excerpt: Creative Director, AI & Innovation 3 Locations posted: Posted 30+ Days Ago

### Principal Software Engineer, Alexa AI (AURORA) - Amazon
- Location: Bengaluru, Karnataka, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-01-21
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3163024/principal-software-engineer-alexa-ai-aurora
- Excerpt: Principal Software Engineer, Alexa AI (AURORA) Bengaluru, Karnataka, IND Interested in building Amazon Alexa, Machine Learning, and Generative Artificial Intelligence? We're building products and services that power state of the art for Amazon customers. Come join us! The Alexa AI org is looking for a Principal Engineer to join Aurora (Alexa Understanding, Runtime, ORchestration, and Applied Sciences) - Alexa's AI runtime backbone and horizontal intelligence organization. Aurora is a science and engineering organization that advances research while delivering robust, scalable runtime solutions. We revolutionize conversational AI through three core pillars: architecting mission-critical AI runtime systems, advancing science solutions that connect key conversational capabilities, and transforming how builders create at scale. This role sits at the intersection of latest AI research and large-scale production systems, where you will architect and deliver Pragmatic AI capabilities - AI that is not just technically impressive, but reliably useful, trustworthy, and accessible to real customers in their everyday lives. What makes this role unique You will be building AI experiences that work across the full spectrum of human interaction - multi-modal (speech, text, image, video), multi-lingual (global locales with distinct linguistic and cultural requirements), and multi-model (orchestrating and routing across frontier and specialized AI models to optimize for accuracy, latency, and cost). Your systems will serve customers across a diverse range of endpoints and form factors, from voice-first devices to screen-based and mobile experiences. AURORA influences the full Alexa+ agent execution path - from reasoning to evaluation to runtime - enabling you to operate in

### Applied Scientist, SPX AI Lab - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $143K-$193K
- Posted: 2026-03-02
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3193573/applied-scientist-spx-ai-lab
- Excerpt: Applied Scientist, SPX AI Lab Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities - Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed. - Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions. - Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features. - Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation. - Research and implement novel machine learning and statistical approaches. - Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment. About the team Amazon Seller

### Principal Software Engineer, AI - Workday, Inc.
- Location: Ireland, Dublin (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/Ireland-Dublin/Principal-Machine-Learning-Engineer_JR-0105191-1
- Excerpt: Principal Software Engineer, AI Ireland, Dublin posted: Posted 7 Days Ago

### Enterprise Sales - Creative AI Solutions - Adobe Inc.
- Location: Mumbai (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Mumbai/Enterprise-Sales---Creative-AI-Solutions_R167705-1
- Excerpt: Enterprise Sales - Creative AI Solutions Mumbai posted: Posted 8 Days Ago

### Senior Business Intelligence Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency - Amazon
- Location: Bengaluru, Karnataka, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10417539/senior-business-intelligence-engineer-alexa-alice-ai-logistics-for-infrastructure-cost-efficiency-alexa-ai-logistics-for-infrastructure-cost-efficiency
- Excerpt: Senior Business Intelligence Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency Bengaluru, Karnataka, IND Are you curious about how the underlying cloud infrastructure driving Artificial Intelligence (AI) technologies is managed at Amazon? Did you know that inventing frugality-focused systems and tools for AI infrastructure lifecycle management is a collaborative front row seat to an incredible breadth of AI innovation initiatives? In the Alexa Excellence ALICE (AI Logistics for Infrastructure, Cost & Efficiency) team, we drive the infrastructure orchestration, efficiency and cost optimization mechanisms behind products such as Alexa+; striving to be the world's most capable AI personal assistant. We're seeking a Senior Business Intelligence Engineer who will be a technical BI leader on the ALICE India team, building robust, scalable analytics solutions that inform infrastructure investment decisions across Alexa and Amazon leadership. Key job responsibilities - Own the end-to-end BI strategy across ALICE's portfolio of infrastructure optimization products, including cost visibility, GPU capacity planning, infrastructure waste identification, and service health monitoring - Design and implement scalable dashboards, data models, and reporting solutions that provide visibility into Alexa's infrastructure spend and GPU utilization - Build and maintain data pipelines and self-service analytics capabilities that empower service owners across Alexa to analyze, forecast, and manage their infrastructure usage - Define metrics frameworks, KPIs, and data governance standards across ALICE products - Collaborate with SDEs and Data Engineers to implement data architecture and automate analytical processes - Communicate findings and recommendations to technical

### Generative AI Design Expert - Nike, Inc.
- Location: Beaverton, Oregon (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://nike.wd1.myworkdayjobs.com/nke/job/Beaverton-Oregon/Expert-Designer--Digital-Footwear-Design_R-71324
- Excerpt: Generative AI Design Expert Beaverton, Oregon posted: Posted 30+ Days Ago

### Senior GenAI / Agentic AI Sales Manager, AWS Global Sales, Specialist - Amazon
- Location: Tokyo, JPN (unspecified)
- Salary: Not disclosed
- Posted: 2026-01-21
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3162964/senior-genai-agentic-ai-sales-manager-aws-global-sales-specialist
- Excerpt: Senior GenAI / Agentic AI Sales Manager, AWS Global Sales, Specialist Tokyo, JPN Would you like to be part of a team shaping the future of the IT industry through responsible and innovative use of Artificial Intelligence? Amazon Web Services (AWS) is advancing the next evolution of cloud computing with Generative AI and Agentic AI technologies. We are seeking a Senior GenAI / Agentic AI Sales Manager who brings strong technical AI knowledge together with a customer-centric, outcomes-focused approach to revenue growth. This role partners closely with customers to understand their goals, translate complex AI capabilities into clear business value, and support successful adoption at scale. If you enjoy collaborating with diverse stakeholders, communicating technical concepts with clarity, and contributing to long-term customer success, we encourage you to apply. AWS Global Sales supports customers of all sizes across the region to innovate and grow in the cloud. As organizations increasingly adopt foundation models, large language models (LLMs), and autonomous AI agents, we are expanding our team of technical sales professionals who can identify opportunities, build sustainable pipelines, and guide customers through complex AI adoption journeys across the Asia Pacific Japan (APJ) region. Key job responsibilities Sales & Revenue Contribution - Support the achievement of sales targets by developing and maintaining a healthy pipeline and guiding customers through end-to-end sales cycles, from discovery through agreement - Create thoughtful account plans and territory strategies in partnership with internal teams, while maintaining accurate forecasting using CRM tools - Collaborate with customers to identify

### Sr. GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects - Amazon
- Location: New York, New York, USA (unspecified)
- Salary: $146K-$197K
- Posted: 2026-05-19
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10423965/sr-genai-ml-specialist-solutions-architect-ags-specialist-solutions-architects
- Excerpt: Sr. GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects New York, New York, USA Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI tools on Amazon Web Service (AWS)? Come join us! At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage. Within AWS, we're focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls. AWS is looking for a Machine Learning Solutions Architect (ML SA), who will be the Subject Matter Expert (SME) for helping customers

### Staff AI VFX Engineer - Adobe Inc.
- Location: 4 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-20
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Los-Angeles/Staff-AI-VFX-Engineer_R168433
- Excerpt: Staff AI VFX Engineer 4 Locations posted: Posted 23 Days Ago

### Sr. GTM Specialist AI Infrastructure - Israel, WWSO EMEA Advanced Compute - Amazon
- Location: Tel Aviv-Yafo, Tel Aviv, ISR (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-01
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10435349/sr-gtm-specialist-ai-infrastructure-israel-wwso-emea-advanced-compute
- Excerpt: Sr. GTM Specialist AI Infrastructure - Israel, WWSO EMEA Advanced Compute Tel Aviv-Yafo, Tel Aviv, ISR Join AWS' newly formed AI Infrastructure team to lead the go-to-market strategy for one of the fastest-growing segments in cloud computing for Israel. You will work with the most innovative AI companies in the region-from foundation model builders to enterprises deploying state-of-the art inference and training workloads-helping them run and train Open Weight, Finetuned, Bespoke, and Domain Specific Large Language Models best on AWS. AWS is establishing dedicated AI Infrastructure teams across EMEA to capture the rapidly expanding market for AI training, inference, and accelerated compute. As the Business Development Manager for AI Infrastructure in Israel, you will own the regional GTM strategy, drive revenue growth, and build deep customer relationships with organizations pushing the boundaries of AI-model producers, domain-specific AI builders, startups, ISVs, and enterprises scaling AI-native applications. This is a greenfield opportunity to shape a new function within a high-growth domain. You will be part of an EMEA-wide team of AI Infrastructure specialists, working at the intersection of GPU-accelerated computing, large-scale model training, inference optimization, and cloud infrastructure. The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customers' most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar

### Business Architect & AI Evangelist - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Business-Architect---AI-Evangelist_R164673
- Excerpt: Business Architect & AI Evangelist San Jose posted: Posted 30+ Days Ago

### Sr. Worldwide Partner Specialist - Agentic AI, Data & AI GTM - Amazon
- Location: San Francisco, California, USA (unspecified)
- Salary: $163K-$220K
- Posted: 2026-04-09
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10387288/sr-worldwide-partner-specialist-agentic-ai-data-ai-gtm
- Excerpt: Sr. Worldwide Partner Specialist - Agentic AI, Data & AI GTM San Francisco, California, USA The AWS Data and AI Strategic Partner GTM team supports the world's most innovative partners - from breakthrough startups to Large Language Model Providers (LLMs) to global tech giants - helping them envision and build the future of autonomous AI systems. The Senior WW Partner GTM Specialist for Agentic AI will be the driving force behind AWS's partner strategy for Agentic AI. Your strategies will shape how businesses evolve in the age of AI agents, your insights will influence product directions at AWS, and your vision will help partners transform their business models for the AI era. This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents. If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future. Key job responsibilities Key Responsibilities: • Collaborate with AWS GenAI partners, helping them envision and

### Technical Architect (Python + AI) - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Technical-Architect--Python---AI-_R167029
- Excerpt: Technical Architect (Python + AI) 2 Locations posted: Posted 30+ Days Ago

### Sr. WW GTM Specialist, Agentic AI - Kiro & Frontier Agents, Data & AI GTM - Amazon
- Location: Herndon, Virginia, USA (unspecified)
- Salary: $148K-$200K
- Posted: 2026-05-22
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10428698/sr-ww-gtm-specialist-agentic-ai-kiro-frontier-agents-data-ai-gtm
- Excerpt: Sr. WW GTM Specialist, Agentic AI - Kiro & Frontier Agents, Data & AI GTM Herndon, Virginia, USA Are you ready to lead the world's largest organizations through application modernization? Are you passionate about driving meaningful business changes with Agentic AI? The Agentic Development & Developing Agents (ADDA) organization is responsible for building tools and services that enable AWS customers to leverage Agentic AI to transform and modernize how they build applications on AWS with services such as Kiro. Please see https://kiro.dev/ for more details. We move quickly, experiment, and deliver new capabilities into the hands of our customers at a rapid pace. Join the team as a Sr. Technical Business Development Specialist, Agentic AI for Application Modernization The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam. Key job responsibilities Within WWSO, this position is part

### Senior AI Engineer - Sana - Workday, Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/Sweden-Stockholm/Senior-AI-Engineer---Sana_JR-0107620
- Excerpt: Senior AI Engineer - Sana 2 Locations posted: Posted 7 Days Ago

### AI/ML Specialist Solutions Architect, Telecom, AGS US Specialist SA, TMEGS - Amazon
- Location: New York, New York, USA (unspecified)
- Salary: $131K-$178K
- Posted: 2026-05-22
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10427595/ai-ml-specialist-solutions-architect-telecom-ags-us-specialist-sa-tmegs
- Excerpt: AI/ML Specialist Solutions Architect, Telecom, AGS US Specialist SA, TMEGS New York, New York, USA AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art genAI/ML tools on Amazon Web Service (AWS)? Come join us! At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by machine learning, as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition with deep learning; as is Prime Air. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage. Within AWS, we're focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and

### AI Research Scientist - Motorola Solutions, Inc.
- Location: Bangalore, India (ZIN122) (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 13 weeks (not source-backed)
- Non-birth-parent leave: 13 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://motorolasolutions.wd5.myworkdayjobs.com/Careers/job/Bangalore-India-ZIN122/AI-Research-Scientist_R64110
- Excerpt: AI Research Scientist Bangalore, India (ZIN122) posted: Posted 30+ Days Ago

### Senior Manager, Enterprise AI Strategy - Adobe Inc.
- Location: 8 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-20
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/New-York/Senior-Manager--Enterprise-AI-Strategy_R168007
- Excerpt: Senior Manager, Enterprise AI Strategy 8 Locations posted: Posted 23 Days Ago

### Sr. AI Solution Architect - Amazon
- Location: Buenos Aires City, Buenos Aires Autonomous City, ARG (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-18
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3208378/sr-ai-solution-architect
- Excerpt: Sr. AI Solution Architect Buenos Aires City, Buenos Aires Autonomous City, ARG Amazon Web Services (AWS) is leading the next phase of AI adoption and seeking a hands-on AI Specialist Solutions Architect (SSA) to help customers transform AI ambition into production-ready solutions. As part of the AWS sales organization, you'll work with customers facing complex AI/ML challenges that require expert-level knowledge. You'll craft scalable, flexible, and resilient technical architectures while serving as a trusted advisor throughout their generative AI and agentic AI journey. Key job responsibilities • Build trusted technical relationships with customers of all sizes, serving as their advisor for GenAI/ML and Agentic AI adoption across their cloud journey • Manage technical relationships between AWS and customers, providing recommendations on security, cost, performance, reliability, and operational efficiency to accelerate AI/ML projects • Act as voice of customer internally, sharing feedback and requirements to influence the AWS GenAI/ML and Agentic features roadmap • Design cloud-native architectures that link technology to tangible solutions, defining GenAI/ML and Agentic architectural patterns for diverse use cases • Create and share technical content including whitepapers, code samples, blog posts, and reference architectures; evangelize AWS AI capabilities through workshops, conferences, meetups, and online channels • Lead technical deep dives and workshops, contributing reusable code, reference architectures, and technical assets for the broader engineering organization A day in the life Your day will be a dynamic blend of technical problem-solving and strategic collaboration. You'll engage with customers across diverse industries, diving deep into their unique AI challenges

### Content Operations Lead - AI Studio - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/AI-Studio---Creative-Designer--GenStudio---Firefly-_R169480
- Excerpt: Content Operations Lead - AI Studio 2 Locations posted: Posted 3 Days Ago

### Senior Machine Learning Software Development Engineer, AI Ops Integration - Amazon
- Location: Dublin, IRL (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10438029/senior-machine-learning-software-development-engineer-ai-ops-integration
- Excerpt: Senior Machine Learning Software Development Engineer, AI Ops Integration Dublin, IRL As part of AI Operations Integration, we have a vision to transform Amazon Operations & Supply Chain into an AI-Native organization by delivering intuitive and differentiated AI solutions that solve enduring operational challenges. We blend vision with curiosity and Amazon's real-world experience to build rapidly AI capabilities. We accelerate our customers' businesses: internal operations teams across Amazon's global footprint through delivery of predictive analytics, LLMs and autonomous AI agents to automate decision-making across Amazon's global operations and supply chain. As a Machine Learning Software Development Engineer, you'll design and deploy production ready systems that combine traditional ML with modern agentic architectures to solve impactful operational problems at scale. This role combines the excitement of a startup environment with the scale of Amazon Operations. You'll research state-of-the-art open source and internal tools and will tackle highly ambiguous problems. If you thrive on ownership and dealing with ambiguity, passionate about AI and want to fundamentally influence how Amazon Operations leverages AI, this role offers an extraordinary opportunity to make your mark. Key job responsibilities What you'll do: • Lead the technical design and architecture of production ML/LLM systems end-to-end from data pipelines and model serving to scalable user-facing applications • Architect and build agentic AI solutions that orchestrate complex operational workflows across multiple systems, APIs, and decision points • Define the technical strategy for internal tooling. Designing front-end platforms (dashboards, products) that serve non-technical operations users at worldwide scale • Own

### Principal Architect, Express AI Foundations - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Principal-Scientist_R162131
- Excerpt: Principal Architect, Express AI Foundations 2 Locations posted: Posted 30+ Days Ago

### Senior Generative AI Strategist, Generative AI Innovation Center - Amazon
- Location: SGP (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-20
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10396219/senior-generative-ai-strategist-generative-ai-innovation-center
- Excerpt: Senior Generative AI Strategist, Generative AI Innovation Center SGP Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on partnering with customers to enhance their business or operational outcomes through the use of advanced and emerging technologies. You will partner with customers, AWS Sales, AWS service teams, AWS industry teams and AWS Professional Services delivery teams to craft industry-specific programs that will serve the needs of the customer, and extend that use to other customers within the industry and related industries. You will leverage and refine a programmatic approach to help customers drive their business metrics across a set of industry-specific needs. As a trusted customer advocate, the Generative AI Strategist will assess and deliver best practices around program delivery, project approaches, and business measurement. The ability to connect business value to a scalable, repeatable, extensible approach is critical to the Strategist role. Key job responsibilities - Bring alignment between customer's technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way - Discuss complex industry-specific business concepts with executives, line managers and technologists - Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organisations

### Senior Sales Specialist, GenAI/ML, Enterprise - Amazon
- Location: New York, New York, USA (unspecified)
- Salary: $157K-$213K
- Posted: 2026-04-14
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10391981/senior-sales-specialist-genai-ml-enterprise
- Excerpt: Senior Sales Specialist, GenAI/ML, Enterprise New York, New York, USA Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Artificial Intelligence and Machine Learning background, and sales skills necessary to help companies transform their industries by positioning Amazon Web Services (AWS) as the Generative AI service provider of choice? Do you love building new strategic and data-driven businesses? Do you want to join Generative AI Specialty sales organization, one of the fastest-growing organization within AWS? Join the US AWS Global Sales organization as a Generative AI and Machine Learning Specialist Seller! As a Generative AI Sales Specialist, you will be at the forefront of driving adoption and revenue growth for AWS's Generative AI services. Your role will involve identifying high-value customer opportunities within a specific territory and engaging with AWS customers to understand their needs and align them with AWS Generative AI solutions. You will leverage your consultative expertise to become a trusted advisor, guiding customers in embedding and deploying AWS Generative AI solutions to unlock new value streams and solve key business problems using AI capabilities. With a passion for developing high-potential opportunities and executing effective strategies, you will own the full-cycle sales engagement plan, from identifying qualified leads to realizing revenue. You will understand a customer's business initiatives, help craft account plan to achieve those initiatives, identify and drive opportunity win plans to enabling those business initiatives, and ensure successful launch to realize both customer vision

### Category Analytics and AI Strategy Lead - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Data-Scientist---Growth-Marketing_R167253
- Excerpt: Category Analytics and AI Strategy Lead 2 Locations posted: Posted 30+ Days Ago

### Principal Functional Consultant- AI Practice - Workday, Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/USA-IL-Chicago/Principal-Functional-Consultant--AI-Practice_JR-0107274
- Excerpt: Principal Functional Consultant- AI Practice 2 Locations posted: Posted 4 Days Ago

### Senior Deep Learning Architect, Generative AI Innovation Center - Amazon
- Location: Tokyo, JPN (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10439873/senior-deep-learning-architect-generative-ai-innovation-center
- Excerpt: Senior Deep Learning Architect, Generative AI Innovation Center Tokyo, JPN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run

### Sr Applied Scientist, Applied AI Solutions - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $167K-$226K
- Posted: 2026-03-16
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3205814/sr-applied-scientist-applied-ai-solutions
- Excerpt: Sr Applied Scientist, Applied AI Solutions Seattle, Washington, USA About us As part of the AWS Applied AI Solutions organization, our vision is to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazon's real-world experience with state-of-art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day-putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in. The Role We're seeking a talented Senior Applied Scientist with expertise in large language models, agentic systems, and foundational models. You will be responsible for building the state-of-art multi-agent system, using a handful of methods including fine-tunning, reinforcement learning, etc. You'll accelerate our customer-facing features, contribute to our collaborative and innovative culture, and bring state-of-art applied research that raises the bar for the entire team. Key job responsibilities • Drive end-to-end GenAI projects with high complexity and ambiguity from conception to production • Build, optimize, and deploy ML models while collaborating with software engineers

### Senior Developer, Agentic AI Engineering - Workday, Inc.
- Location: Ireland, Dublin (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/Ireland-Dublin/Senior-Developer--Agentic-AI-Engineering_JR-0103617
- Excerpt: Senior Developer, Agentic AI Engineering Ireland, Dublin posted: Posted 7 Days Ago

### Senior Applied AI Product Manager - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-01
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Applied-AI-Product-Manager_R163097-1
- Excerpt: Senior Applied AI Product Manager 2 Locations posted: Posted 11 Days Ago

### Senior Data Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency - Amazon
- Location: Bengaluru, Karnataka, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10417536/senior-data-engineer-alexa-alice-ai-logistics-for-infrastructure-cost-efficiency-alexa-ai-logistics-for-infrastructure-cost-efficiency
- Excerpt: Senior Data Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency Bengaluru, Karnataka, IND Are you curious about how the underlying cloud infrastructure driving Artificial Intelligence (AI) technologies is managed at Amazon? Did you know that inventing frugality-focused systems and tools for AI infrastructure lifecycle management is a collaborative front row seat to an incredible breadth of AI innovation initiatives? In the Alexa Excellence ALICE (AI Logistics for Infrastructure, Cost & Efficiency) team, we drive the infrastructure orchestration, efficiency and cost optimization mechanisms behind products such as Alexa+; striving to be the world's most capable AI personal assistant. We're seeking a Senior Data Engineer who can help us reshape how Amazon develops and deploys large scale AI systems. If the daily invention of AI infrastructure best practices and the opportunity to influence teams/products across internal Amazon and AWS sounds like a fun challenge (spoiler alert, it is!), come join us on the ALICE team! Key job responsibilities As a Senior Data Engineer within the ALICE team, you will demonstrate exceptional technical leadership with comprehensive scope and substantial influence across Amazon's broader technical community. You will be recognized as a technical authority, providing system-wide architectural guidance and design leadership for the team's data architecture and pipeline automation efforts. This role requires deep expertise in data modeling and robust experience with diverse data design approaches, technical architectures, distributed systems and orchestration implementations. You will work autonomously to address ambiguous problem areas in both

### Senior Manager, Safety AI - Samsara
- Location: Remote - US (remote)
- Salary: $179K-$319K
- Posted: 2026-06-10
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Learning budget: yes (not source-backed)
- Apply: https://www.samsara.com/company/careers/roles/7731751?gh_jid=7731751
- Excerpt: Senior Manager, Safety AI Remote - US Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: The Safety AI team builds end-to-end computer vision and machine learning for Samsara's AI dash cameras - delivering real-time driver safety insights and in-cab alerts. As a Sr. Manager of Machine Learning, you will lead teams that fuse on-device computer vision with IMU, GPS, and vehicle diagnostic data to detect, interpret, and surface actionable safety events and continuous risk signals. You'll own the model lifecycle across edge and cloud - data curation, training, evaluation (including shadow/online experiments), deployment, monitoring, and iteration-and develop

### Principal Product Manager, Brands AI - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Principal-Product-Manager--Brands-AI_R167145
- Excerpt: Principal Product Manager, Brands AI San Jose posted: Posted 30+ Days Ago

### Senior Product Manager, Brands AI - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Product-Manager--Brands-AI_R166924
- Excerpt: Senior Product Manager, Brands AI San Jose posted: Posted 30+ Days Ago

### Business Intel Engineer, GO-AI - Amazon
- Location: Hyderabad, Telangana, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-08
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10415299/business-intel-engineer-go-ai
- Excerpt: Business Intel Engineer, GO-AI Hyderabad, Telangana, IND Amazon Robotics is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art AI. We collaborate with customers across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation. Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. As a Business Intelligence Engineer on GO-AI's Technology & Development Team, you'll work with cross-functional teams (Science, Software, Data, BIE) managing massive-scale, proprietary datasets to develop foundation models that achieve human-level performance on complex real-world tasks. Your work will directly impact millions of daily operations across Amazon's global fulfillment network. This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale. Key job responsibilities • Support leadership decision-making by deep-diving into business hypotheses and anecdotes. • Design and automate ETL

### AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations - Amazon
- Location: Austin, Texas, USA (unspecified)
- Salary: $136K-$184K
- Posted: 2026-03-19
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Surrogacy assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10370980/ai-hardware-systems-engineer-annapurna-labs-trainium-machine-learning-fleet-operations
- Excerpt: AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations Austin, Texas, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Acceleration Fleet Operations Team is looking for candidates interested in diving deep into our fleet of ML servers deployed around the world. We are seeking an engineer who is comfortable debugging emergent problems in GPU and server hardware, writing scripts in languages such as Python or Bash, running large scale experiments on a fleet of complex hardware, developing data infrastructure and analyzing trends, and developing automation software to scale operations. Our team has end to end ownership of some of the most advanced server hardware in the world. We drive technical debug efforts and write truly massive scale autonomous software to monitor, optimize, and remediate machine learning hardware. Come join us! Key job responsibilities - Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products - Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS - Implement

### AI‑Native Platform Engineer – Media Analytics - Adobe Inc.
- Location: Bucharest (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-15
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Native-Platform-Engineer---Media-Analytics_R168759
- Excerpt: AI‑Native Platform Engineer – Media Analytics Bucharest posted: Posted 28 Days Ago

### Sr. Machine Learning Engineer, AWS Applied AI Solution - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $168K-$227K
- Posted: 2026-01-13
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Surrogacy assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3158229/sr-machine-learning-engineer-aws-applied-ai-solution
- Excerpt: Sr. Machine Learning Engineer, AWS Applied AI Solution Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, our vision is to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We accelerate our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazon's real-world experience with state-of-the art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day - putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in. The Role We're seeking a talented Senior Machine Learning Engineer with expertise in agentic system, production ML systems, and scalable deployment architectures. You'll bridge the gap between state-of-art research and customer-facing products, contribute to our collaborative and innovative culture, and deliver production-ready ML solutions that raise the bar for the entire team. What You'll Do • Work closely with Applied Scientists and cross-functional engineering teams to transform research code into robust, scalable production systems • Own end-to-end deployment at scale of Generative AI and ML methods, ensuring reliability and performance • Establish scalable, efficient, automated

### Senior Product Manager, AI Automation - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-14
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Product-Manager--AI-Automation_R168561
- Excerpt: Senior Product Manager, AI Automation San Jose posted: Posted 29 Days Ago

### Senior Machine Learning Engineer, GenAIUX - Amazon
- Location: East Palo Alto, California, USA (unspecified)
- Salary: $193K-$262K
- Posted: 2026-04-13
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Surrogacy assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10390448/senior-machine-learning-engineer-genaiux
- Excerpt: Senior Machine Learning Engineer, GenAIUX East Palo Alto, California, USA Help shape new Generative AIUX products for AWS customers Our team builds Generative AIUX products that transform the way customers design. We are focused on the future of design driven development and democratizing innovation for all builders. We deliver a shared platform across multiple products, and we work on AI-powered tools that use Design Systems to build interfaces, and accelerate design, development, and validation workflows. The two products you will be working on are Venue and project Arena. Venue is an AI powered internal prototyping tool that helps AWS builders create new features using the AWS Cloudscape Design system. Arena is an external version of the tool that helps scale this offering to all of Amazon and to external customers with a focus on 0-1 rapid prototyping. We are seeking a talented and passionate generative/agentic Senior Machine Learning Engineer to join our team and lead the development of cutting-edge AIUX solutions. AIUX is the intersection of Artificial Intelligence and User Experience. AIUX focuses on making sure the user experience is bar raising for a human and simultaneously works well with agents. This includes designing for trust, transparency (letting users know they are interacting with AI), and providing control (allowing users to edit or undo AI actions). It enhances productivity, automates repetitive tasks, and creates more engaging, intuitive, and efficient user experiences. The ideal candidate will bring expertise in generative and agentic AI and data analysis to create intelligent and transformative

### Forward-Deployed AI Engineer - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Forward-Deployed-AI-Engineer_R168316-1
- Excerpt: Forward-Deployed AI Engineer 2 Locations posted: Posted 7 Days Ago

### Principal Content Strategist, AI Learning - Adobe Inc.
- Location: 5 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-19
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Principal-Content-Strategist--AI-Learning_R168828
- Excerpt: Principal Content Strategist, AI Learning 5 Locations posted: Posted 24 Days Ago

### Principal AI Specialist Sales - Amazon
- Location: Taguig City, National Capital Region, PHL (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-05
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3196789/principal-ai-specialist-sales
- Excerpt: Principal AI Specialist Sales Taguig City, National Capital Region, PHL Would you like to be part of a team shaping the future of the IT industry through responsible and innovative use of Artificial Intelligence? Amazon Web Services (AWS) is advancing the next evolution of cloud computing with AI technologies. We are seeking a Principal AI Sales Specialist who brings strong technical AI knowledge together with a customer-centric, outcome-focused approach to revenue growth. This role partners closely with customers to understand their goals, translate complex AI capabilities into clear business value, and support successful AI adoption at scale. If you enjoy collaborating with diverse stakeholders, communicating technical concepts with clarity, and contributing to long-term customer success, we encourage you to apply. AWS Global Sales supports customers of all sizes across the region to innovate and grow in the cloud. As organizations increasingly adopt foundation models, large language models (LLMs), and agentic AI, we are expanding our team of sales professionals. We are seeking professionals who can help customers identify and prioritize AI use cases to create AWS opportunities, build sustainable pipelines, and guide customers through complex AI adoption journeys. Key job responsibilities Sales & Revenue Contribution: - Support the achievement of sales targets by developing and maintaining a healthy pipeline and guiding customers through end-to-end sales cycles, from discovery through to agreement; - Create detailed account plans and territory strategies in partnership with internal teams, while maintaining accurate forecasting using CRM tools; - Collaborate with customers to identify and qualify high-impact

### Program Manager II, Applied AI, Applied AI - Amazon
- Location: Bellevue, Washington, USA (unspecified)
- Salary: $83K-$130K
- Posted: 2026-05-11
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10416609/program-manager-ii-applied-ai-applied-ai
- Excerpt: Program Manager II, Applied AI, Applied AI Bellevue, Washington, USA We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a Generative AI product. The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business. As a member of the Applied AI team, you will push the boundaries of advanced ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. This is an opportunity to play a key role in transforming how a large eCommerce organization continues to grow. Apply now and be part of our journey towards revolutionizing the way businesses operate with AI. Key job responsibilities You will work closely with technical and non-technical, financial, and business stakeholders on delivering strategic initiatives that result in measurable impact. You will work closely with scientists and engineers on establishing engineering practices for the team and the stakeholders with whom you work. You will raise the high quality bar, deliver solutions that align

### Forward Deployed AI Product Manager - Adobe Inc.
- Location: New York (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/New-York/Forward-Deployed-AI-Product-Manager_R164630
- Excerpt: Forward Deployed AI Product Manager New York posted: Posted 30+ Days Ago

### Software Development Engineer, Creative X - Amazon
- Location: New York, New York, USA (unspecified)
- Salary: $158K-$214K
- Posted: 2026-06-02
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10437215/software-development-engineer-creative-x
- Excerpt: Software Development Engineer, Creative X New York, New York, USA Are you passionate about generative AI and building scalable systems that impact billions of customers? Join our team in Amazon Ads, where we're developing GenAI-powered creative infrastructure at Amazon scale, serving 100+ billions monthly ad impressions. Amazon Advertising sits at the intersection of e-commerce and advertising, offering innovative digital ad solutions that help customers discover and shop for anything they need. As one of Amazon's fastest-growing businesses, our mission is to accelerate this growth through world-class engineering, data, and intelligence. Our team is leveraging generative AI to deliver dynamic, personalized ad experiences at massive scale. We help merchants, retail vendors, and brand owners reach customers even before they know what they're looking for. From transforming UX designs into production ready code, to building robust feedback loops, to selecting the most effective creative for each shopper and context in real time, our work powers some of the most visible and valuable placements on Amazon. This is a rare opportunity to collaborate with some of Amazon's top engineers, lead high-impact initiatives, and shape one of the most ambitious bets in Amazon Ads. Join us and help redefine how customers discover and shop on Amazon. Key job responsibilities - Evolve a scalable multi-agent AI application that powers ad placements on Amazon and across premium publisher environments such as NYTimes, seen by billions of customers daily - Design and improve evaluation frameworks, feedback loops, and automated guardrails to elevate agent output quality - Extend

### Computer Scientist 2 ( Data Engineering + AI ) - Adobe Inc.
- Location: Noida (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-2---Data-Engineering---AI--_R169006-1
- Excerpt: Computer Scientist 2 ( Data Engineering + AI ) Noida posted: Posted 7 Days Ago

### AI Solution Engineer - Raytheon Technologies
- Location: Warminster, Wiltshire (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-27
- Parental leave: 4 weeks (not source-backed)
- Non-birth-parent leave: 4 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/Warminster-Wiltshire/AI-Solution-Engineer_01829887
- Excerpt: AI Solution Engineer Warminster, Wiltshire posted: Posted 16 Days Ago

### Senior AI Artist, Social Creative - Adobe Inc.
- Location: San Francisco (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Senior-AI-Artist--Social-Creative_R166644
- Excerpt: Senior AI Artist, Social Creative San Francisco posted: Posted 30+ Days Ago

### Data Scientist, SPX AI Lab, SPX Science - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $136K-$184K
- Posted: 2026-02-05
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3175174/data-scientist-spx-ai-lab-spx-science
- Excerpt: Data Scientist, SPX AI Lab, SPX Science Seattle, Washington, USA The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX AI Lab team is building the AI capabilities powering the Selling Assistant, Amazon's conversational assistant experience for Selling Partners. The Selling Assistant is a trusted partner and a seasoned advisor that's always available to enable our partners to thrive in Amazon's stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the latest advances in Generative AI, going beyond a typical chatbot to provide an intuitive, intelligent, agentic and personalized experience to sellers running real businesses, large and small. Do you want to join an innovative group of scientists, engineers, and product managers who use advanced analytical, statistical, and machine learning techniques to help Amazon create a delightful Selling Partner experience? Are you excited about uncovering insights from massive-scale data, measuring the impact of AI-driven features, and shaping product strategy through rigorous analysis? Do you want to be part of one of Amazon's most strategic initiatives to understand and improve seller experience? If yes, the SPX AI Lab may be the perfect fit for you. Key job responsibilities -- Respond to Seller

### Senior DevOps Engineer (AI Ops) - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-DevOps-Engineer--AI-Ops-_R166623
- Excerpt: Senior DevOps Engineer (AI Ops) San Jose posted: Posted 30+ Days Ago

### Sr. AI Partner Solution Architect, ANZ Partner Team - Amazon
- Location: Sydney, New South Wales, AUS (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10436619/sr-ai-partner-solution-architect-anz-partner-team
- Excerpt: Sr. AI Partner Solution Architect, ANZ Partner Team Sydney, New South Wales, AUS Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a Senior AI Partner Solutions Architect (PSA) to join our ANZ Partner Solutions Architecture team. In this role, you will be a strategic member of the team, working directly with our most strategic consulting and technology partners to accelerate Generative AI, Agentic AI, and ML adoption across Australia and New Zealand. As a Sr. AI Partner Solutions Architect, you will act as a trusted technical advisor to partners and their customers, converting AI ambition into programs and assets that can be delivered, operated, and scaled in production environments. You will combine deep AI/ML expertise with strong relationship-building skills to define cloud-native GenAI and Agentic AI architectural patterns, shape partners' AI technical strategies, and drive measurable customer outcomes through partner solutions. The ideal candidate will possess an expansive hands-on experience designing and implementing production AI systems, along with demonstrated ability to influence technical and business decision-makers. You will think strategically about how emerging AI capabilities can solve real-world business challenges, and act as a thought leader whom partners and customers are eager to engage with. Key job responsibilities - Own the technical AI/ML relationship with our most strategic partners in ANZ, acting as their trusted advisor on Generative AI, Agentic AI, and ML adoption, architecture, and go-to-market strategy. - Architect scalable AI/ML solutions with partners using AWS services, guiding designs from ideation through

### Sr Engineering Manager, AI Enablement - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Engineering-Manager--AI-Enablement_R167650
- Excerpt: Sr Engineering Manager, AI Enablement San Jose posted: Posted 30+ Days Ago

### Solution Engineer - AI & Data Integration - US Federal - Salesforce
- Location: Virginia - Mclean; Illinois - Chicago; Texas - Austin; Georgia - Atlanta; New York - New York; Texas - Dallas; California - San Francisco; Colorado - Denver (unspecified)
- Salary: $135K-$180K
- Posted: 2026-05-28
- Parental leave: 26 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://careers.salesforce.com/en/jobs/jr339538/solution-engineer-ai-data-integration-us-federal/
- Excerpt: Solution Engineer - AI & Data Integration - US Federal Virginia - Mclean; Illinois - Chicago; Texas - Austin; Georgia - Atlanta; New York - New York; Texas - Dallas; California - San Francisco; Colorado - Denver Salesforce is hiring an AI & Data Integration Solution Engineer to join our Global Public Sector team, specifically supporting the US Federal region. The AI revolution is a data evolution, and this critical role sits at the forefront of making agentic AI a reality for our government customers. As an AI & Data Integration specialist, you are more than a technical expert - you are a strategic architectural partner who consolidates expertise across MuleSoft (Integration), Tableau (Analytics), Data 360 (Unified Data Management), and agentic AI to solve complex data and AI challenges for [area] customers. In this role, you will bridge the gap between legacy system connectivity and modern mission outcomes, acting as a trusted advisor who can navigate everything from API management and real-time data unification to advanced analytics and intelligent agentic systems. The Solution Engineer role focuses on closing sales opportunities - collaborating with account executives, customers, and partners to formulate a comprehensive technical account strategy and secure the technical win. You will lead activities to support the sales process including product demonstrations, technical workshop delivery, architecture strategy sessions, and other customer engagements. You will contribute to the success of customers by conducting holistic discovery, defining the “data-to-agentic-AI journey,” and designing compliant, AI-ready architectures that deliver actionable insights from disparate silos

### Engineering Manager, Express AI Foundations - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-01
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Engineering-Manager--Express-AI-Foundations_R168914
- Excerpt: Engineering Manager, Express AI Foundations San Jose posted: Posted 11 Days Ago

### Worldwide Specialist Solutions Architect - Agentic Development, Data & AI GTM - Amazon
- Location: New York, New York, USA (unspecified)
- Salary: $154K-$208K
- Posted: 2026-05-27
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10431946/worldwide-specialist-solutions-architect-agentic-development-data-ai-gtm
- Excerpt: Worldwide Specialist Solutions Architect - Agentic Development, Data & AI GTM New York, New York, USA Do you want to help define the future of Go to Market (GTM) at AWS using generative AI (GenAI)? AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS GenAI Specialist SA! AWS is looking for a Generative AI Solutions Architect who will be the Subject Matter Expert (SME) for helping customers in designing solutions pertaining to application modernization techniques that leverage our Generative AI services. You will interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. As part of the Generative AI Worldwide Specialist organization, you will work closely with other Solution Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for GenAI services. You will interact with other Data Scientists and Solution Architects in the field, providing guidance on their customer engagements.

### Sr. Digital Strategist - AI Adoption - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/New-York/Digital-Strategist---AI-Adoption_R168112
- Excerpt: Sr. Digital Strategist - AI Adoption 2 Locations posted: Posted 30+ Days Ago

### Sr Manager, Applied Science, Alexa for Shopping (Rufus) - Amazon
- Location: Palo Alto, California, USA (unspecified)
- Salary: $252K-$340K
- Posted: 2026-06-01
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10436265/sr-manager-applied-science-alexa-for-shopping-rufus
- Excerpt: Sr Manager, Applied Science, Alexa for Shopping (Rufus) Palo Alto, California, USA Alexa for Shopping (previously Rufus) is seeking a Senior Manager, Applied Science to lead multidisciplinary teams of Applied Scientists and Machine Learning Engineers building next-generation conversational AI and multi-agent systems powering customer-facing experiences at scale. This leader will drive both scientific innovation and execution across large language models (LLMs), agent orchestration, retrieval and grounding systems, evaluation frameworks, and scalable AI infrastructure. The role requires a combination of deep technical judgment, organizational leadership, product and engineering partnership, and operational excellence. The ideal candidate has a strong track record of building high-performing science and engineering teams, translating ambiguous business problems into scalable AI solutions, and delivering measurable customer impact through applied machine learning and generative AI technologies. Key job responsibilities - Lead and grow teams of Applied Scientists and Machine Learning Engineers working on conversational AI and multi-agent orchestration systems. - Define and drive technical strategy for large-scale generative AI systems, including LLM routing, prompting, grounding, memory, tool use, personalization, and response optimization. - Partner closely with Product, Engineering, and Tech leadership to align AI investments with long-term business and customer goals. - Drive end-to-end delivery of production AI systems balancing quality, latency, scalability, safety, and operational reliability. - Establish scientific and engineering best practices across experimentation, evaluation, model iteration, and production deployment. - Lead roadmap prioritization and execution across research innovation and product delivery timelines. - Build scalable evaluation methodologies and quality frameworks for multilingual and global customer experiences.

### Principal Product Manager, Research and AI - Adobe Inc.
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Principal-Product-Manager--Research-and-AI_R166421
- Excerpt: Principal Product Manager, Research and AI 3 Locations posted: Posted 30+ Days Ago

---
Source-backed benefit claims include source links; other benefit values are labeled separately.