Scale AI jobs

Senior Datacenter Technical Program Manager, At-Scale AI Clusters 3 Locations posted: Posted 4 Days Ago

Director, Artificial Intelligence (AI) Work Location (Country) United States | Remote/Onsite Remote The Director, Artificial Intelligence, will own and deliver the division's AI-driven value creation agenda. This leader is accountable for identifying, prioritizing, deploying, and scaling AI initiatives that drive measurable revenue growth, margin expansion, productivity improvement, and compliance strength. This is a business leadership role that uses AI as a lever - not a technical specialist role. HOW YOU WILL MAKE AN IMPACT: Financial Impact Ownership Deliver defined annual AI-driven EBITDA improvement targets. Build and manage a prioritized AI value portfolio aligned with division strategy. Allocate AI-related investment within approved capital envelope based on ROI and risk. Present AI value creation progress during division operating reviews. Kill, pivot, or scale initiatives based on measurable performance thresholds. Growth & Commercial Enablement Identify AI-enabled revenue growth opportunities (pricing optimization, product differentiation, service models, installed base monetization). Partner with commercial and product leaders to embed AI into customer-facing workflows. Support development of AI-enabled products and digital service offerings. Operational Margin Expansion Lead deployment of AI-enabled workflow automation and process redesign across operations and SG&A. Reduce cycle time, scrap, rework, inventory, and administrative inefficiencies. Standardize and scale proven AI use cases across business units. Ensure AI adoption translates into sustained operati

Senior Member of Technical Staff (AI Infrastructure) Austin, TX, United States, US As a Senior Software Engineer within Oracle Cloud Infrastructure (OCI), you'll have the opportunity to solve large-scale, mission-critical engineering challenges with broad technical impact. Our AI Infrastructure Engineering team is building the services and platforms behind the world's largest AI mega-cluster. These systems support every phase of next-generation data center lifecycle management - including planning, design, deployment, provisioning, operations, repair, and expansion. The platform enables OCI to scale existing regions, rapidly launch new ones, and deliver the infrastructure powering the next wave of AI innovation. We are looking for experienced engineers who thrive in highly technical environments and are passionate about building scalable, reliable, and highly available distributed systems. You will work on foundational infrastructure services that directly influence the growth and reliability of OCI's AI cloud platform. If you enjoy solving complex engineering problems, operating at massive scale, and building systems that power cutting-edge AI infrastructure, we'd like to hear from you. As a Senior Software Engineer, you will lead the design and development of key components within Oracle Cloud Infrastructure. You should be a strong software engineer with deep distributed systems expertise, capable of working across all layers of the stack - from low-level systems and performance optimization to large-scale service architecture and distributed workflows. You will: Design, develop, and operate highly scalable, resilient cloud services Drive architecture and technical direction for critical infrastructure systems Build and optimize distributed systems for performance, reliability, and scale Collaborate

AI Security Architect- ARC, Apple Information Security Cupertino, United States of America We are seeking an AI Security Architect with deep expertise across security architecture, AI/ML systems, and threat modeling to join the Apple Information Security (AIS) Assurance ARC team. You will own security guidance for the most critical, high-risk AI initiatives across Apple, shaping architecture patterns, conducting design reviews, selecting or building security solutions for AI-driven environments, and translating expert decisions into AI-powered guidance that scales across the entire organization. Your work will directly determine how safely and confidently Apple adopts AI at scale. Our scope spans across Apple's products, services, and operations, where the adoption of AI is accelerating at an unprecedented pace. The Assurance ARC organization is entrusted with providing expert security architecture guidance for these AI systems, and your contributions will directly impact our ability to protect against evolving AI-specific threats while enabling the business to innovate securely at scale. In this high-impact role, you will bridge the gap between traditional security practices and emerging AI risks. Operating under Zero Trust principles and Secure by Default framework, you will partner with engineering, data science, product, and compliance teams to build "paved roads" - pre-approved, reusable, secure-by-default patterns that enable teams to build AI-driven systems without a bespoke review for every project. you will amplify the effectiveness of the entire security function, by reducing inbound request volume through proactive foundational work and providing developers, ML engineers, and traditional security architects with clear guidance and standardized controls, Leveraging

Scaled Services Strategy and Operations Manager II, AI Transformation, Google Cloud Chicago, IL, USA; +3 more The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. As the Scaled Services Operations Manager, your objective is to fundamentally rewire how the Google Cloud ecosystem operates. We cannot scale our global sales and services simply by adding headcount; we must scale exponentially through intelligent automation. Your objective is to hunt down complex, manual bottlenecks across our business and replace them with transformational AI, automation, and agentic solutions. You will own the entire lifecycle of operational transformation: from mapping out the initial end-to-end business process and analyzing the data, to actually building the solution. You will be expected to self-build the initial V1 AI prototypes. When those prototypes are ready to scale globally, you will serve as the crucial bridge to our engineering teams, translating your operational needs into precise, foolproof technical requirements. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $222000

Senior Staff AI-Native Software Engineer – Agentic Systems Santa Clara, CALIFORNIA, United States Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description: AI Engineering and Delivery is the customer-obsessed engineering group building the agentic AI and enterprise-scale search systems that power Now Assist, AI Agents, and the AI-driven experiences our customers rely on every day. We build AI as foundational platform infrastructure - prioritizing robustness, performance, safety, and real-world customer impact at scale. About the Team AI Engineering and Delivery is the customer-obsessed engineering group building the agentic AI and enterprise-scale search systems that power Now Assist, AI Agents, and the AI-driven experiences our customers rely on every day. We build AI as foundational platform infrastructure - prioritizing robustness, performance, safety, and real-world customer impact at scale. Types of problems you'll get to work on You will design, build, and operate production-grade agentic AI systems embedded across ServiceNow's

Applied AI Engineer - iCloud Data Cupertino, United States of America Would you like to drive the future of Apple's data platform and shape how AI fundamentally transforms the way we build, operate, and scale data at Apple, while having the unique opportunity to impact some of the most far-reaching software applications in the world? The iCloud Data organization within Apple Services enables iCloud users to access all their content across apps (Photos, Mail, Messages, FaceTime, Calendar, Enterprise & Education etc) on every device, all the time, through consistent, scalable, timely, accurate, complete and fully integrated data infrastructure that surfaces relevant information. We are investing deeply in a new generation of AI-native capabilities, agents, intelligent workflows, and self-serve analytics, to accelerate our Data Engineering and Data Science teams and define what an AI-first data organization looks like at Apple scale. If this excites you and you're energized by taking novel AI techniques from research to production on hard, high-leverage, high-scale problems, we'd love to hear from you! We're seeking a top-tier Applied AI Engineer with strong architectural thinking, deep AI/ML knowledge and robust software skills, who has built AI products end-to-end, has sharp intuition for LLMs, agents, retrieval and evaluation, and shares our passion for trustworthy data-driven products at Apple. Build the AI foundation of our data platform, scalable and trustworthy AI products, agents and workflows that power self-serve analytics, experimentation, and data engineering across iCloud, in partnership with Engineering, Data Science, Product, Platform and Research, improving how we build,

AI Builder - Full Stack Madrid; Valencia Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. About the Role 📍Hybrid from Madrid or Valencia You will engineer the core of our proprietary internal platform that democratizes AI across the company. This is not a standard full-stack role maintaining existing systems, you will build the factory that enables other teams to create autonomous AI Agents. You will design Chain of Thought reasoning flows, integration layers, and agent logic that allow AI to execute complex business tasks at scale. This is applied AI engineering: no model fine-tuning, just sophisticated system design and relentless execution. You

Scaled Services Strategy and Operations Manager III, AI Transformation, Google Cloud Chicago, IL, USA; +3 more The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. As the Scaled Services Operations Lead, your objective is to fundamentally rewire how the Google Cloud ecosystem operates. We cannot scale our global sales and services simply by adding headcount; we must scale exponentially through intelligent automation. Your objective is to hunt down complex, manual bottlenecks across our business and replace them with transformational AI, automation, and agentic solutions. You will own the entire lifecycle of operational transformation: from mapping out the initial end-to-end business process and analyzing the data, to actually building the solution. You will be expected to self-build the initial V1 AI prototypes. When those prototypes are ready to scale globally, you will serve as the crucial bridge to our engineering teams, translating your operational needs into precise, foolproof technical requirements. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $186000 - $270000

Global Demand Management Expert - Data & AI Country USA | Internal Posting Location Chicago We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Summary: Lead the definition and execution of global demand planning and steering for AI Agents and Intelligent Packages across SAP's Data & AI portfolio. Translate strategy into integrated, measurable demand programs that drive pipeline generation, customer activation, consumption, and expansion at scale. This role ensures SAP's Data & AI offerings achieve programmatic, scalable demand across launches and scaled consumption-directly impacting pipeline, customer value realization, and revenue growth. What you'll do Define and own the global demand strategy and ambitions (pipeline, activation, consumption) for AI Agents and Intelligent Packages. Convert Data & AI GTM priorities into Integrated Demand Programs (IDPs) and standardized KPIs. Orchestrate global launches, field activation, and post-launch scaling; enable regions to localize into a single DG Action Plan. Align cross-functional stakeholders (Sales, Marketing, Partners, Services, Digital Hub, Customer Success) to prevent frag

Senior Principal Applied Scientist (OCI/GEN AI) United States, US At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. The Oracle Cloud Infrastructure (OCI) Generative AI science team is responsible for growing OCI's Generative AI, Agent and Analytics services. Our goal is to build foundational technologies and enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI, Database and Analytics. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality Generative AI models, Data Agent, Analytics solutions and services that delight our customers with the confidence that their data is safe and protected. Career Level - IC5 We are seeking an exceptional applied scientist to work on innovative Generative AI & Data Analytics modeling research and development efforts. As a Senior Principal Applied Scientist in Generative AI Science team, you will be architecting, building and deploying cutting-edge, high-quality AI models and solutions at scale. You will work with a team of world-class scientists in exploring new frontiers of Generative AI and collaborate with cross-functional teams including software engineers and product managers to deploy these globally for real-world enterprise use-cases at the largest scale. You will play a key role in shaping the future of

AI Platform Engineer Bengaluru, Karnātaka, India Exciting opportunity for an AI Platform Engineer to design and operate large-scale Kubernetes-based AI infrastructure at eBay. Leverage your expertise in GPU clusters, RDMA networking, and distributed systems to power next-generation AI-driven platforms. Join a collaborative team driving innovation in global ecommerce technology.

AI Platform Engineer Bengaluru, Karnātaka, India Exciting opportunity for an AI Platform Engineer to design and build scalable AI-driven platforms at eBay. Leverage your expertise in Python, MLOps, distributed systems, and cloud-native technologies to power next-generation AI solutions. Collaborate with top talent and drive innovation in a global, high-impact environment. Join us and shape the future of AI at scale!

Gen AI Engineering Senior Director Chicago, IL, United States The Gen AI Engineering Senior Director leads the strategy, architecture, and delivery of enterprise-scale AI platforms, including GenAI, machine learning, and agentic AI capabilities. The Director ove...

Director, AI Change Enablement San Jose, California, United States of America Join our team as Director, AI Change Enablement and lead the transformation of workforce strategy at eBay. Drive enterprise-wide AI adoption, shape organizational change, and empower teams to thrive in an AI-enabled environment. Collaborate with senior leaders and cross-functional teams to deliver impactful change and innovation at a global scale.

Manager I, Engineering - AI Platform - Training & Serving Paris, France The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI , LLMObs and all our AI research . As an engineering manager for the Training & Serving team, you'll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: distributed training of foundation models, serving at scale, designing the user experience. You'll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You'll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Manage and grow the Training & Serving team, directly managing 10+ engineers Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap. Work with our core platform teams to tailor Datadog's storage, infrastructure and

Senior Engineer - AI & ML Chennai, TN, IND We are looking for a highly experienced Senior Engineer with deep expertise in AI and Machine Learning platforms to lead the architecture and engineering of our enterprise AI infrastructure. This role will drive the design and scalability of cloud based AI platforms, ML lifecycle systems, and AI driven engineering capabilities across the organization. The Principal Engineer will play a critical role in enabling production grade AI and ML solutions by building the underlying platform, infrastructure, and automation required to support model development, deployment, monitoring, and governance at scale. This is a senior individual contributor role focused on AI platform architecture, Cloud infrastructure, and AI driven engineering innovation . Required Qualifications 12 or more years of experience in software engineering, platform engineering, or cloud architecture. Strong expertise in AI and machine learning systems and production ML platforms . Experience designing and operating AI or ML platforms at scale . Deep experience with cloud infrastructure such as AWS and distributed systems. Experience with container orchestration platforms such as Kubernetes. Strong understanding of MLOps practices and ML lifecycle management . Programming experience in languages such as Python, Java, or similar. Experience in AWS cloud. Experience working closely with data science teams to operationalize machine learning models. Preferred Qualifications Experience with large scale data processing platforms and AI training environments. Experience deploying real time and batch AI inference systems. Familiarity with generative AI, LLM based systems, or modern AI platforms. Experience in Building solution using

Distinguished Technologist, Private Cloud AI San Jose, California, United States of America Exciting opportunity for a distinguished technologist to lead AI architecture and technical design for private cloud solutions. Drive innovation in agentic and generative AI, shape scalable AI platforms, and mentor top talent. Join us to influence the future of AI at scale and make a global impact in a dynamic, hybrid environment.

Senior Director of AI and Data Strategy Cambridge, United Kingdom Join our team as Senior Director of AI and Data Strategy to lead enterprise-scale AI initiatives in life sciences and biotechnology. Drive digital transformation, AI adoption, and data strategy across commercial and supply chain operations. Collaborate with executive leadership and cross-functional teams to deliver measurable impact in a dynamic, innovative environment.

Director, AI Workflow Transformation San Jose, California, United States of America Join our team as Director, AI Workflow Transformation and lead the re-engineering of enterprise workflows at scale. Drive digital transformation, partner with business and IT leaders, and shape the future of AI-powered collaboration at eBay. Make a measurable impact by optimizing workflows and enabling global adoption of cutting-edge AI capabilities.

AI Solution Architect Escazú, San José, Costa Rica The AI Solution Architect is a hands-on technical leader responsible for designing, building, and scaling enterprise-grade AI and agentic AI solutions within the Enterprise AI Center of Excellence (CoE). This role blends solution architecture, engineering delivery, and standards definition to ensure AI solutions are production-ready, secure, reusable, scalable, and governed across the enterprise.

Software Engineering Manager, Emergent AI infrastructure Team Hyderabad, Telangana, India Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Emergent AI infrastructure team in Google is looking to build the next generation of on-premises Artificial Intelligence (AI) infrastructure to bring the best of Google to empower Frontier model and AI solution builders to advance the state of the art for AI around the world. In this role, you will fully integrate AI infrastructure systems, from hardware to software design and workload management. You will have experience building very large AI clusters using the latest technologies

Engineering Manager, Hybrid and On-prem AI Infrastructure Warsaw, Poland Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. Our team is building the future of at-scale computing by delivering a groundbreaking, on-premises AI supercomputer - the next evolution of Google's AI accelerators hardware. This is an opportunity to join a "special project" team creating a novel solution for customers with sophisticated security and locality requirements. You will be at the heart of building the next generation of AI hardware and the critical software that brings it to life. This is a chance to make a Google-level

Tech Lead Manager, Kubernetes AI Infrastructure Kirkland, WA, USA; +1 more Like Google's own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a SWE Manager you manage your project goals, contribute to product strategy and help develop your team. SWE teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. Google is looking to build the next-generation of on-prem AI infrastructure to bring the best of Google to empower Frontier model and AI solution builders to advance for AI around the world. Our team is responsible for building reliable and scalable TPU orchestration with Kubernetes. Our goal is to enable customers to effectively and reliably run their GenAI workloads by leveraging Google TPU infra at scale. The team is on a mission to redefine the future of at-scale computing by delivering a groundbreaking, on-premises AI supercomputer experience with K8s. This is a unique opportunity to join a "special project" team creating a novel