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Senior AI Developer (Generative & Agentic AI (SAP BTP) Country Australia | Internal Posting Location Sydney 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. SAP is seeking a highly skilled Senior AI Developer to build and deliver enterprise-grade Generative AI and Agentic AI applications on SAP Business Technology Platform (BTP). As part of the Customer Engagement & Adoption (CE&A) - Global Delivery Hub, you will work closely with solution architects and customer teams to implement scalable, production-ready AI solutions that accelerate AI adoption across SAP landscapes. This role focuses on hands-on solution development and implementation, translating architectural designs and business requirements into robust, high-performing AI applications for enterprise deployment. Key Responsibilities Develop and implement scalable Generative AI and agentic AI applications aligned with defined solution architectures. Translate business and architectural requirements into production-ready AI application components and services. Build and optimize RAG pipelines, retrieval workflows, and hybrid AI solutions for enterprise scenarios. Implement multi-ag

Generative AI Solutions Architect, AWS Global Government Specialist SA Arlington, Virginia, USA Amazon Web Services is seeking a Generative AI Learning Solutions Architect to support our Global Government customers. Are you excited to help Government customers to leverage generative AI in their missions? Eager to learn from many different enterprise use cases of AWS ML and generative AI? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world's AI technology? Come join us! At Amazon Web Services (AWS), we are helping the federal government build and use AI on the AWS Cloud. We are AI to large volumes of data and against a wide spectrum of problems. Generative AI is rapidly growing in importance. We're seeing more and more amazing AI work being done from simple back office applications to complex mission changing agentic workflows. Given the scale required for developing AI models, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping government customers understand how AI can make a big difference to their mission. This position requires that the candidate selected be a US Citizen and obtain and maintain an active Top Secret security clearance. Key job responsibilities As a Machine Learning Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing

Senior AI Engineer (Agentic AI) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago

Senior AI Engineer (AI Factory) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago

Assoc Dir-AI Science Hyderabad, India posted: Posted 9 Days Ago

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

Consulting AI & Data Platform Brazil, BR The professional will be responsible for connecting AI strategy, Oracle AIDP, OCI, Generative AI, data platforms, solution architecture, delivery execution, reusable assets, and commercial acceleration. The ideal candidate must be able to engage executives, challenge weak assumptions, translate business problems into AI solutions, lead technical teams without ambiguity, and convert AI demand into qualified opportunities, prototypes, proposals, and scalable delivery programs. This is a senior role requiring strong executive presence, hands-on AI credibility, commercial attitude, and the ability to operate effectively across Presales, Delivery, Product, and customer stakeholders. Responsibilities • Lead the AI strategy for the Oracle AIDP service practice across LATAM, including Generative AI, RAG, agents, analytics, data modernization, and industry use cases. • Act as the senior AI authority in strategic opportunities, executive workshops, engagements, architecture reviews, and proposal defense. • Translate business challenges into AI solutions with clear value hypotheses, KPIs, architecture, delivery scope, risks, and investment rationale. • Lead solution design for Oracle AIDP-based AI architectures, including Autonomous AI Database, Oracle AI Vector Search, OCI Generative AI, Data Integration, Lakehouse, Analytics, governance, and security. • Build reusable AI assets, including playbooks, demo patterns, reference architectures, estimation models, RAG templates, agent blueprints, and implementation accelerators. • Mentor and raise the technical bar for IC1-IC3 engineers, technical leads, project managers, and presales teams. • Support execution from qualification to prototype and commercial proposal, ensuring each engagement creates a credible path. • Establish AI delivery standards for responsible AI, security, privacy, model

AI & Surge Enablement Lead, EMEA Field Enablement Team, WWFE - EMEA Field Enablement London, England, GBR The AI & Surge Enablement Lead is the single-threaded owner of AI and Surge Inference enablement across the EMEA AGS Sales organisation. This is a high-visibility, high-impact role at the centre of EMEA's #1 strategic priority - equipping our field sales teams with the skills, knowledge, tools, and confidence to lead effective AI conversations with customers and accelerate Surge Inference outcomes at scale. Reporting to the Head of EMEA Enablement, this role owns the strategic enablement relationship with the EMEA AI and Surge Sales Leaders and their organisations, acting as their trusted enablement business partner. The AI & Surge Enablement Lead is responsible for independently developing and driving the AI enablement strategy and program roadmap for EMEA - spanning the full breadth of AI including generative AI, agentic AI, machine learning, AI services, and AI-powered sales tools. They will translate rapidly evolving AI capabilities into practical, field-ready enablement programs that move sellers from foundational AI literacy through to advanced customer engagement and opportunity progression. The successful candidate will be a strategic operator who combines deep domain curiosity with the ability to execute at pace. They will build and own strategic relationships with field leadership and AI stakeholders across EMEA, identify readiness gaps, design and deliver targeted enablement interventions, and measure impact against business outcomes. They will serve as the recognised voice of the field on AI enablement needs and act as the channel

Senior AI Marketing Producer, Media AI Lab San Francisco, CA, USA The Media AI (m.AI) Lab is an AI solutions accelerator for Google, helping marketers see the future and ensure progressive usage of AI. Our mission is to rapidly identify, incubate, and graduate substantive AI tools and operating models that benefit all of Google marketing. As a Senior AI Marketing Producer, you will be a key part of managing Search (product area) creative operations and intake, establishing efficient processes and clarity by translating Product Marketing Manager needs into feasible global creative production plans. You will succeed in changing, team environments and will be comfortable pivoting between multiple projects. Problem-solving comes naturally, and your ability to build consensus and create clarity from ambiguity will be the key to your success. You will be passionate about business transformation, with proven success in navigating the human side of change management as new technologies and ways of working are introduced within a structured organization. You will be a user-centric thinker to communicate topics in a clear manner to influence without authority across levels, functions, and geographies. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium,

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

Sr. SDM, AI Inference Technology, Neuron SDK Seattle, Washington, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. Come develop inference acceleration for AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators that power the latest AI models As the Sr. SDM for the Inference Technology Team, you will lead a strong team of managers and engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. You will be responsible for the full development life cycle of inference library and feature development, including reliability and scalability. You will develop the Neuronx_Distributed Inference Libraries and contribute to other popular open source Inference Libraries, enabling customers to optimize LLMs, multimodal, and generative models. The ideal candidate will have an established background in delivering AI feature support for demanding, fast-changing priorities or delivering high-performance models using distributed inference libraries. The ideal candidate should have a strong technical ability to understand and manage a vertically integrated system stack that consisting of hardware, frameworks, and workflows. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions, developing the full stack of software, servers and

AI Software Engineer Bucharest posted: Posted 30+ Days Ago

SDE-II, AI Core Infra - AI Analytics and Insights Bengaluru, Karnataka, IND Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers and generate massive volumes of data across the advertising lifecycle. We are building a conversational AI assistant that empowers data engineers, analysts, and business stakeholders to interact with our vast advertising data lake through natural language. Using state-of-the-art generative AI, SpektrBot enables teams to generate insights faster by translating natural language queries into accurate, trusted data retrievals, eliminating the friction between questions and answers. As an SDE II on this team, you will be at the center of designing, building, and scaling the systems that power this conversational AI experience. You will architect robust backend services, build reliable integrations with large language models (LLMs), develop retrieval-augmented generation (RAG) pipelines, and engineer the feedback loops that allow our system to continuously evaluate and improve itself. You will work alongside applied scientists, product managers, and fellow engineers in a fast-paced, high-ownership environment where your contributions directly shape the product and influence how thousands of internal customers interact with data. This is a rare opportunity to build a 0-to-1 product at Amazon's scale, one that sits at the intersection of generative AI, data engineering, and conversational interfaces. If you are passionate about building production-grade AI-powered systems, thrive in ambiguity,

Principal Security Solutions Architect, AI-Driven Guidance, Well-Architected Solutions Innovation Bellevue, Washington, USA Do you want to set the standard for how builders architect AI workloads that are secure, reliable, and efficient on AWS - with security as the foundation? We are looking for a Principal Security Solutions Architect with deep expertise in Machine Learning, Generative AI, and Agentic AI to own and drive the strategic vision for Security-focused Architectural Guidance Best Practices across AI workloads. You will operate at the intersection of AI technologies, cloud architecture, and security engineering, ensuring AI workloads achieve Well-Architected outcomes across all six pillars - Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability - with depth in the Security pillar. You will influence both internal AWS teams and the broader builder community. In this role, you will define the long-term technical direction for AI security architectural guidance, translate emerging AI/ML security patterns into prescriptive and actionable best practices grounded in the Well-Architected pillars, and influence AWS service design to better serve AI builders who need to secure their workloads across the full AI lifecycle. Key job responsibilities - Set Strategic Technical Direction for AI Security: Define and own the long-term vision and roadmap for AI/ML security architectural guidance aligned to the AWS Well-Architected Guidance pillars, with deep focus on the Security pillar - including identity, access control, data protection, data residency and sovereignty, threat detection, and incident response for AI workloads. - AI Security & Generative AI Thought Leadership: Serve as the organization's

AI Tutor, Rufus, Amazon Rufus Seattle, Washington, USA Amazon is seeking an AI Tutor who has strong language skills, is exceptionally detail-oriented, and has a track record of exhibiting high judgment in ambiguous environments. This role is based in Seattle (HQ1) or New York City (Manhattan) with 5 days in-office presence. Amazon is unable to offer relocation support for this role. This is an opportunity to join the high-performing team behind Amazon's generative AI-powered shopping assistant. Rufus makes it easy for customers to find and discover the best products to meet their unique needs by helping with product research, providing comparisons and recommendations, answering specific product questions, and more. This role will bring innovation and cohesion to our efforts to deliver a seamless and delightful AI-assisted shopping experience to customers worldwide. We are looking for candidates who are passionate about the intersection of language and technology and are keen to support the training of Large Language Models. This role will be responsible for conducting high-judgment evaluations and labeling data in order to improve the fluency of our Shopping AI model. They will uphold our high standards for style and tone, while using customer feedback to continually iterate and improve the shopping experience. This role requires exceptional written and oral communication skills, excellent judgment, strong interpersonal skills, deep curiosity about how things work, and a passion for serving customers. You must enjoy context-switching and multi-tasking while upholding our high standards. This is an opportunity to gain valuable experience in the growing

AI Platform Engineer Bucharest posted: Posted 2 Days Ago

Senior Applied Scientist, ASCS AI Lab Team Seattle, Washington, USA We are seeking a Senior Applied Scientist to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the AI Lab Team. This role offers a unique opportunity to work on AI research and AI products that will shape the future of online shopping experiences. Our team operates at the forefront of AI research and development, working on challenges that directly impact millions of customers worldwide. We push the boundaries of AI at both the foundational and application layers. As a Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning techniques, apply your research to solve real-world problems at an unprecedented scale, and collaborate with experienced scientists to contribute to Amazon's scientific innovation. Join us in redefining the future of shopping. Your work will directly influence how customers interact with the world's largest online store. Key job responsibilities - Design and implement novel AI solutions for Amazon catalog of products - Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models - Build and deploy autonomous AI Agents in Amazon production ecosystem - Scale AI models to handle billions of diverse products across multiple languages and geographies - Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models,

Senior BTP AI Expert Consultant (f/m/d) Region Europe | Country Germany | Internal Posting Location Walldorf 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. YOUR FUTURE ROLE We are seeking an experienced AI Senior Consultant / Expert (f/m/d) to design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions within our SAP technology landscape. You will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems that drive business value across our organization. What you'll do: Stay current with latest AI trends, tools, and frameworks and SAP technology strategy Advise our customers how SAP Business AI will support their processes and organization Support customers on implementation of scalable Generative AI and Agentic AI applications aligned with SAP reference architectures Collaborate with Product Owners to translate functional requirements into robust technical specifications Guide and mentor junior colleagues to foster AI engineering excellence across teams Work independently, set priorities, and resolve complex cross-functional challenges C

Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago

Forward Deployed AI Engineer Tokyo posted: Posted 30+ Days Ago

Process Executive - AI & Service Management Bhurai, IN Requisition Number: 45146 Business Title Process Executive - AI & Service Management Global Function Business Services Global Department Service Management Reporting to Senior Manager - Center Projects Role Purpose Statement An artificial intelligence (AI) engineer is responsible for designing, developing, and deploying AI solutions that enhance business processes and solve complex problems. Collaborating with cross-functional teams, AI engineers build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure. In addition to technical responsibilities, AI engineers play a strategic role by identifying opportunities for AI applications and driving innovation across processes. With a focus on continuous improvement, AI engineers stay updated on advancements in artificial intelligence, exploring tools like PyTorch, TensorFlow, to enhance scalability and efficiency. This dynamic role is essential for Bunge looking to remain competitive in a rapidly evolving technological landscape. Main Accountabilities Key Responsibilities Develop and implement AI models. Design machine learning models and algorithms to solve problems and enhance functionality. Collaborate with cross-functional teams to build and deploy AI solutions. Optimize AI systems. Improve the performance of AI models and systems for scalability and real-time applications. Conduct data analysis. Analyze large data sets to identify patterns and insights that in

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

AI Transformation Consultant Omaha, Nebraska posted: Posted 11 Days Ago

AI Security Engineer Warszawa Requisition Number: 45722 Overview: The person in this role demonstrates a high level of professionalism, prioritizing the management and successful delivery of moderately complex AI security projects. This role will actively contribute to defining and implementing the necessary guardrails for AI usage across Bunge, and ensure our IT platforms are robust and ready for the future AI environment. Responsibilities include providing leadership to AI security professionals, contributing to resource and policy development, and addressing complex security challenges within Bunge's AI environment. Main Accountabilities: Lead and manage significant operational plans and large-scale AI security projects and initiatives with substantial independence, contributing to their successful execution and strategic alignment, including playing a key role in developing and enforcing AI usage guardrails. Provide leadership and guidance to a team of AI security professionals and support staff, supporting their growth and ensuring their effective contribution to securing AI systems. Hold accountability for the successful results of large and/or moderately complex AI security projects, ensuring objectives are met within established parameters, and actively contributing to the readiness of Bunge's IT platforms for future AI integration. Contribute valuable input on resource planning and the development of security policies specifically tailored for AI/ML systems, ensuring these policies incorporate th