Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Currently tracking 1088 active AI roles, with 1262 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1550 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (8). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (996 roles), Canada (60 roles), United Kingdom (49 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 706 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr. Worldwide Partner Specialist - Agentic AI, Data & AI GTM This role focuses on developing and executing AWS's partner strategy for Agentic AI, aiming to accelerate the adoption of AI agents and autonomous AI systems among businesses. The specialist will collaborate with partners to envision and implement agent-based solutions, provide thought leadership, build enablement programs, and analyze market trends to influence AWS's Agentic AI strategy and product development. | — | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on building and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads, specifically designing and delivering server hardware for AI training and inference. The candidate will work across the full technical stack from baremetal hardware to userland software, solving complex architectural problems related to server systems, their testability, reliability, and diagnosis, with the goal of delivering continuous price-performance improvements for large language models at cloud scale. | Serve |
| 5 |
| Software Development Engineer, AWS Software Development Engineer role at Amazon Web Services (AWS) focusing on building and maintaining code, implementing software solutions, and collaborating with cross-functional teams. The role also mentions potential specialization in Artificial Intelligence/Machine Learning and Healthcare AI, with preferred qualifications in ML frameworks and fundamentals. | Serve | 5 |
| PMT - Amazon Learning Companion (ALC), Central Learning Solutions (CLS), Technology Seeking a Principal Product Manager - Technical to define and deliver the vision, strategy, and technical roadmap for Amazon Learning Companion (ALC), an AI-powered Learning Intelligence Platform. This role focuses on consolidating learning data and systems to enable personalized, data-driven learning experiences at scale, introducing self-service analytics, natural-language data access, and predictive insights. The PM will collaborate with Data Engineering, Applied Science, and Software Development teams to define platform architecture, data models, and technical mechanisms, influencing senior stakeholders and driving alignment across organizations. | Ship | 5 |
| Principal, Technical Program Mgr., Brand Measurement, Measurement, Ad Tech, and Data Science (MADS) This role is for a Principal Technical Program Manager at Amazon, focusing on brand measurement solutions within Ad Tech and Data Science. The role involves leading the development and delivery of innovative solutions that help advertisers measure, analyze, and optimize their brand-building campaigns. It requires managing large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems, and delivering AI-driven insights to empower advertisers. The position emphasizes program management, technical strategy, cross-functional leadership, and operational excellence in a mature, large-scale environment. | — | 5 |
| Sr. Product Manager, Technical, US Prime and Marketing Tech This role is for a Senior Product Manager, Technical, focused on creating and building critical services that automatically generate, target, and optimize Amazon's cross-category marketing and merchandising using GenAI technologies. The role involves leading projects with distributed systems, generative AI integration, real-time personalization, and multi-channel orchestration, impacting how customers discover products at scale. | Agent | 5 |
| Senior Software Engineer - SoC DevOps, MLA-MI - Annapurna Labs Senior Software Engineer focused on DevOps for AWS's custom ML chips (Trainium/Inferentia), enabling rapid software development for AI training and inference. The role owns CI/CD pipelines, release processes, and hardware-in-the-loop testing infrastructure to ensure timely and quality software delivery for silicon development. | — | 5 |
| Senior UX Designer, Fashion and Fitness Subs Senior UX Designer for Amazon Merch on Demand, focusing on creating a store experience for sports teams and organizations. The role involves designing end-to-end customer journeys, including AI-generated designs, and partnering with cross-functional teams. The position emphasizes leveraging AI and automation to simplify complex processes and scale the experience. | — | 5 |
| Sr. Specialist Sales Rep, GenAI/ML, Financial Services This role is for a Sr. Specialist Sales Representative focused on Generative AI/ML within the Financial Services Industry. The primary responsibility is to drive adoption and revenue growth for AWS's Generative AI services by identifying customer opportunities, understanding their needs, and positioning AWS solutions. The role involves consultative selling, building trust with customers, and collaborating with internal teams and partners to deliver value and achieve sales goals. | — | 5 |
| Sr TPM, Amazon Supply Chain Senior Technical Program Manager to define, own, and drive technical programs for GenAI/Agentic AI solutions within AWS Applied AI Solutions, focusing on supply chain operations. The role involves partnering with product management and technical leadership to identify opportunities, influence strategy, and align roadmaps across engineering and science teams. | Agent | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Software Development Engineer, AWS SDE Centralized Team This is a general Software Development Engineer (SDE) role within AWS that can be considered for various teams, including those focused on AI/ML. While AI/ML is mentioned as a potential specialization, the core responsibilities are for a general SDE, focusing on designing, developing, and maintaining code, implementing software solutions, and collaborating with cross-functional teams. The role emphasizes core software engineering principles and does not appear to be directly building or shipping AI models as its primary function. | — | 5 |
| Software Engineer - ML and Distributed Systems, Amazon Personalize Software Engineer role focused on building and scaling a large-scale machine learning platform for Amazon Personalize, an AWS service that provides individualized recommendations. The role involves architecting and developing the platform, optimizing performance, and creating solutions for distributed systems. | Serve | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on designing, delivering, and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting continuous price-performance improvements for large-scale LLM training and inference. The candidate will work across the full technical stack from baremetal server hardware to userland software, acting as a technical leader and systems debugger. | Serve | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on building and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting generative AI training and inference. The Systems Development Engineer will work on server designs, optimizing price-performance, and ensuring reliability and scalability of the underlying hardware infrastructure. | Serve | 5 |
| Senior Business Development, Telecom CX Senior Business Development Manager for Telecom CX at Amazon, focusing on leveraging Generative AI and Agentic AI to modernize customer journeys and contact center solutions. The role involves engaging with senior executives, understanding industry challenges, and delivering business outcome-driven propositions. | — | 5 |
| Sr. Security Services SA, AWS Security Services SA - North America This role is for a Senior Solutions Architect on a new AWS Security Services team focused on driving customer adoption of AWS security services, particularly for generative AI and agentic architectures. The role involves owning the technical relationship with enterprise customers, architecting secure solutions, and providing feedback to product teams. It is a founding role on a new team, requiring the individual to help define processes and playbooks. | — | 5 |
| Principal Product Manager - Tech, RISC Inventory Management Principal Product Manager - Tech for Amazon's RISC team, focusing on inventory management to ensure customer safety and compliance by removing unsafe products from the fulfillment network. Owns product strategy, definition, and execution, partnering with engineering and product leaders across multiple VP organizations. Drives improvements in key metrics related to product suppression, inventory reduction, and reinstatement timelines. | — | 5 |
| GenAI Experiences Demo Architect , AWS Professional Services This role focuses on creating and delivering AI-powered demonstrations for AWS customers, educating them on AI technologies and their business value. It involves building high-quality demos, providing technical guidance, and facilitating hands-on experiences with AWS services and partner solutions, ultimately driving customer engagement and pipeline opportunities. | Ship | 5 |
| Data Engineer, PXT Central Science Data Engineer on the PXT Central Science team, responsible for enhancing data architecture, building features, developing end-to-end data engineering solutions for analytical problems, and collaborating with scientists and engineers. Focuses on data pipeline development, model productionization, API development, data integration, and quality checks within an AWS environment. | Serve | 5 |
| Senior Technical Program Manager, GenAI Games, Amazon Games GenAI & Strategic Initiatives Senior Technical Program Manager for Amazon Games GenAI team, focusing on delivering innovative Gen AI games. This role involves program management across a portfolio of AI games, acting as a liaison between GenAI tooling, AWS, and studio teams. Responsibilities include onboarding developers to AI services, shaping the product roadmap, assessing AI models and tools, and coordinating with various stakeholders for successful game launches. The role requires strong technical program management experience, game industry experience, and fluency in Generative AI concepts. | Ship | 5 |
| Program Manager III, (Alpha/Beta Testing), Insights & Research Program Manager for Alpha/Beta testing of crime reduction products, leveraging AI-powered analytics tools to process user feedback, generate insights, and drive product launches. Focuses on managing testing programs, recruiting participants, monitoring engagement, and synthesizing AI-generated reports with qualitative insights. | — | 5 |
| Solutions Architect, Hi-Tech and Semiconductor Solutions Architect for AWS Global Sales, focusing on driving adoption of AWS cloud services, including Generative AI and intelligent automation, for enterprise customers in the Hi-Tech and Semiconductor industry. The role involves building technical relationships, making recommendations on cloud architecture, and educating customers on AWS technologies and new possibilities with services like Amazon Bedrock and Agentic AI architectures. The role also involves creating and sharing best practices and technical content. | — | 5 |
| Embedded Software Engineer, Server Control Firmware Embedded Software Engineer role focused on developing and maintaining firmware for Machine Learning Accelerator (MLA) servers, including Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software. The role involves hardware/software co-design, device drivers, control systems, and automation for server infrastructure that supports ML workloads, but does not involve developing ML algorithms directly. | — | 5 |
| Sr. Business Intelligence Engineer, AWS GDSP A&I This role focuses on Business Intelligence and Data Analytics for Private Pricing Deals within AWS. It involves creating performance reports, providing insights, building analytical models for hypothesis testing and forecasting, and developing self-service dashboards. The role requires strong SQL, Python scripting, and experience with AWS technologies, with a focus on translating business requirements into data-driven solutions. | — | 5 |
| Senior Quality Auditor, Artificial General Intelligence This role focuses on auditing and ensuring the quality of machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of auditors, execute complex audits, and provide analysis and insights for optimization. The role requires hands-on audit execution and leadership experience in technical domains. | Data | 5 |
| Principal Data Engineer, Intelligent Talent Acquisition Lead high scope technical projects in Intelligent Talent Acquisition (ITA) Data team, focusing on data strategy, design, and hands-on development of complex products, mentoring data engineers, and ensuring high-quality data provision. Partner with stakeholders to develop scalable interoperability solutions. | Data | 5 |
| Signal & Power Integrity Engineer, Annapurna Labs - AI Silicon Packaging This role focuses on Signal and Power Integrity (SI/PI) analysis and optimization for advanced packaging solutions of machine learning and data center ASICs. The engineer will perform simulations, build models, and contribute to design decisions across IC, package, and board boundaries, working with senior engineers to meet performance and power delivery targets. Responsibilities include package-level SI/PI simulations, stack-up design support, high-speed channel simulations, modeling advanced interconnects, and validating decoupling technologies. The role also involves coordinating with SoC and board design teams and identifying potential manufacturing risks. | — | 5 |
| Sr Mgr Customer Solution Manager, Energy and Utility This role is for a Senior Manager of Customer Solutions Management within Amazon's Energy and Utilities sector. The primary focus is on accelerating cloud and AI adoption for customers, leading a team of CSMs, and guiding complex implementations. The role involves translating technical concepts into business outcomes, managing risks, building scalable mechanisms, and driving the adoption of Generative AI within the CSM function. While AI is a key focus for customer adoption and internal scaling, the role itself is not directly building AI models but rather enabling customers and internal teams to leverage AI solutions. | — | 5 |
| Principal Evangelist, Startups and Venture Capital, AWS Startup Marketing This role is for a Principal Evangelist at AWS Startup Marketing, focusing on showcasing how startups can leverage AWS cloud and AI services to accelerate their growth. The individual will create and present technical content, lead engagements with startups and VC firms, and act as a public-facing evangelist. While the role involves discussing AI services and generative AI tools, the core function is marketing and evangelism, not direct AI/ML model development or deployment. | — | 5 |
| Sr. Technical Evangelist, Government, Worldwide Public Sector Marketing This role is for a Sr. Technical Evangelist focused on the US Public Sector, specifically government and defense. The primary responsibility is to translate complex cloud and AI architectures into compelling narratives and presentations for public sector leaders, showcasing how AWS services, including AI, can transform their operations. The role involves creating and delivering technical content, engaging with government agencies, and acting as a public-facing evangelist. While AI is a key component of the value proposition, the role itself is not about building or shipping AI models, but rather about evangelizing their use within the public sector context. | — | 5 |
| Principal Sales Specialist, GenAI, Auto & Mfg This role is a sales specialist focused on driving the adoption of AWS Generative AI services within the automotive and manufacturing industries. The primary responsibility is to understand customer needs, articulate the value of AWS AI solutions, and guide customers through the sales lifecycle from ideation to production. The role involves collaborating with account teams, solution architects, and partners to embed and deploy AWS Generative AI solutions, ultimately unlocking new value streams and solving business problems for customers. | — | 5 |
| Sr Product Manager, AWS GDSP A&I Product Manager for AWS Private Pricing, focusing on tools and technology enhancements, including generative AI, to improve internal and external customer experience and drive growth. Owns the full product lifecycle for these tools. | — | 5 |
| Sr. Program Manager, eXperience Measurement Science (XMS) This role is for a Sr. Program Manager on the eXperience Measurement Science team at Amazon. The primary focus is on managing employee listening programs and survey campaigns, leveraging generative AI and statistical models to improve employee experience. The role involves collaborating with cross-functional teams, developing content management strategies, and identifying process improvement opportunities. While AI tools are used, the core craft is program management and product development in the employee experience domain, not direct AI/ML model building. | — | 5 |
| Sr. Product Marketing Manager - Tech, Healthcare and Life Sciences Industry, AWS Industry Marketing Product Marketing Manager for AWS Industry Marketing, focusing on Healthcare and Life Sciences. This role involves translating complex cloud and AI solutions into customer value, influencing product strategy, developing positioning and messaging, and acting as a technical evangelist. Requires a blend of technical understanding and business strategy, with experience in the Healthcare/Life Sciences industry and generative AI. | — | 5 |
| Sr. Signal & Power Integrity Engineer, Annapurna Labs - AI Silicon Packaging This role focuses on Signal & Power Integrity (SI/PI) analysis and optimization for advanced packaging solutions of machine learning and data center ASICs. The engineer will lead package-level SI/PI strategy, design and optimize package stack-ups, perform high-speed channel simulations, analyze and optimize the package PDN, and model advanced interconnects. The role requires expertise in SI/PI tools, advanced packaging technologies, and correlation of simulations with lab measurements. | — | 5 |
| Senior Startup Investor Manager, VC, AWS, Startup Investor Management This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The Senior Startup Investor Manager will leverage technical understanding of cloud and emerging technologies, like generative AI, combined with business acumen to identify opportunities and ensure startups have access to the necessary resources to build products on AWS. The responsibilities include creating investor-focused programs, implementing solutions, collaborating cross-functionally, monitoring program effectiveness, collecting market signals, evaluating startup potential, and advising portfolio companies on cloud architecture and go-to-market strategies. | — | 5 |
| Senior Program Manager, Alexa Audio Senior Program Manager for Alexa Audio, focusing on delivering audio experiences for internal and external partners, with an emphasis on Generative AI and LLM capabilities. Responsibilities include program definition, scoping, end-to-end delivery, stakeholder management, and strategic roadmap development, particularly concerning Legal, Privacy, Trust, and Voice of Customer programs. | — | 5 |
| Sr. Product Manager- Technical, Agentic AI, AWS Transform This role focuses on defining and delivering services and tools that leverage generative AI and agentic techniques for large-scale code transformations and modernization within AWS. The Product Manager will drive the product roadmap, work with engineering and design teams, and create go-to-market plans for AI-powered automation solutions. | — | 5 |
| AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations The role focuses on operating and optimizing a fleet of ML servers and accelerators, debugging hardware and software issues, developing data infrastructure, and creating automation software for operational scaling. It involves system remediation, root cause analysis of hardware failures, and implementing system-level testing. | — | 5 |
| AWS Certification Program Leader, AWS Certification This role leads the strategy, development, and global delivery of AWS Certification exams, focusing on validating cloud expertise. It involves end-to-end portfolio management, from content creation to go-to-market execution. A key aspect is reimagining skills assessment by leveraging AI, adaptive techniques, and psychometric models for continuous validation of cloud skills at scale. | — | 5 |
| Principal Security Engineer, AWS Network Servcies, AWS Network Services Principal Security Engineer for AWS Network Services, focusing on securing customer workloads and developing security products. The role involves using AI for security and securing AI workloads, making high-judgment security decisions, coaching junior engineers, and contributing to threat intelligence and network security services like WAF, BOTS, and DDoS Protection. Requires experience in delivering cyber security solutions, creating security strategies, and shipping production code. | — | 5 |
| SDE-II, Healthcare AI Software Development Engineer II (SDE-II) for AWS Applied AI Solutions, specifically focusing on building Amazon Connect Health within the Healthcare AI organization. The role involves designing and developing scalable software systems, writing high-quality code for cloud-based healthcare applications, and collaborating with product managers and applied scientists. The position emphasizes working on data processing, analytics, and machine learning systems to improve healthcare outcomes, reduce costs, and enhance care delivery. | Ship | 5 |
| Sr. ABM Manager, Federal Civilian, AWS Industry Marketing This role is for a Sr. ABM Manager for AWS Federal Civilian customers. The primary focus is on leading high-impact marketing programs to drive awareness, engagement, and pipeline growth within named government accounts. The role involves understanding how AWS capabilities, including generative AI, can transform federal agency missions. It requires strategic vision and hands-on execution, working at the intersection of marketing, field sales, and government relations. | — | 5 |
| Sr. Manager, Security Services SA, AWS Security Services SA - North America This role is for a Sr. Manager to build and lead a new team of Security Services Specialist Solutions Architects within AWS Global Sales. The team will focus on driving customer adoption of AWS security services, particularly for generative AI and agentic workloads, by acting as a technical bridge between AWS security services and customer needs. The manager will recruit, develop, and lead the team, partner with sales and product teams, and establish thought leadership. | — | 5 |
| Principal UX Designer, Amazon Customer Service Technology Principal UX Designer for Amazon Customer Service Technology, focusing on designing next-generation AI-powered tools and generative AI solutions to improve customer and associate experiences. This role involves strategic leadership, hands-on design of complex workflows, and partnership with engineering and product teams to drive AI innovation in customer service. | Agent | 5 |
| Senior Product Manager, Technical, Amazon Customer Service The Senior Product Manager, Technical will drive the vision and strategy for deploying AI and LLMs to automatically detect and resolve customer defects across the Amazon shopping journey. This role involves partnering with various teams to launch new products and features that drive large-scale customer impact. | — | 5 |
| ML Data Associate I The ML Data Associate I role at Amazon focuses on performing annotation and data processing tasks for ML data, including audio, image, video, and text. The role involves collecting ground truth data, executing detail-oriented exercises, applying language skills, and meeting daily productivity and quality targets. It also includes performing quality audits, reporting results, adhering to compliance requirements, and testing new ML data tools. | Data | 5 |
| Software Development Engineer, Neuron Foundation Tools Software Development Engineer responsible for developing and maintaining high-performance monitoring and profiling tools for AWS Neuron AI accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Profiler/Tools toolchain, optimizing ML Kernels and Frameworks, and collaborating with compiler and runtime teams to provide insights for customer optimization of AI workloads. | Serve | 5 |
| Senior Sales Specialist, Analytics, ISV Senior Sales Specialist for Analytics at AWS, focusing on driving revenue and customer adoption of AWS analytics and AI/ML services by developing strategic plans, articulating value propositions, and managing the sales process. This role requires deep technical and business acumen, experience engaging with C-suite executives, and building consensus across teams. | — | 5 |