Currently tracking 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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.
Amazon currently has 1575 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 (1022 roles), Canada (59 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 683 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Support Engineer, Region Services Support Engineer role focused on Linux systems within AWS Region Services, involving troubleshooting, customer interaction, service improvement feedback, and using internal AI systems for problem-solving. The role emphasizes operational excellence and security within sensitive Australian government workloads. | — | 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 |
| — |
| 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 |
| Enterprise Solutions Architect Solutions Architect for AWS in Copenhagen, empowering enterprises with cloud technologies. Focuses on building technical relationships, advising on cloud value, security, cost, performance, and operational efficiency. Acts as a customer voice for product roadmap, creates reference architectures, and evangelizes AWS technology through content and speaking engagements. Requires experience with Generative AI and cloud architecture. | — | 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 |
| Data Scientist, Private Brand Analytics Data Scientist on the Core Tech Private Brands Analytics team, responsible for building and improving forecasting and planning models for Amazon Private Brands. This involves end-to-end pipeline development, replacing manual processes with code-driven solutions, and evaluating model accuracy. The role partners with business, science, and tech stakeholders and contributes to the organization's AI framework and experimentation rigor. | Data | 5 |
| Software Development Engineer, Ring Software Development Engineer role focused on building next-generation embedded systems for home security, with a significant emphasis on leveraging and developing AI agents and Generative AI tools to revolutionize software development workflows. The role involves working with AI-powered development tools and contributing to AI-driven development practices within a consumer product context. | Agent | 5 |
| Software Development Engineer, Ring Software Development Engineer role focused on building next-generation embedded systems for home security, with a significant emphasis on leveraging and developing AI agents and Generative AI tools to revolutionize software development workflows. The role involves working with AI-powered development tools and contributing to AI-driven development practices within a consumer product context. | Agent | 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 Startup Account Manager - Engaged, ASEAN Startups This role is for a Senior Startup Account Manager at AWS, focusing on driving growth and adoption of AWS services among well-funded startups in ASEAN. The candidate will work with technical teams and stakeholders to develop go-to-market strategies, accelerate adoption, and ensure customer success. While the role involves discussing technologies like generative AI and machine learning, the core responsibility is sales and account management, not building or researching AI models. | — | 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 |
| Snr TPM - Workforce Planning, Workforce Planning (WFP) The Senior Technical Program Manager will drive the delivery of an enterprise-wide workforce planning platform that replaces offline, spreadsheet-based planning with integrated, AI-powered experiences. This role will leverage machine learning and agentic AI to provide data-driven workforce decisions at Amazon scale, integrating with Finance systems. The platform is launching across major business units and will be the system of record for workforce planning. The role involves managing cross-functional dependencies, leading launch readiness, tracking risks, communicating with senior leadership, and partnering with Product and Science teams. | Agent | 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 |
| ProServe Cloud Architect, Professional Services This role is for a ProServe Cloud Architect at Amazon Web Services (AWS) who will design and implement cloud solutions for customers, focusing on achieving business outcomes. While the role involves working with AI/ML solutions and understanding related technologies, its core function is cloud architecture and customer consulting, not direct AI/ML model development or research. | — | 5 |
| Senior Product Manager, Retail Business Services The Senior Product Manager will lead the product development of a new internal AI platform focused on defect elimination in Amazon's retail business. This role involves managing the full development lifecycle, from requirements and roadmap to stakeholder alignment and launch, in partnership with engineering and product leadership. The platform leverages Machine/Deep Learning and human-in-the-loop mechanisms to scale complex task execution and improve retail operations. | Ship | 5 |
| Senior Solutions Architect, Public Sector - Israel This role is for a Senior Solutions Architect in AWS Global Sales, focusing on the Public Sector in Israel. The primary responsibility is to build technical relationships with customers, acting as a trusted advisor to help them adopt and maximize the AWS cloud. This involves making recommendations on various aspects of cloud architecture, informing the AWS roadmap with customer needs, and creating/sharing best practices and reference architectures. While Generative AI is mentioned as a preferred technical domain, the core function is broader cloud solutions architecture and customer enablement, not direct AI/ML model development. | — | 5 |
| Senior Solutions Architect, Solutions Architecture This role focuses on helping enterprise customers adopt and implement GenAI and agentic AI solutions on the AWS platform. The Solutions Architect will own technical engagements, drive customer success, and provide consultative guidance on cloud infrastructure and application architectures, with a strong emphasis on GenAI and migration strategies. | — | 5 |
| Product Manager Technical - Business Data Technologies, Business Data Technologies Product Manager Technical for Amazon's AI-powered Data Intelligence Agent and Search platforms, enabling employees to access data using natural language. The role focuses on product strategy, defining user experience for conversational AI, and driving adoption across diverse business contexts. | Agent | 5 |
| Robotics Software Engineer, Amazon Robotics R&D Robotics Software Engineer role focused on designing, building, and launching end-to-end robotic systems and applications within Amazon's fulfillment centers. This role involves all phases of development, from concept to production, and requires collaboration with applied scientists and other engineering teams. Basic qualifications include background in Computer Vision, Machine Learning, or Robotics, and experience with modern programming languages and software engineering best practices. | Ship | 5 |
| Sr. GenAI/ML Sales Specialist SOLA This role is for a Sr. GenAI/ML Sales Specialist at Amazon AWS, focusing on driving sales and adoption of AI/ML services in the SOLA region. The specialist will be responsible for pipeline creation, revenue growth, identifying customer challenges solvable by AI/ML, and collaborating with internal teams to close opportunities. The role requires consultative sales experience, a strong understanding of the AI/ML technology stack, and the ability to translate technical capabilities into business value. | — | 5 |
| Product Manager Technical, Payments International Expansion Product Manager Technical for Amazon Payments International Expansion, focusing on launching local payment methods (LPMs) globally. The role involves defining product strategy, driving cross-functional alignment, assessing market opportunities, and ensuring successful product delivery. It emphasizes using AI tools and data insights to enhance customer payment experiences and operational efficiency within the fintech domain. | — | 5 |
| Program Manager, Central Operation Program Manager for Amazon's Central Operations team within Last Mile Logistics, focusing on improving processes and technology for last-mile delivery operations. The role involves defining programs, analyzing data, identifying risks, and collaborating with various teams to enhance system capability and reliability. While the company utilizes AI/GenAI tools, this role is not directly building or researching AI models. | — | 5 |
| Software Development Manager, Payables Tech Experienced Software Development Manager to lead a team building the next generation of distributed, scalable financial systems, with a focus on driving adoption of agentic AI and LLMs and influencing automation strategy. | Agent | 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 |
| Director, Technology APJC , AGS Technology Director of Technology for AWS APJC region, responsible for technical leadership in cloud and generative AI adoption, customer engagement, and leading a team of Solutions Architects. Focuses on shaping go-to-market strategy, driving digital transformation, and connecting technical solutions to business outcomes. | — | 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 |
| Principal Product Mgr. - Tech, Programmatic Reporting, Measurement, Ad Tech, and Data Science (MADS) The Principal Product Manager - Technical will lead the development of high-scale programmatic reporting solutions for Amazon Ads. This role focuses on enabling advertisers to measure, analyze, and optimize their campaigns by delivering data programmatically, which in turn powers AI agents, ML models, and analytics engines. The position involves defining strategy, roadmap, and technical solutions, collaborating with engineering and other teams, and ensuring data quality and consistency. The role also includes incubating next-generation interfaces, including GenAI-powered reporting. | — | 5 |
| Senior Solution Architect, New Zealand Enterprise This role is for a Senior Solutions Architect at AWS in New Zealand, focusing on helping enterprise customers adopt and leverage Agentic AI and cloud technologies. The role involves advising customers on best-practice architectures, driving technical discussions, scoping engagements, and acting as a thought leader through content creation and community engagement. While the role involves understanding and recommending AI solutions, the core responsibility is architectural design and customer advisory, not direct AI model development or deployment. | — | 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 |
| Software Development Engineer - Test II, Alexa Endpoint Experiences Software Development Engineer in Test (SDET) to join the Alexa Endpoint Experiences team. The role involves leveraging AI tools and modern automation frameworks to transform testing infrastructure, migrating manual test cases to automated solutions and building robust, multi-stage pipelines. Key responsibilities include designing and implementing AI-powered frameworks, using generative AI for test case acceleration, architecting automated CI/CD pipelines, and focusing on functional, UI consistency, performance, and visual regression testing. | Agent | 5 |
| Software Dev Engineer II, Creative X Software Development Engineer II role at Amazon Advertising focusing on building scalable services and ML-powered software solutions for advertisers. The role involves full-stack development, leveraging big data technologies, and collaborating with research scientists and product managers to design and implement AI/ML-driven features. | Ship | 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 |
| Sr. Product Manager, Selection, JP FBA This role is for a Sr. Product Manager focused on selection growth for Amazon Japan's Third-Party Seller business. The primary responsibility is to drive the expansion and improve the quality and discoverability of product selection by working with customers and selling partners, collaborating with technical and business stakeholders, and leveraging GenAI for efficiency. The role involves owning key metrics, developing strategy and roadmaps, executing plans, analyzing data, and managing trade-offs to onboard new products at scale. | — | 5 |
| Data Solutions Lead, Data Collection Excellence This role is a Data Solutions Lead within Amazon's AGI-DS team, focusing on ML/Generative AI data collection. The lead will act as a trusted advisor to scientists, providing expert consultation on data collection, managing customer relationships, and driving business value through technical advisory. Responsibilities include translating research goals into data collection requirements, managing workflows, ensuring data quality, and influencing technical documentation. The role requires strong customer communication, ML data operations experience, and an understanding of data annotation and ML workflows. | Data | 5 |
| Data Solutions Lead, Data Collection Excellence This role is a Data Solutions Lead within Amazon's AGI-DS organization, focusing on providing expert consultation for ML/Generative AI data collection. The lead will act as a trusted advisor to scientists, managing customer relationships, driving business value through technical advisory, and ensuring customer satisfaction by creating and managing workflows for data collection. Key responsibilities include translating complex research goals into data collection requirements, documenting solutions, coordinating across teams, building relationships with customer scientists, consulting on ML workflow capabilities, and monitoring/optimizing data collection metrics. The role also involves guiding customers on workflow feasibility and best practices, defining technical requirements with implementation teams, and evaluating annotation scenarios for scalability. | — | 5 |
| Software Development Engineer II, FinTech Software Development Engineer II for the FinTech Lyra (Liquidity, Risk and Applied AI) team. The role involves designing, developing, and owning scalable distributed systems for critical financial workflows, including risk engines. Collaboration with ML scientists, data scientists, and other stakeholders is key to translating business requirements into technical solutions. The team focuses on managing and optimizing liquidity needs and risk exposure, ensuring controllership and compliance. | Agent | 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 |
| Data Scientist, Amazon Leo Global Planning, Amazon Leo This role focuses on building and deploying machine learning models for global demand forecasting in the context of Amazon Leo's satellite broadband initiative. The Data Scientist will integrate data from various sources, develop bandwidth usage models, and ensure seamless integration with capacity planning systems. They will also contribute to the technical roadmap and evaluate AI systems, with a focus on assessing GenAI model performance. | Data | 5 |
| Quality Auditor - German, AGI Data Services - Ground Truth Quality This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics. | Data | 5 |
| Quality Auditor - German, AGI Data Services - Ground Truth Quality This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics. | Data | 5 |