Amazon currently has 1520 active AI-related job listings. The majority of these roles, 41%, are focused on agents, with application-related positions making up another 26%. Engineering is the dominant function, accounting for 1207 of the listings. The company has seen a 20% decrease in new AI roles over the last 30 days, with 636 new positions posted compared to 798 in the preceding 30-day period.
Currently tracking 1072 active AI roles, with 1266 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1520 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 (7). 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 (983 roles), Canada (56 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 613 new AI-related roles. That is a -23% change versus the prior 30 days (793 → 613).
| Title | Stage | AI score |
|---|---|---|
| Technical Program Manager II, WHS Data-Tech Technical Program Manager II for Amazon's Workplace Health and Safety (WHS) Data-Tech team. This role leads cross-organizational workstreams for data and technology initiatives, partnering with product, data engineering, software development, and data science teams. Responsibilities include driving strategy implementation, assessing risks, balancing business needs with technical constraints, and transforming technical concepts into documentation. The role coordinates across domains like data pipelines, analytics, generative AI, computer vision, and web/mobile technologies, aiming to reduce workplace risks and injuries. | — | 5 |
| Solutions Architect, Solutions Architecture, UK Solutions Architect for AWS in the UK, focusing on the Travel and Hospitality industry. This role involves working with customers to understand their needs, provide technical guidance on AWS technologies, drive innovation, and manage the technical relationship. The Solutions Architect will also act as the voice of the customer internally and create technical content and reference architectures, including for AI/ML use cases. |
| — |
| 5 |
| Sr. Technical Account Manager , AWS Enterprise Support, Strategic Industries, Healthcare & Life Sciences, ES - SI - HCLS This role is for a Senior Technical Account Manager (TAM) at AWS Enterprise Support, focusing on Healthcare and Life Sciences (HCLS) customers. The TAM will act as a trusted advisor, helping organizations leverage cloud and Generative AI for drug discovery, clinical operations, and patient outcomes. Responsibilities include crafting strategic support plans, guiding customers on AI/Gen AI adoption using AWS services like Bedrock and SageMaker, navigating regulated environments (HIPAA, GxP), and providing technical guidance. The role requires influencing technical decision-makers and managing complex, mission-critical workloads. | — | 5 |
| Customer Success Manager (Transformation Advisor), Independent Software Vendor (ISV) This role is for a Customer Success Manager at AWS, focusing on helping Independent Software Vendors (ISVs) transform their businesses using cloud and AI technologies. The CSM will guide customers through adoption, migration, and achieving business outcomes by connecting them with AWS expertise and programs. The role requires understanding cloud and AI concepts to advise clients on strategy, governance, and adoption of generative AI and agentic capabilities. | — | 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 |
| Business Analyst, AMZL ACES , Amazon Logistics, ACES This role focuses on leveraging BI tools and AI technology to build an analytical foundation for optimizing last-mile operations. The Business Analyst will apply statistical knowledge, analyze data-driven processes, and provide insights for continuous improvement and operational excellence. Key responsibilities include designing data analysis projects, developing dashboards, conducting various statistical analyses, and automating processes with AI/ML tools. | — | 5 |
| Sr Product Manager - Technical Products, Pay by Invoice This role is for a Senior Product Manager, Technical Products, focusing on Pay by Invoice within Amazon's fintech division. The core responsibility is to lead the development of agentic AI solutions to automate financial processes and improve invoice payments for B2B customers. The role involves defining product requirements, partnering with engineering on scaling architecture, driving cross-functional alignment, and creating new business ideas in the fintech space. | Agent | 5 |
| Support Engineer, IN Amazon Pay Support Engineer role focused on integrating Generative AI and Agentic systems into daily workflows to enhance designs and improve builder productivity. The role involves end-to-end development, technical guidance, and problem resolution within Amazon Pay. | Agent | 5 |
| Software Dev Engineer Intern, (Manufacturing&Ops) 2026 Shanghai Software Development Engineer Intern focused on building AI-based automation technology operations platforms, requiring design and development of scalable systems and collaboration with engineering teams. Basic qualifications include CS fundamentals and understanding of AI/ML algorithms, with preferred qualifications in GenAI, LLMs, and Agentic AI systems. | Agent | 5 |
| Software Dev Engineer Intern, (Sustaining Operations) 2026 Shanghai Software Development Engineer Intern role focused on building AI-based automation technology operations platforms. Responsibilities include designing and developing scalable user interfaces, data structures, and algorithms, with a need to understand basic AI/ML algorithms. Requires collaboration with engineering teams for feature implementation and deployment. | Serve | 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 |
| Group Manager, CXQO, Just Walk Out Technology Group Manager for Just Walk Out Technology, focusing on people and site management within Amazon's Applied AI Solutions organization. The role involves leading a team of managers, ensuring operational efficiency, and driving process improvements for a customer-facing AI product. | — | 5 |
| Sr. Product Manager, US Prime, Amazon Prime Senior Product Manager for Amazon Prime US, focusing on driving membership acquisition strategies. This role involves defining product roadmaps, partnering with research teams for customer insights, measuring performance, and collaborating with marketing and other internal teams. While the role mentions using generative AI tools for workflow efficiency and exploring their potential to enhance products, it is not core to the role's responsibilities. | — | 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 |
| Ontologist II - AMZ20452.4 This role focuses on building and maintaining scalable data pipelines, designing and implementing ontology structures, and enabling query grounding on knowledge graph systems. It involves using ETL software, programming languages, and LLMs for data cleaning, manipulation, and mapping. The role also includes analyzing pipeline performance, creating documentation, and performing quality assurance and root cause analysis on issues. | DataAgent | 5 |
| Principal TPM, Alexa This role is for a Principal TPM at Amazon, focusing on leading initiatives related to Agentic AI and next-generation intelligent experiences for Alexa. The TPM will drive the development and integration of Generative, Agentic, and Real-time AI technologies, collaborating with cross-functional teams to deliver seamless user experiences. While the role involves working with advanced AI, the core responsibilities are program management, roadmap prioritization, and process improvement, rather than direct AI/ML model development or research. | — | 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 |
| Software Dev Engineer, Amazon Brand Store, Amazon Brand Stores Software Development Engineer role focused on building new personalization and optimization capabilities for Amazon's Brand Stores using generative AI and machine learning. The role involves partnering with product, design, and science teams to create customer-facing products that enhance the shopping experience and connect brands with shoppers. | Ship | 5 |
| Senior Solutions Architect, ISV Canada Senior Solutions Architect at AWS focusing on helping Independent Software Vendors (ISVs) in Canada adopt AWS cloud services. The role involves acting as a technical leader and strategic advisor, designing end-to-end architectures, and influencing long-term technology strategy. While the role requires deep technical expertise across multiple domains including AI/ML, generative AI, agentic applications, MLOps, and RAG (preferred qualifications), its primary function is to architect and drive the adoption of cloud solutions for customers, rather than directly building or researching AI models themselves. The role supports customers in shipping AI-powered products. | — | 5 |
| Senior Solutions Developer, Prototyping and Customer Engineering (PACE) The Senior Solutions Developer, Prototyping and Customer Engineering (PACE) role at Amazon Web Services (AWS) focuses on building prototypes and early-stage solutions for enterprise customers, primarily leveraging Generative AI. The role requires a strong technical background in cloud architectures and emerging technologies, with an emphasis on hands-on development, customer engagement, and problem-solving in ambiguous situations. The developer will work in small teams to rapidly iterate on solutions addressing specific customer use cases, often exploring new technical grounds. | Agent | 5 |
| 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 Product Manager - Tech, Alexa Ads The Principal Product Manager-Technical will lead monetization initiatives for Alexa Ads, defining product strategy, driving cross-organizational execution, shaping advertiser experience, and driving business impact. The role involves partnering with engineering to evaluate ad tech capabilities, including generative AI applications, and understanding ad serving architectures. This is a product role within the consumer domain, focused on shipping an AI-enabled product (Alexa Ads). | — | 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 |
| データーアソシエイト（契約社員 - 韓国語スピーカー）, AGI Data Services The role involves data annotation and evaluation for AI development, focusing on Korean language data including text, voice, images, and videos. Responsibilities include generating high-quality human judgment data, monitoring harmful content from generative AI, ensuring data privacy and security, and contributing to quality control and improvement by identifying error patterns and proposing solutions. The role also includes translation of guidelines and supporting AI development with appropriate decision-making. | Data | 5 |
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on building measurement and experimentation frameworks for lifecycle marketing campaigns within Amazon's EU Prime and Marketing Analytics & Science (PRIMAS) team. The scientist will design and execute experiments to measure campaign effectiveness, establish experimental standards, and apply causal inference methods to guide marketing strategy and investment decisions. The role involves working with various marketing channels and platforms, analyzing results, and providing optimization recommendations. | Ship | 5 |
| Gerente de Contas em Startups This role is for an Account Manager at Amazon Web Services (AWS) focused on startups. The primary responsibility is to drive revenue and market share by engaging with startup clients, understanding their unique needs, and helping them leverage AWS technologies, including AI and ML, to innovate. The role involves creating value propositions, building long-term strategic relationships, and working with internal AWS teams to execute go-to-market strategies. | — | 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 |
| Data Scientist III - AMZ9674045 Data Scientist III role focused on owning data science elements for products, including data-based decision making, product performance optimization, and tracking. Responsibilities include translating business problems into data requirements, designing and implementing scientific analysis projects, and developing data science solutions. Requires experience in building statistical and machine learning models, complex data analysis with scripting languages, and communication with stakeholders. | Data | 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 |
| 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 audit teams, execute complex audits, and provide analysis and insights for optimization. It requires experience with ML data workflows and leadership. | Data | 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 |
| Sr. Specialist Sales Rep , ISV GenAI/ML This role is a Senior Specialist Sales Representative for Independent Software Vendors (ISVs) focusing on Generative AI and Machine Learning within Amazon Web Services (AWS). The primary responsibility is to drive adoption and revenue growth of AWS's Generative AI services by identifying customer opportunities, understanding their needs, and positioning AWS solutions. The role involves consultative selling, building trust with various customer personas (Line of Business, Data Science, IT), and developing sales strategies. While the role is deeply involved with AI/ML services, the core function is sales and business development, not direct AI/ML model development or research. | — | 5 |
| Data Scientist III - AMZ9706811 Data Scientist III role focused on owning data science elements for products, including data-based decision making, product performance optimization, and tracking. Responsibilities include translating business problems into data requirements, designing and implementing analysis projects, owning analysis, modeling, and system design, and communicating results. Requires experience building statistical and machine learning models, performing complex data analyses with scripting languages, and communicating with stakeholders. | Data | 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 |
| Software Development Manager, AWS SageMaker Unified Studio Software Development Manager for AWS SageMaker Unified Studio, an AI-assisted development environment for Data Engineers, Data Scientists, SQL Analysts, and IT Administrators. The role involves leading a software development team to design, implement, test, and deploy innovative solutions at the intersection of Big Data, analytics, warehousing, and machine learning, while mentoring engineers and influencing technical strategy. | — | 5 |
| Principal UX Designer, Fire TV and Tablet UX Design This role is for a Principal UX Designer focused on integrating AI capabilities, specifically Alexa's agentic features, into consumer products like Fire TV and tablets. The designer will be responsible for vision setting, cross-endpoint design, systems and visual design, strategic partnerships, and hands-on execution to create seamless and enhanced user experiences across Amazon's ecosystem. While AI is mentioned as a key component, the core craft is product design, not AI/ML model development. | — | 5 |
| Sr. Data Scientist, Prime Video Senior Data Scientist role focused on building and guiding data-driven frameworks for personalization and content discovery in Prime Video, influencing customer experience through advanced statistical and machine learning techniques. | Ship | 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 |
| Sr. Software Development Engineer, Support Engineering Tech Senior Software Development Engineer role within AWS Specialist and Partner Organization focused on building end-to-end self-service solutions for customers to resolve issues independently, thereby deflecting manual work from support engineering teams. The role actively leverages AI-powered development tools, including generative AI and LLM-based code generation, to accelerate delivery and improve code quality. Responsibilities include architecting, designing, and implementing scalable distributed systems, mentoring junior engineers, and driving architectural decisions. The team embraces AI-first development practices to innovate and improve engineering quality. | Ship | 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 |
| Expert Consultant- Software Engineer, AGI - Data Services This role focuses on overseeing and optimizing human-in-the-loop and model-in-the-loop data pipelines for AI solutions, ensuring data quality and providing mentorship. It involves collaborating with AI teams on data collection for LLM training and evaluating AI systems. | Data | 5 |
| Expert Consultant- Software Engineer, AGI - Data Services This role focuses on ensuring data quality and strategic oversight for human-in-the-loop and model-in-the-loop data pipelines that support LLM training. The consultant will provide domain expertise, mentorship, and collaborate with AI teams to optimize data collection and evaluation processes. | Data | 5 |
| Senior Product Manager - Pricing, Amazon Global Logistics Senior Product Manager for Amazon Global Logistics, focusing on developing sophisticated pricing strategies and revenue management systems. The role involves leading product strategy, designing pricing mechanisms, partnering with data science teams on ML models and optimization algorithms, and driving cross-functional initiatives to deliver end-to-end pricing solutions. The goal is to establish AGL as a leading global freight provider by building pricing systems from the ground up. | — | 5 |
| Software Dev Engineer II, Technical Content Experience (TCX) Engineering Software Development Engineer II role focused on building AI-powered components for technical documentation experiences within AWS. The role involves designing, developing, and deploying scalable and maintainable solutions, with a strong emphasis on customer needs and engineering best practices. Experience with ML/LLM fundamentals is preferred. | Ship | 5 |
