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 1061 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1500 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), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (7), Senior AI Solution Architect (6). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (27%), 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 (972 roles), Canada (56 roles), United Kingdom (49 roles), India (19 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 619 new AI-related roles. That is a -22% change versus the prior 30 days (793 → 619).
| Title | Stage | AI score |
|---|---|---|
| OPM, AI&Automation, Accessories Operations team This role is for an Operations Program Manager (OPM) who will focus on enhancing traditional program management with AI and automation. The individual will champion the adoption of AI tools, act as a liaison between operations and technical teams, identify opportunities for AI/automation, manage the rollout and adoption of new capabilities, and prioritize initiatives. The role requires an understanding of AI/ML concepts and the ability to translate business needs into technical requirements, but not to build models directly. The primary focus is on applying existing AI tools to improve operational efficiency and scalability within an enterprise context. | — | 5 |
| Software Development Engineer-II (SDE 2), WWRR Tech - UTR Software Development Engineer II role focused on building and delivering massively scalable, distributed real-time systems for Amazon's Worldwide Returns & ReCommerce (WW R&R) organization. The team aims to achieve zero cost of returns, zero waste, and zero defects by developing products and driving operational excellence in the circular economy. While the role involves training machine learning models, the primary focus is on software engineering for these systems, not core AI/ML model development or research. |
| — |
| 5 |
| Marketing Manager, Enterprise B2B (Americas) — Amazon Leo, Amazon Leo Marketing Manager for Amazon Leo (satellite internet) focused on enterprise B2B demand generation and Account-Based Marketing (ABM). The role involves creating awareness and leads by leveraging inbound/outbound marketing plays, developing vertical expertise, and partnering with sales teams. A key aspect is designing and deploying AI-powered workflows and using AI agents to scale ABM motions, automate research, and personalize campaigns. | — | 5 |
| Software Development Engineer II, SKG Team Software Development Engineer II on the SKG team within AWS Infrastructure Services, focusing on building intelligent systems to automate data center alarm triage and analysis using generative AI. The role involves integrating with services like Amazon Bedrock for summarization and insight generation, and contributing to an automated triage and ticketing engine. This is an applied engineering role focused on integrating and orchestrating AI services, not building or training models, with a strong emphasis on end-to-end feature ownership, design, deployment, and operation in a production environment. | Agent | 5 |
| Software Development Engineer, Amazon Customer Service Software Development Engineer role focused on building AI-powered solutions for Amazon's Customer Service organization, specifically for contact center systems, routing, and intent detection using Generative AI and Machine Learning. | Agent | 5 |
| Software Dev Engineer II, Amazon Digital Advertising Software Development Engineer II for Amazon Digital Advertising, focusing on building and maintaining ML Ops systems for attribution services and causal inference models. The role involves collaborating with Applied Scientists and Economists to improve model quality and ensure system operational excellence, processing vast amounts of conversion and advertising data daily. | ServePost-train | 5 |
| Research Scientist, Intelligent Talent Acquisition Research Scientist role focused on applying advanced statistical techniques and machine learning to analyze large datasets for optimizing candidate evaluation processes and improving hiring excellence within Amazon's Talent Acquisition operations. The role involves designing large-scale personnel selection research, exploring emerging technologies, and translating complex findings into actionable strategies. | Data | 5 |
| Principal Product Manager Technical, External Services, Amazon Bedrock Product Management Principal Product Manager Technical for Amazon Bedrock, focusing on Generative AI services for developers. This role involves owning production products, driving new projects, managing revenue and adoption, defining product strategy, and launching Go-To-Market plans for large-scale SaaS/PaaS/LaaS offerings. | Ship | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role focuses on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a specific emphasis on governance, risk, and compliance. The Assurance Solutions Architect will advise customers on meeting regulatory requirements and operationalizing the shared responsibility model in the cloud, leveraging expertise in security and compliance frameworks. | — | 5 |
| Software Dev Engineer II, Selling Partner Growth Software Development Engineer II role focused on building and operating innovative products and services for sellers on Amazon, with an emphasis on leveraging GenAI and AI-powered tools to enhance development productivity and integrate AI solutions into products and services. | — | 5 |
| Senior Solutions Architect, ISV Senior Solutions Architect for AWS ISV team, focusing on helping software companies leverage AWS cloud capabilities, including Generative AI, to enhance their offerings and drive customer success. This role involves owning the technical relationship, providing architectural guidance, and developing cloud-native reference architectures. | — | 5 |
| Director of Software Development, Fraud Defense Engineering Director of Software Development for Fraud Defense Engineering at Audible, leading a team to build and scale tools and platforms for fraud detection, prevention, and mitigation. The role also involves providing leadership for Strategic Data Regulation and Technology Resilience initiatives, partnering with data scientists and ML teams to operationalize fraud detection models, and driving the adoption of Generative AI tools in software development workflows. | Ship | 5 |
| Software Development Engineer, CV Test Infrastructure - Annapurna ML Software Development Engineer to build and maintain automated validation infrastructure for custom AI/ML chips. The role involves working on a test management platform, developing automation for emulators, virtual platforms, and silicon prototypes, and enhancing CI/CD pipelines. The goal is to accelerate the development of AI/ML hardware powering AWS services. | — | 5 |
| Software Development Engineer, AWS Central SDE Team This is a Software Development Engineer role within the AWS Central SDE Team, focusing on building and maintaining code for various AWS services, with a specific mention of Artificial Intelligence/Machine Learning and Healthcare AI. The role involves designing, developing, and maintaining software solutions, collaborating with cross-functional teams, and resolving performance bottlenecks. While the core is general SDE work, the inclusion of AI/ML and Healthcare AI as areas of consideration, along with preferred knowledge of ML frameworks and fundamentals, indicates an AI-related function, likely focused on the engineering and serving aspects of AI/ML systems. | Serve | 5 |
| Software Development Engineer, Prime Video Software Development Engineer role focused on building and scaling systems for personalized message generation and content enrichment within Amazon Prime Video's marketing platform, leveraging Generative AI technology to drive customer adoption and engagement. | Ship | 5 |
| UX Researcher II, Global Procurement Technology UX Researcher II role focused on designing and researching AI-driven procurement tools at Amazon scale. The role involves leading end-to-end UX research and design, understanding customer needs through various research methods, and translating insights into intuitive experiences. A significant portion of the role (75%) is dedicated to user research, with the remaining 25% focused on hands-on UX design. The team is driving an AI transformation within procurement, embedding intelligent automation and ML capabilities. | Agent | 5 |
| Technical Customer Solutions Manager Intern - Fall 2026 Internship role focused on developing cloud adoption strategies and business cases for financial institutions, with a specific emphasis on generative AI and agentic AI use cases. The role involves researching AI trends, analyzing customer data, and contributing to internal tools and frameworks to scale the impact of the Customer Solutions Manager team. | — | 5 |
| Solutions Architect - 2026 (US) Solutions Architect role focused on evangelizing AWS services and helping customers build cloud architectures. Involves understanding customer business problems and translating them into technical requirements. Includes a career development program with training and mentoring. | — | 5 |
| Senior Economist, Featured Merchant Algorithm Senior Economist role focused on owning and developing machine learning models for offer selection and customer experience in e-commerce, specifically for Amazon's 'Add to Cart' and pricing display. The role involves blending ML models to rank and select the best offer, influencing customer buying decisions, and working with various stakeholders to drive business impact. Requires a PhD in economics and experience in analytics, applied economics, and building statistical models. | Ship | 5 |
| Senior Product Manager - Tech, Amazon Selection Catalog Systems, Amazon Selection Catalog Systems Product Manager Technical (PMT) to own solutions for product catalog challenges using Generative AI, LLMs, and machine learning algorithms. The role involves influencing technical direction, leading cross-functional programs, and managing trade-offs for AI-driven catalog management systems. | Agent | 5 |
| デリバリーステーション・オペレーションマネージャー Operations Manager for Amazon Logistics (AMZL) in Hiroshima, Japan. Responsible for inbound, outbound, and sortation operations, leading managers and associates. Focuses on improving safety, quality, performance, and customer experience, while also driving operational improvements and implementing new services. The role actively incorporates AI and Generative AI tools to accelerate decision-making and improve efficiency. | — | 5 |
| Software Development Engineer Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals. | Serve | 5 |
| Sr. Software Development Engineer, RBS Tech Senior Software Development Engineer role focused on architecting and leading the development of large-scale distributed systems that leverage machine learning for intelligent automation in Amazon's retail operations. The role involves defining technical strategy, mentoring engineers, and collaborating with ML scientists to implement scalable solutions. | Ship | 5 |
| Sr. Business Development Tech Manager, Amazon Enterprise Creators This role focuses on business development and strategic partnerships within Amazon's Creator ecosystem, aiming to drive adoption of commerce content tools and build new opportunities with Media and Entertainment companies. The role involves managing key accounts, recruiting new partners, and influencing product roadmaps based on partner needs. While the role mentions leveraging generative AI tools for workflow efficiency and identifying opportunities to enhance products with AI, the core responsibilities are in business development, strategy, and partnership management, not direct AI/ML model development or deployment. | — | 5 |
| Startup Investor Manager, (VC or Angel), AWS Worldwide Startups This role focuses on working with venture capital firms and early-stage startups to accelerate their success on AWS, leveraging cloud computing and emerging technologies like generative AI. The manager will identify promising startups, help them leverage AWS infrastructure, and drive initiatives to foster innovation and growth. | — | 5 |
| Sr. Product Manager - Tech, Selling Partner Financial Technology This role is for a Sr. Product Manager - Technical within Amazon's Selling Partner Financial Technology (SPFT) team. The primary focus is on enabling Selling Partners to thrive by providing a financial experience with trust and reliability. The role involves working backwards from a wide customer base to solve complex problems with innovative solutions, collaborating with technical teams and business owners to deliver software, defining product visions and strategies, owning products from ideation to launch, and influencing stakeholders. While the role mentions leveraging generative AI tools and identifying opportunities to integrate AI solutions, the core responsibilities are product management for financial technology services, not direct AI/ML model development or deployment. | — | 5 |
| Sr Worldwide GTM Specialist - GenAI, Amazon Bedrock, Data & AI GTM This role focuses on defining and executing Go-To-Market (GTM) strategies for Amazon Bedrock, a service hosting foundation models. The specialist will work with product managers, model providers, and customers to accelerate adoption, influence product direction, and develop joint GTM plans, engagements, and proof-of-concepts. The role requires a blend of business and technology background, with domain expertise in Generative AI and ML use cases, to articulate the benefits of AWS GenAI services to various audiences. | — | 5 |
| Sr. Technical Program Manager, Sponsored Products and Brands This role is for a Senior Technical Program Manager on the Sponsored Products and Brands team at Amazon Ads, focusing on re-imagining advertising through advanced generative AI technologies and conversational AI experiences. The TPM will lead delivery of initiatives, develop product strategies and roadmaps, and collaborate with engineering, product, and other stakeholders to launch innovative ad experiences. Experience with building and managing AI products at scale is preferred. | Ship | 5 |
| Worldwide Specialist Solutions Architect - Agentic Development, Data & AI GTM This role is for a Specialist Solutions Architect focused on Generative AI (GenAI) Go-to-Market (GTM) strategy within AWS. The individual will act as a Subject Matter Expert (SME) to help customers design and implement GenAI solutions, leveraging AWS services. Responsibilities include understanding customer business problems, delivering technical guidance, creating enablement materials, and gathering customer feedback to influence product roadmaps. The role involves close collaboration with other Solution Architects and Data Scientists to drive adoption of AWS GenAI services and support large-scale customer use cases. | Agent | 5 |
| Software Development Engineer, Customer Experience and Business Trends Software Development Engineer role focused on building and optimizing data collection and analysis platforms for customer experience improvement at Amazon. The role involves leveraging AI/ML methodologies and LLM-driven services to enhance data processing, with a primary focus on data engineering and platform development. | Data | 5 |
| Software Development Engineer, Customer Experience and Business Trends Software Development Engineer role focused on building and optimizing data collection and analysis platforms for customer experience improvement at Amazon. The role involves leveraging AI/ML methodologies and LLM-driven services to enhance data processing, with a primary focus on data engineering and platform development. | Data | 5 |
| Business & Process Improvement Analyst, Amazon Key for Business This role focuses on business and process improvement within Amazon Key's operations, leveraging AI tools to identify automation opportunities and streamline processes. The analyst will also be responsible for business reporting and defining dashboard requirements, working under the guidance of senior team members. The ideal candidate is analytically curious and eager to drive operational improvements. | — | 5 |
| Data Engineer - II, LMAQ-DE This role focuses on building and managing large-scale data integration and delivery services within Amazon's Last Mile Data Engineering Team. The primary responsibility is designing, developing, and maintaining data warehouse and data lake solutions, including ETL pipelines and data models, to support business decision-making, reporting, and machine learning model development. The team also drives innovation using Generative AI for features like natural language querying and workflow automation. | Data | 5 |
| Sr. Solutions Architect , WWPS - HCLS - Life Sciences Solutions Architect for Healthcare & Life Sciences (HCLS) customers on AWS, focusing on designing and implementing cloud architectures that leverage AI/ML and Generative AI to solve industry-specific business challenges. The role involves understanding customer needs, architecting AI-first solutions, guiding cloud migration, and building prototypes. | Agent | 5 |
| Senior Customer Solutions Manager, Global Financial Services Senior Customer Solutions Manager for Global Financial Services at AWS, focusing on accelerating cloud transformation and driving innovation with Generative AI, data analytics, and cloud-native architectures for a leading Tier-1 bank. The role involves understanding customer business objectives, translating them into actionable plans, guiding adoption of AWS services, and identifying high-impact AI/ML use cases, including GenAI, LLMs, RAG, and Agentic AI. | — | 5 |
| Data Scientist I, PXT Central Science Data Scientist role focused on applying statistical, machine learning, or GenAI methodologies to enhance employee experience within Amazon's People Experience and Technology (PXT) organization. The role involves translating business challenges into quantitative frameworks, extracting insights from data, and architecting scalable solutions. | Data | 5 |
| Software Development Engineer, Sponsored Brands Advertising Software Development Engineer on the Sponsored Brands Ad Serving team at Amazon, responsible for designing and developing highly scalable, low-latency, high-TPS distributed systems that serve billions of ad impressions daily. The role involves leveraging LLMs and other state-of-the-art technologies to create personalized ad experiences and solve complex distributed systems challenges. | Serve | 5 |
| Solutions Architect, Solutions Architecture Solutions Architect for AWS focusing on Hi-Tech & Semiconductor accounts, driving adoption of cloud technologies including GenAI and agentic AI. Responsibilities include technical engagement, cloud modernization, architecting solutions for demanding workloads, and accelerating GenAI/agentic AI adoption. Requires customer-facing skills and a technical background in cloud computing and enterprise AI applications. | — | 5 |
| Sr. AI Consultant, Tech & Industry This role focuses on designing, implementing, and managing AI and Generative AI solutions for customers on AWS. The consultant will act as a technical leader, advising on best practices, architecting solutions, and driving customer success with AI workloads. | Agent | 5 |
| Sr. Partner Solutions Architect, ANZ Partner Team This role is for a Senior Partner Solutions Architect at Amazon Web Services (AWS) in ANZ. The primary focus is on building technical relationships with strategic partners, advising them on cloud and AI adoption, designing scalable solutions on AWS, and driving the adoption of AWS services. The role involves technical leadership, influencing architectural decisions, and contributing thought leadership through various channels. While AI is mentioned as a domain of expertise, the core function is enabling partners to leverage AWS services, not directly building or shipping AI models. | — | 5 |
| Snr Startup Investor Manager, AWS Worldwide Startups This role focuses on identifying and working with early-stage startups and venture capital firms to accelerate their success on AWS. The Senior Startup Investment Manager will leverage deep technical understanding of cloud and emerging technologies, including generative AI, combined with business acumen to help startups build world-changing products on AWS infrastructure. | — | 5 |
| Senior Solutions Architect – AWS WWPS Partner Team (Defense & Maritime), WWPS N/R SI Solution Architects Senior Solutions Architect for AWS WWPS Partner Team focusing on Defense & Maritime. The role involves helping partners implement cloud computing solutions, specifically leveraging AWS services like IoT, HPC, and AI/ML for a high-growth autonomous maritime defense partner. Responsibilities include owning technical engagements, defining architectures across compute, data, ML, and operational tooling, responding to RFPs, and acting as a subject matter expert on security. The role requires operating independently, communicating with technical and executive stakeholders, and driving architectural decisions across complex, multi-domain engagements. Requires US citizenship and may involve up to 30% travel. | — | 5 |
| Program Manager II, Customer Trust External Relations Program Manager II for Amazon's Customer Trust External Relations team, focusing on quality assurance and audit programs for AI-powered workflows. The role involves driving sprint planning, change management, and operational mechanisms to ensure the accuracy and reliability of AI systems. Requires experience in program management, process improvement, and working with data/analytics teams, with a practical adoption of generative AI tools. | — | 5 |
| Software Development Engineer, AWS Identity Software Development Engineer on the AWS Identity team, focusing on IAM Access Analyzer. The role involves building and operating the identity, authentication, and authorization stack for AWS, specifically using automated reasoning and machine learning to recommend access controls and deliver solutions to AWS customers at a global scale. Responsibilities include designing, implementing, and deploying systems, defining solutions for data processing and ML, and developing customer-facing capabilities. | Agent | 5 |
| Security Engineer, SDO AppSec This role is for a Security Engineer focused on application security within Amazon's Security organization. The primary responsibilities include security reviews, secure architecture design, threat modeling, and security training. A key aspect of the role involves automating and enhancing security review processes using AI agents, LLMs, and generative AI tooling. The role requires a Bachelor's degree, knowledge of networking protocols, programming experience in languages like Python or Go, and experience with threat modeling or application security frameworks. Experience with AWS products and services is preferred. | — | 5 |
| Senior Software Development Engineer, Asia Technology Center (ATC) Software Team Senior Software Development Engineer to lead the design and development of an AWS cloud-based Requirements Management Software. The role involves leveraging AI technologies for intelligent features like automated requirement analysis and smart traceability, and acting as a technical lead for a team of engineers. | Agent | 5 |
| Sr. Technical Account Manager, National Security - ES US-ADC This role is for a Sr. Technical Account Manager (TAM) within AWS Enterprise Support, focusing on National Security customers. The TAM will act as a strategic technical advisor, helping customers adopt and utilize AWS services, including Generative AI and Machine Learning, to achieve their business and operational goals. The role requires deep technical expertise in distributed systems and cloud environments, strong customer-facing skills, and the ability to manage relationships with senior leadership. It is not a sales role but focuses on technical advocacy and strategic guidance. | — | 5 |
| Sr Technical Program Manager, Global Procurement Technology This role is for a Senior Technical Program Manager within Amazon's Global Procurement Organization, focused on leading the delivery of technical solutions and programs for inventory management of non-inventory supplies. The role involves driving complex, cross-functional programs, collaborating with business and technology teams, participating in architecture discussions leveraging AWS services, and championing the use of AI/ML tools to automate workflows and transform procurement technology. The ideal candidate has experience with AWS, cloud-native architectures, and applying AI/ML to operational problems. | Ship | 5 |
| Sr. Analytics Specialist Solutions Architect, AGS US Specialist SA This role is for a Sr. Analytics Specialist Solutions Architect at AWS, focusing on helping customers leverage AWS analytics services to solve complex business problems. The role involves deep technical expertise in analytics domains, collaborating with sales and product teams, and acting as a trusted advisor to business leaders. While the company uses AI, this role is primarily focused on analytics infrastructure and solutions, not direct AI/ML model development. | — | 5 |
| Software Dev Engineer II, Amazon Connect Talent Software Development Engineer II role within AWS Applied AI Solutions, focusing on building a new AI-powered solution called Amazon Connect Talent. The role involves contributing to the development of AI systems, balancing innovation with reliability and compliance, and working across the full stack to deliver features that simplify talent operations for customers. | Ship | 5 |