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 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 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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Data Scientist II - AMZ26888.1 Data Scientist II role focused on designing and implementing scalable data science approaches, acquiring and analyzing data, and building statistical and machine learning models using large datasets. The role involves SQL/ETL, data validation, and implementing models with considerations for computational demands and reliability. | Data | 5 |
| Principal Product Manager-Tech, NAS Fitness and Fandom The Principal Product Manager-Tech will lead product strategy for the Licensed Sports fan CX vision, shaping disruptive strategies to deliver game-changing experiences for fans worldwide. This role involves defining scalable solutions for fan-first browse, discovery, and personalization powered by Sports Profiles, event-driven CX, and AI/ML-powered content strategies. The PMT will own product strategy for automated content engines powered by LLMs and generative image models, especially around tentpole sporting events. | Ship | 5 |
| Principal Technical Program Manager, Sponsored Products and Brands Principal Technical Program Manager for Amazon Ads' Sponsored Products and Brands team, focusing on leveraging generative AI to improve advertising experiences and drive monetization across multiple business verticals. The role involves strategic roadmap shaping, cross-org execution, mechanism scaling, and technical design review, with an emphasis on program growth and revenue impact. | — | 5 |
| Principal Technical Program Manager , Annapurna ML The role is for a Principal Technical Program Manager on the Annapurna ML, Neuron team at Amazon. This team delivers software for Machine Learning Accelerated EC2 instances, focusing on compilers, drivers, runtime, and integrated PyTorch/TensorFlow stacks for distributed training and inference. The TPM will own the capacity request lifecycle, coordinate across teams, establish dashboards and metrics, and manage large projects from intake to delivery. Responsibilities include collecting requirements, writing specifications, driving schedules, managing launches, and leading cross-functional design/implementation efforts. The ideal candidate has a strong technical and program management background, experience leading complex projects, and a well-rounded technical understanding of current ML technologies and related infrastructure. | — | 5 |
| Risk Mining Analyst II, Account Integrity This role focuses on analyzing data to detect anomalies and prevent fraudulent activity on Amazon's platform. It involves designing and building software systems, analyzing customer trends, deploying rules, and creating reporting and dashboards. While the team uses machine learning and AI tools, the analyst role itself is primarily focused on data analysis, rule-based systems, and operational support rather than core AI/ML model development. | — | 5 |
| Solutions Architect, Solutions Architecture Solutions Architect for AWS focusing on hi-tech and semiconductor clients, driving adoption of cloud technologies including GenAI and agentic AI. Responsibilities include cloud modernization, optimizing workloads, architecting solutions for engineering tasks, and accelerating customer outcomes with AI/ML. | — | 5 |
| Technical Program Manager III (TPM), Amazon Connect Decisions Technical Program Manager to join a team building enterprise applications leveraging GenAI/Agentic AI for supply chain optimization within AWS Applied AI Solutions. The role involves defining and driving technical programs across multiple engineering teams, partnering with product management, and influencing strategy and outcomes. | Agent | 5 |
| Security Engineer II, AWS Cloud Security Response Security Engineer II for AWS Cloud Security Response team. This role involves investigating and resolving security issues across AWS services, building automation for incident response, and driving proactive solutions. The role emphasizes hands-on code work, security judgment, and leveraging AI-augmented workflows to accelerate security tasks. | Agent | 5 |
| Manager, Customer Solutions Management , AWS Nonprofits This role manages a team of Customer Solutions Managers (CSMs) focused on accelerating AI adoption within nonprofit organizations. The manager will guide their team in helping nonprofits leverage generative AI and agentic AI for autonomous workflows, AI-powered program delivery, and intelligent automation. The role requires technical credibility to shape customer journeys and team skills, focusing on driving the adoption of AI solutions to amplify nonprofit missions. | — | 5 |
| Customer Solutions Manager, AWS Global Nonprofit Business This role focuses on guiding nonprofit organizations through their cloud adoption and AI transformation journey, helping them leverage AWS services to achieve their missions. The Customer Solutions Manager (CSM) acts as a trusted advisor, developing roadmaps, identifying opportunities for AI and modernization, and enabling customers for responsible AI adoption. The role involves coordinating across internal AWS teams and customer stakeholders to drive measurable business outcomes, with a strong emphasis on deploying agentic AI workflows and generative AI solutions. | — | 5 |
| Sr. Product Marketing Manager, Tech, AWS Marketing, Amazon Product Marketing Manager for AWS contact center solutions, focusing on go-to-market strategy and content creation for AI/ML-powered products serving millions of customers. | — | 5 |
| Software Development Engineer II, Sponsored Products and Brands Software Development Engineer II for Amazon Ads Sponsored Products and Brands, focusing on leveraging generative AI to enhance advertising experiences, product discovery, and customer engagement. The role involves full software development lifecycle, collaboration with data scientists, and applying state-of-the-art technology to solve complex challenges in the advertising landscape. | Ship | 5 |
| Sr. Delivery Consultant Modernization, WWPS ProServe US-FedCiv This role focuses on designing and implementing AWS solutions, with a specific emphasis on supply chain modernization. It involves developing AI/ML models for demand forecasting and inventory optimization, architecting data pipelines, and advising on risk management strategies using predictive analytics. The role requires strong AWS expertise and consulting skills to guide customers through their cloud journey and digital transformation initiatives. | Data | 5 |
| Solutions Architect III, Financial Services (FSI) - US Insurance Solutions Architect for AWS Financial Services, focusing on designing and implementing cloud solutions, including generative and agentic AI, for regulated financial institutions. The role requires deep technical expertise, understanding of complex compliance requirements (SOX, PCI-DSS), and acting as a trusted advisor to customer executives. | Agent | 5 |
| Healthcare Solutions Architect, India-PS Solutions Architect for AWS India, focusing on enabling Indian industries, particularly healthcare organizations, to build innovative services using AWS. The role involves owning technical engagements, developing deep expertise in AWS technologies, and architecting scalable IT systems. The candidate will advise on various technologies including Generative AI, AI/ML, data, analytics, compute, containers, and serverless, and will be responsible for architecture, design, and demonstrating technologies. | — | 5 |
| Software Development Engineer, CAM Software Development Engineer role focused on building and scaling automation solutions using Machine/Deep Learning and LLMs for Amazon's Retail Business Services. The role involves designing, developing, and deploying robust engineering platforms to solve high-impact business problems, with a focus on retail automation and customer experience. | Ship | 5 |
| Software Dev Engineer II, Alexa Speech Middleware Software Development Engineer II role focused on building consumer-facing AI-powered applications (Alexa devices) that integrate voice and multi-modal services. The role involves leveraging Gen AI tools throughout the SDLC and driving engineering best practices. While the role uses AI tools and integrates AI services, it is not primarily focused on building core AI models or research. | Ship | 5 |
| Sr. Specialist, GenAI, Frontier Models GTM This role focuses on Go-to-Market (GTM) strategies for AWS's GenAI Training and Inference services, aiming to accelerate customer adoption of foundation models and related AWS services. The responsibilities include understanding customer ML infrastructure needs, developing GTM plans, evangelism, creating demos, and working with product teams to shape product vision. The role requires a blend of business and technology expertise, with a focus on scaling GenAI workloads on AWS. | — | 5 |
| Principal Worldwide GTM Specialist - GenAI, 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, customers, and model providers 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, and the ability to articulate the benefits of GenAI services to technical and executive audiences. | — | 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 to influence product direction, engage with customers to understand their needs, develop joint GTM plans with model providers, and drive customer adoption of GenAI solutions. The role requires a blend of business and technology background, with domain expertise in Generative AI and experience in articulating the benefits of AI/ML services to various audiences. | — | 5 |
| Sr Worldwide Specialist - GenAI, Amazon Bedrock, Data & AI GTM This role focuses on defining and executing Go-to-Market (GTM) strategies for Amazon Bedrock, a GenAI service. The responsibilities include accelerating customer adoption, influencing product direction, developing joint GTM plans with model providers, creating content, driving thought leadership, and working with customers to understand their technical requirements and business problems. The role requires a blend of business and technology expertise in Generative AI and ML-powered use cases, with a focus on market development and evangelism. | — | 5 |
