Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Currently tracking 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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 732 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Principal Evangelist, Startups and Venture Capital, AWS Startup Marketing This role is for a Principal Evangelist at AWS Startup Marketing, focusing on showcasing how startups can leverage AWS cloud and AI services to accelerate their growth. The individual will create and present technical content, lead engagements with startups and VC firms, and act as a public-facing evangelist. While the role involves discussing AI services and generative AI tools, the core function is marketing and evangelism, not direct AI/ML model development or deployment. | — | 5 |
| Sr. Technical Evangelist, Government, Worldwide Public Sector Marketing This role is for a Sr. Technical Evangelist focused on the US Public Sector, specifically government and defense. The primary responsibility is to translate complex cloud and AI architectures into compelling narratives and presentations for public sector leaders, showcasing how AWS services, including AI, can transform their operations. The role involves creating and delivering technical content, engaging with government agencies, and acting as a public-facing evangelist. While AI is a key component of the value proposition, the role itself is not about building or shipping AI models, but rather about evangelizing their use within the public sector context. | — | 5 |
| Principal Sales Specialist, GenAI, Auto & Mfg This role is a sales specialist focused on driving the adoption of AWS Generative AI services within the automotive and manufacturing industries. The primary responsibility is to understand customer needs, articulate the value of AWS AI solutions, and guide customers through the sales lifecycle from ideation to production. The role involves collaborating with account teams, solution architects, and partners to embed and deploy AWS Generative AI solutions, ultimately unlocking new value streams and solving business problems for customers. | — | 5 |
| Sr Product Manager, AWS GDSP A&I Product Manager for AWS Private Pricing, focusing on tools and technology enhancements, including generative AI, to improve internal and external customer experience and drive growth. Owns the full product lifecycle for these tools. | — | 5 |
| Sr. Program Manager, eXperience Measurement Science (XMS) This role is for a Sr. Program Manager on the eXperience Measurement Science team at Amazon. The primary focus is on managing employee listening programs and survey campaigns, leveraging generative AI and statistical models to improve employee experience. The role involves collaborating with cross-functional teams, developing content management strategies, and identifying process improvement opportunities. While AI tools are used, the core craft is program management and product development in the employee experience domain, not direct AI/ML model building. | — | 5 |
| Sr. Product Marketing Manager - Tech, Healthcare and Life Sciences Industry, AWS Industry Marketing Product Marketing Manager for AWS Industry Marketing, focusing on Healthcare and Life Sciences. This role involves translating complex cloud and AI solutions into customer value, influencing product strategy, developing positioning and messaging, and acting as a technical evangelist. Requires a blend of technical understanding and business strategy, with experience in the Healthcare/Life Sciences industry and generative AI. | — | 5 |
| Sr. Signal & Power Integrity Engineer, Annapurna Labs - AI Silicon Packaging This role focuses on Signal & Power Integrity (SI/PI) analysis and optimization for advanced packaging solutions of machine learning and data center ASICs. The engineer will lead package-level SI/PI strategy, design and optimize package stack-ups, perform high-speed channel simulations, analyze and optimize the package PDN, and model advanced interconnects. The role requires expertise in SI/PI tools, advanced packaging technologies, and correlation of simulations with lab measurements. | — | 5 |
| Senior Startup Investor Manager, VC, AWS, Startup Investor Management This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The Senior Startup Investor Manager will leverage technical understanding of cloud and emerging technologies, like generative AI, combined with business acumen to identify opportunities and ensure startups have access to the necessary resources to build products on AWS. The responsibilities include creating investor-focused programs, implementing solutions, collaborating cross-functionally, monitoring program effectiveness, collecting market signals, evaluating startup potential, and advising portfolio companies on cloud architecture and go-to-market strategies. | — | 5 |
| Senior Program Manager, Alexa Audio Senior Program Manager for Alexa Audio, focusing on delivering audio experiences for internal and external partners, with an emphasis on Generative AI and LLM capabilities. Responsibilities include program definition, scoping, end-to-end delivery, stakeholder management, and strategic roadmap development, particularly concerning Legal, Privacy, Trust, and Voice of Customer programs. | — | 5 |
| Sr. Product Manager- Technical, Agentic AI, AWS Transform This role focuses on defining and delivering services and tools that leverage generative AI and agentic techniques for large-scale code transformations and modernization within AWS. The Product Manager will drive the product roadmap, work with engineering and design teams, and create go-to-market plans for AI-powered automation solutions. | — | 5 |
| AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations The role focuses on operating and optimizing a fleet of ML servers and accelerators, debugging hardware and software issues, developing data infrastructure, and creating automation software for operational scaling. It involves system remediation, root cause analysis of hardware failures, and implementing system-level testing. | — | 5 |
| AWS Certification Program Leader, AWS Certification This role leads the strategy, development, and global delivery of AWS Certification exams, focusing on validating cloud expertise. It involves end-to-end portfolio management, from content creation to go-to-market execution. A key aspect is reimagining skills assessment by leveraging AI, adaptive techniques, and psychometric models for continuous validation of cloud skills at scale. | — | 5 |
| Principal Security Engineer, AWS Network Servcies, AWS Network Services Principal Security Engineer for AWS Network Services, focusing on securing customer workloads and developing security products. The role involves using AI for security and securing AI workloads, making high-judgment security decisions, coaching junior engineers, and contributing to threat intelligence and network security services like WAF, BOTS, and DDoS Protection. Requires experience in delivering cyber security solutions, creating security strategies, and shipping production code. | — | 5 |
| SDE-II, Healthcare AI Software Development Engineer II (SDE-II) for AWS Applied AI Solutions, specifically focusing on building Amazon Connect Health within the Healthcare AI organization. The role involves designing and developing scalable software systems, writing high-quality code for cloud-based healthcare applications, and collaborating with product managers and applied scientists. The position emphasizes working on data processing, analytics, and machine learning systems to improve healthcare outcomes, reduce costs, and enhance care delivery. | Ship | 5 |
| Sr. ABM Manager, Federal Civilian, AWS Industry Marketing This role is for a Sr. ABM Manager for AWS Federal Civilian customers. The primary focus is on leading high-impact marketing programs to drive awareness, engagement, and pipeline growth within named government accounts. The role involves understanding how AWS capabilities, including generative AI, can transform federal agency missions. It requires strategic vision and hands-on execution, working at the intersection of marketing, field sales, and government relations. | — | 5 |
| Sr. Manager, Security Services SA, AWS Security Services SA - North America This role is for a Sr. Manager to build and lead a new team of Security Services Specialist Solutions Architects within AWS Global Sales. The team will focus on driving customer adoption of AWS security services, particularly for generative AI and agentic workloads, by acting as a technical bridge between AWS security services and customer needs. The manager will recruit, develop, and lead the team, partner with sales and product teams, and establish thought leadership. | — | 5 |
| Principal UX Designer, Amazon Customer Service Technology Principal UX Designer for Amazon Customer Service Technology, focusing on designing next-generation AI-powered tools and generative AI solutions to improve customer and associate experiences. This role involves strategic leadership, hands-on design of complex workflows, and partnership with engineering and product teams to drive AI innovation in customer service. | Agent | 5 |
| Senior Product Manager, Technical, Amazon Customer Service The Senior Product Manager, Technical will drive the vision and strategy for deploying AI and LLMs to automatically detect and resolve customer defects across the Amazon shopping journey. This role involves partnering with various teams to launch new products and features that drive large-scale customer impact. | — | 5 |
| ML Data Associate I The ML Data Associate I role at Amazon focuses on performing annotation and data processing tasks for ML data, including audio, image, video, and text. The role involves collecting ground truth data, executing detail-oriented exercises, applying language skills, and meeting daily productivity and quality targets. It also includes performing quality audits, reporting results, adhering to compliance requirements, and testing new ML data tools. | Data | 5 |
| Software Development Engineer, Neuron Foundation Tools Software Development Engineer responsible for developing and maintaining high-performance monitoring and profiling tools for AWS Neuron AI accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Profiler/Tools toolchain, optimizing ML Kernels and Frameworks, and collaborating with compiler and runtime teams to provide insights for customer optimization of AI workloads. | Serve | 5 |
| Senior Sales Specialist, Analytics, ISV Senior Sales Specialist for Analytics at AWS, focusing on driving revenue and customer adoption of AWS analytics and AI/ML services by developing strategic plans, articulating value propositions, and managing the sales process. This role requires deep technical and business acumen, experience engaging with C-suite executives, and building consensus across teams. | — | 5 |
| 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 |
| Director IAM, Amazon Foundational Security Services Director of Software Development for Amazon Foundational Security Services (AFSS) focusing on identity and access management. The role involves transforming access controls, operating Tier-1 services, and establishing a new vision for business agility and security. Key responsibilities include leveraging generative AI for development acceleration, service operations transformation, and shipping AI authorization features to support agentic AI. | Agent | 5 |
| Sr. ABM Manager, National Security & Defense, AWS Industry Marketing Senior ABM Manager for AWS Industry Marketing focused on the National Security and Defense sector. The role involves designing and executing targeted marketing programs for government accounts to drive awareness, engagement, and pipeline growth, leveraging AWS cloud and generative AI capabilities. This is an individual contributor role working at the intersection of marketing, sales, and government relations. | — | 5 |
| Principal Account Exec, AWS Enterprise Games, Games This role is for a Principal Account Executive at AWS, focusing on the enterprise games business. The primary responsibility is to manage and grow a key customer relationship, identifying and accelerating growth areas including AI/ML, data transformation, developer enablement, and infrastructure optimization. The role requires strategic thinking, collaboration across teams, and acting as a trusted advisor to the customer. | — | 5 |
| Senior Frontier AI Partner Development Manager, AMER Startup Partner Team This role is a Partner Development Manager at AWS, focusing on building relationships with startup Generative AI partners. The primary responsibility is to drive adoption of AWS services among these partners, manage strategic relationships, and develop go-to-market strategies to increase revenue and market adoption of partner solutions. It involves technical and business background, engaging at C-level, and managing pipelines and contract negotiations. | — | 5 |
| Senior Product Manager, Amazon Transportation Services Senior Product Manager to build, launch, and scale Generative AI (GenAI) and data science products for Amazon's middle mile transportation network, focusing on planning and execution. The role involves defining product vision, aligning business outcomes with scientific research, and making strategic decisions on complex transportation problems. | Ship | 5 |
| Software Development Engineer, Playback Team Software Development Engineer on the Playback team at Audible, focusing on designing, architecting, and implementing machine learning solutions for audio storytelling applications. The role involves developing software components, collaborating with stakeholders, and optimizing playback quality and customer experience. | Ship | 5 |
| Director, Selling Partner User Experience Director of Selling Partner User Experience at Amazon, leading strategic vision and design standards for seller-facing tools. The role focuses on creating a world-class multi-channel selling experience, scaling the next-generation selling experience, and driving AI/ML integration for personalized and dynamic experiences. Key responsibilities include owning UX for core seller workflows and influencing across the organization. | — | 5 |
| AI Tutor, Rufus, Amazon Rufus This role involves training and improving Amazon's generative AI-powered shopping assistant, Rufus, by conducting high-judgment evaluations and labeling data across various modalities (text, image, video, audio). The goal is to enhance the model's fluency, provide better product research, comparisons, and recommendations to customers. | Data | 5 |
| Senior Business Analyst, Relay Trust This role is for a Senior Business Analyst in Amazon's Middle Mile Transportation Technology (MMPT) organization, focusing on fraud prevention solutions. The role involves using machine learning algorithms, but the primary focus is on business analysis, data visualization, automation, and building BI solutions. The candidate will work with large datasets, develop automated data pipelines, and create self-serve analytics dashboards. While proficiency in Python/SQL is mentioned, the core of the role is business analysis and driving decision-making through data, not direct ML model development. | — | 5 |
| Senior Partner Development Specialist, Generative AI & Data, Americas Specialist Partner Team This role focuses on driving the go-to-market strategy for AWS Generative AI & Machine Learning business through partners. The specialist will enable partners to build solutions, drive revenue growth, and act as an internal AI/ML subject matter expert. The role involves developing and executing GTM plans, educating partners, and unblocking challenges. | — | 5 |
| Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware This role is for a Sr. Mechanical Engineer focused on the design and optimization of hardware, specifically custom chips and accelerators for machine learning in Amazon's data centers. While the hardware supports ML, the core craft of the role is mechanical and thermal engineering, not AI/ML model development. | — | 5 |
| Builder Solution Architect, AWS Product Marketing Demo Engineering This role focuses on designing and implementing production-quality technical demonstrations for AWS services, particularly in Generative AI and Machine Learning. The Builder Solution Architect will develop code artifacts, support analyst evaluations, and collaborate with various teams to showcase AWS's capabilities to customers and internal stakeholders. The role emphasizes creating inspiring demos for product launches and events, requiring strong software development skills and the ability to quickly learn new concepts and tools. | Ship | 5 |
| Finance Manager - Inventory Optimization, SCOT AIM Finance This role is a Finance Manager responsible for the financial strategy and controllership of Amazon's Automated Inventory Management systems, which utilize AI and machine learning. The role involves partnering with technical teams to evaluate technology investments, assess algorithmic outcomes, and drive financial improvements in the supply chain. While the role interacts heavily with AI systems and teams, its core function is finance and product management from a financial perspective, not direct AI/ML development. | — | 5 |
| Network Dev Manager III, OpsTech Network Engineering This role is for a Network Development Manager III at Amazon OpsTech, focusing on leading the development and delivery of automated LAN and Wireless network solutions for fulfillment and robotics operations. The role emphasizes driving innovation in network automation, AI-powered solutions, and next-generation architectures, while also managing a team of engineers. The primary focus is on the infrastructure that supports AI operations rather than building AI models directly. | — | 5 |
| Senior Training Specialist, AGI-DS Knowledge Management Team This role focuses on training delivery and management within an AI organization, specifically for the AGI-DS Knowledge Management Team. The Senior Training Specialist will facilitate blended learning, manage learning systems, track training completion, and identify areas for improvement to scale training approaches. While the role is within an AI context and uses AI tools, its core function is training and development, not direct AI/ML model development or deployment. | — | 5 |
| Data Scientist, Rapid & Rural Logistics (R2L) Data Scientist role focused on building the next generation supply chain for Amazon's ultra-fast customer experiences. The role involves identifying and prioritizing complex business problems, translating them into data science problems, and designing, developing, and evaluating innovative statistics and ML models. It also requires establishing scalable processes for data analysis, model development, validation, and implementation, with a goal to improve customer experience, product availability, and reduce supply chain costs. | Ship | 5 |
| Network Development Manager III, Operations Technology Networking This role is for a Network Development Manager at Amazon, leading a team responsible for designing, planning, and delivering global network infrastructure for Amazon's fulfillment, transportation, and grocery sites. The role involves driving the integration of networking technologies, managing vendor relationships, and scaling network architectures. A key aspect is championing the integration of AI and machine learning to enhance network automation and operations, and promoting the adoption of AI-powered tools and generative AI for network operations. | — | 5 |
| Sr. Solution Architect, Amazon Shipping Senior Solution Architect for Amazon Shipping, focused on driving enterprise customer launches by designing and implementing complex integrations. The role involves technical expertise in pre-sales and post-sales, customer advisory, and hands-on execution, including leveraging AI tools for troubleshooting. | — | 5 |
| Brand Designer, Amazon Leo Brand Designer for Amazon Leo, a satellite network, responsible for creating visual components and campaign identity systems. The role involves working across mediums, defining the look and feel of campaigns, and leveraging generative AI tools to enhance creative workflows. | — | 5 |
| Principal Product Manager - Tech, Viewer Experience, Prime Video Global App Experience The Principal Product Manager, Tech for Prime Video's Viewer Experience will own the end-to-end product, user experience, design, and technology for delivering state-of-the-art entertainment experiences to millions of customers globally. This role involves defining product vision, strategy, and roadmaps, working cross-functionally with science, engineering, design, and other business teams, and making technical decisions. While the role requires experience with AI/ML technologies and familiarity with GenAI/LLM tools, its core focus is on the product delivery of consumer-facing features within the Prime Video app. | — | 5 |
| Senior Software Developer, AWS Distributed SQL Senior Software Developer role focused on improving the developer experience for Amazon Aurora Distributed SQL, particularly in the context of AI-assisted development and agentic applications. The role involves leading technical strategy, architecture, and delivery of tools, documentation, and integrations to make DSQL easier for developers and AI agents to use. | — | 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 |
| Data Scientist, LM Simulations Engineering, AMZL Simulations & Analytics Engineering Data Scientist role focused on designing and optimizing complex delivery networks using statistical and machine learning models, experiments, and simulations. The role involves owning the Data Science/ML roadmap, translating business challenges into mathematical models, and delivering scalable solutions. | Data | 5 |
| Data Scientist II - AMZ9658237 This role focuses on designing and implementing scalable data science approaches, acquiring and analyzing data, and building statistical and machine learning models. It involves using SQL for data acquisition and ETL, and implementing models with considerations for computational demands, accuracy, and reliability. | Data | 5 |
| Manager, Senior Economist, Marketing Measurement Manager, Senior Economist, Marketing Measurement at Amazon. This role leads a team of Economists, Data Scientists, and Applied Scientists to design and build a next-generation marketing measurement system using causal inference and AI. The goal is to provide actionable insights for marketing investment decisions, focusing on incrementality and long-term customer actions across WW marketplaces. The role requires strong leadership, technical expertise in econometrics and AI solutions, and the ability to bridge the gap between technical teams and business stakeholders. | Ship | 5 |
| Sr. National Account Manager – Retail Growth Channels, Ring & Blink This role is for a Sr. National Account Manager focused on driving growth for Ring and Blink by establishing new strategic retail partnerships. The role involves identifying and securing partnerships, developing strategic account plans, leading contract negotiations, managing partner relationships, and collaborating with internal teams. While the role mentions leveraging AI tools for market analysis, optimization, and efficiency, the core function is sales and business development, not building or directly shipping AI models or systems. | — | 5 |
