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 1088 active AI roles, with 1262 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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 |
|---|---|---|
| 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 |
| Senior Marketing AI and Seller Experience Manager, Marketing - Amazon Global Selling This role leads the exploration and implementation of AI-driven marketing engagement experiences and data-driven marketing solutions for Amazon Global Selling. It involves understanding marketing requirements, developing use cases, and collaborating with product teams and vendors for solution development and implementation. The role requires expertise in AI technologies like machine learning, NLP, and computer vision, and focuses on marketing automation, content creation, channel distribution, media buy optimization, and personalized engagement. |
| — |
| 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 |
| Senior Data Scientist, Pricing, Amazon Shipping, Amazon Shipping Senior Data Scientist role focused on developing demand prediction and pricing models for Amazon Shipping's spot pricing system, utilizing ML and economic principles. The role involves automating price exploration, predicting prices to maximize capacity utilization, and incorporating models into production. Collaboration with business and software teams is key, as is educating non-technical leaders on complex modeling concepts. | Agent | 5 |
| Delivery Consultant- AI/ML, AWS ProServe This role is for a Delivery Consultant on the AWS ProServe team, focusing on designing, implementing, and managing AWS solutions for customers. While the role involves advising on emerging technologies and innovative solutions, including AI/ML, its core function is cloud solution delivery and customer success, not direct AI/ML model development or research. The role requires a strong understanding of AWS services and cloud architecture, with a focus on customer-facing technical consulting and project management. | — | 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 |
| Sr. Prototyping Architect, PACE, AWS Prototyping and Cloud Engineering This role involves architecting and developing solutions using Machine Learning, Deep Learning, and Generative AI to create prototypes for customers. The focus is on applying software engineering best practices to ensure prototypes can form a foundation for production solutions, within a creative environment that embraces experimentation. The role requires deep technical expertise and collaboration to solve customer problems. | Ship | 5 |
| Principal Go-To-Market Specialist, GenAI/ML, AWS This role is a Go-To-Market (GTM) Specialist for Generative AI/Machine Learning within AWS in Korea. The primary focus is on driving the adoption and growth of AWS's GenAI/ML services by developing and executing GTM strategies, identifying customer use cases, and collaborating with sales, partners, and marketing teams. The role involves understanding customer problems, enabling field teams, and bringing market signals back to product teams. It is a customer-facing role focused on business development and sales enablement rather than direct AI/ML model development or engineering. | — | 5 |
| Senior Power and Performance Architect, Annapurna Labs, Machine Learning Hardware This role focuses on the power and performance architecture for ML accelerators within Amazon's data centers. The Senior Power Architect will design and optimize power solutions, DVFS flows, and power management algorithms for these hardware components, working closely with cross-functional teams. While the hardware is for ML accelerators, the core craft of the role is power and performance engineering, not direct ML model development or deployment. | — | 5 |
| Principal Program Manager, Relay Trust, Relay Trust This role is a Principal Program Manager focused on fraud prevention within Amazon's Middle Mile Transportation Technology. While the role works with machine learning algorithms and aims to improve fraud prevention solutions, its core function is program management, process improvement, and cross-functional leadership, rather than directly building or shipping AI models. The primary deliverable is a program that protects customers from fraud, which falls under a shipped product (L6). The role uses AI tools and collaborates with ML engineers but does not appear to be the primary builder of the AI systems themselves. | — | 5 |
| Sr Manager, Program Management , Relay Trust This role is for a Sr. Manager, Program Management within Amazon's Relay Trust team, focusing on preventing fraudulent transactions in the transportation network. The role involves leading a team of Risk Analysts, partnering with business stakeholders, supporting process improvement, driving standardization, building monitoring programs, and applying new technologies to the program area. While the team utilizes machine learning algorithms and develops fraud prevention solutions, the core of this management role is product/program delivery and risk management, not direct AI/ML model development. | — | 5 |
| Software Development Engineer II, iOS, Zappos Discovery Tech - Mobile Software Development Engineer II (SDE2) for the Zappos iOS Mobile team, focusing on developing and maintaining the native iOS app. The role involves contributing to the entire customer journey, from homepage to checkout, including search, recommendations, and ads. The engineer will collaborate with product managers and designers, uphold best practices, and solve complex technical issues. A key aspect is the regular use of AI tooling to enhance daily development tasks and the ability to identify opportunities for generative AI to improve products and customer experiences. | — | 5 |
| Data Solution Lead Manager, Data Collection Excellence This role is a Data Solutions Lead Manager responsible for managing a Data Collection team focused on ML/Generative AI data collection. The role involves managing team performance, developing expertise in AI data collection and related products, leading global improvement initiatives, coordinating with global teams, monitoring and optimizing collection health metrics, and driving customer service utilization through technical value and customer experience. The manager will also act as an escalation point for difficult data collection cases and collaborate with product/technology teams to build long-term solutions. | — | 5 |
| Data Solutions Lead, Senior Manager, Data Collection Excellence This role leads a team responsible for end-to-end execution of data collections that improve General Intelligence models. It involves managing teams across multiple sites, driving business value through efficiency and agility, and having the technical acumen to handle challenging collections. The role also focuses on global program improvement initiatives, stakeholder coordination, monitoring collection health, and collaborating with product and technology teams. | Data | 5 |
| Solutions Architect, ISV - Israel Solutions Architect role focused on helping ISV customers adopt and leverage AWS cloud services, including AI/ML technologies, by architecting solutions, providing technical guidance, and evangelizing best practices. The role involves understanding customer business needs and translating them into technical solutions, creating reference architectures, and contributing to the growth of the Solutions Architecture organization. | — | 5 |
| Sr. Account Manager, GenAI Startups, India Startup This role is for a Senior Account Manager focused on GenAI startups in India. The primary responsibility is to drive cloud adoption and revenue growth among these startups by understanding their needs, building strategic relationships, and ensuring they select AWS as their primary cloud provider. The role involves extensive collaboration with internal AWS teams and external contacts to execute go-to-market strategies. | — | 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 |
| Senior Solutions Architect, Financial Services, Enterprise, Enterprise Senior Solutions Architect for AWS Financial Services in Vienna, focusing on cloud technologies and advising enterprise customers. The role involves solution design, migration strategies, security, and acting as an internal advocate. It emphasizes experience with emerging technologies like Generative AI and Agentic AI, and requires a strong technical background in cloud architecture and financial services. | Agent | 5 |
| Data Solutions Lead, Data Collection Excellence This role focuses on advising AGI-DS scientists on ML/Gen AI data collections, managing customer relationships, and driving business value through technical advisory. It involves creating and managing workstreams for data collection requirements, coordinating delivery, and monitoring collection health metrics. The role requires a strong understanding of data annotation and ML workflows, with a focus on customer success and technical consultation. | — | 5 |
| Senior GenAI / Agentic AI Sales Manager, AWS Global Sales, Specialist Senior GenAI / Agentic AI Sales Manager for AWS Global Sales, focusing on driving revenue growth by helping customers understand and adopt Generative AI and Agentic AI technologies. The role involves technical sales, solution advisory, and customer engagement to translate complex AI capabilities into business value and support successful adoption at scale. | — | 5 |
| Sr. Banking Partner Solutions Architect, AMER Partner Industry & Solutions This role is for a Senior Partner Solutions Architect within AWS, focusing on the Financial Services (FSI) Banking industry. The primary responsibility is to accelerate the adoption of AWS cloud services by working with consulting and technology partners to build and deploy technical solutions for Banking customers. While the role involves understanding and evangelizing AI/ML solutions like Agentic and Generative AI, the core function is partner enablement and solution architecture, not direct AI/ML model development or research. | — | 5 |
| Software Devlopment Engineer, FinTech Account Receivables Cash Applications Software Development Engineer to build high-performance, globally scalable AI-based Financial systems, partnering with science teams to build customized ML models and integrate with Generative AI models. Focus on designing and developing services for global financial transactions using AWS cloud platform. | Ship | 5 |
| Sr. Business Intelligence Engineer, Amazon Business - Services (ABServ) This role focuses on Business Intelligence and data analysis within Amazon Business. While it mentions Machine Learning and data mining, its primary function is to build analytical tools, automate reports, and provide insights to business and product teams. The core responsibilities revolve around data manipulation, reporting, and dashboard creation, rather than developing or deploying AI models. | — | 5 |
| Principal Product Manager - Kernels, AI/ML, Annapurna Labs The Principal Product Manager will define and drive product strategy for the Neuron Kernel Interface (NKI), a compiler library for custom kernel development and optimization on AWS Neuron ML chips. This role involves working backward from customer needs, defining kernel library features, and improving the developer experience for custom kernel development, requiring a deep understanding of compiler systems, kernel optimization, and hardware acceleration. | Serve | 5 |
| Director of Software Development, Amazon Shipping Director of Software Development for Amazon Shipping, responsible for building the technical and process capabilities to manage a large-scale transportation network. The role involves leading a significant team (130+ FTEs) across various functions including engineering, science, and business intelligence, with a focus on improving key customer outcomes like delivery speed, cost reduction, and claims management. While the role mentions AI/ML and managing scientists, its core focus is on the operational and software development aspects of a logistics product, not on core AI/ML model development or research. | — | 5 |
| Sr. ABM Manager, Defense & National Security, AWS Industry Marketing This role is for a Sr. ABM Manager for Defense & National Security within AWS Industry Marketing. The primary focus is to design and execute high-impact, targeted marketing programs for government accounts, driving awareness, engagement, and pipeline growth. The role involves working at the intersection of marketing, field sales, and government relations to help defense leaders understand how AWS capabilities, including generative AI, can transform their missions. Success involves mapping stakeholders, developing account plans, leading targeted activations, and measuring program performance. | — | 5 |
| Software Dev Engineer, Ring Core Product Software Development Engineer role focused on developing software for next-generation embedded systems for Ring camera products, leveraging AI agents and Generative AI tools to transform software development workflows. The role emphasizes AI-assisted coding, automated testing, and intelligent optimization to accelerate development. | — | 5 |
| Senior GenAI / Agentic AI Sales Manager, AWS Global Sales, Specialist Senior GenAI / Agentic AI Sales Manager for AWS Global Sales, focusing on driving revenue and customer adoption of Generative AI and Agentic AI technologies. The role involves technical sales, solution advisory, and customer engagement to translate AI capabilities into business value. | — | 5 |
| Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability This role focuses on the manufacturing, quality, and reliability of AI servers and systems that use Trainium chips. The engineer will work with cross-geographical ODMs and CMs to implement test techniques, improve manufacturing processes, qualify production lines, and mitigate product/component risks. The role is part of Annapurna Labs, which develops custom silicon and servers for AWS, including ML accelerators. | — | 5 |
| Software Development Manager, Subscribe & Save This role leads an engineering team focused on building an intelligent promotion platform for Amazon's Subscribe & Save business. The team will develop ML models for personalized promotions, create tools for selling partners, and integrate with GenAI surfaces. The role emphasizes people leadership, technical depth, and shipping innovative features at scale. | AgentPost-train | 5 |
| Operations Manager, Artificial General Intelligence Data Services Operations Manager for Amazon's Artificial General Intelligence Data Services team in London, focusing on managing and scaling data operations for AI/ML technologies, leading teams, and ensuring service delivery and performance targets are met. | Data | 5 |
| Software Developer Engineer II, IES LATECH & GIS Software Development Engineer II role focused on building customer-facing features for Amazon's global expansion, leveraging Machine Learning models to automate launch strategies and solve local problems for customers and seller partners. The role involves full software development lifecycle, system design, and collaboration with business teams. | Ship | 5 |
| Senior Applied Scientist, Modeling and Optimization Senior Applied Scientist role focused on developing and improving last-mile delivery optimization using algorithms and machine learning. The role involves designing, implementing, and evaluating solutions for large-scale optimization problems, particularly in vehicle routing, and contributing to network planning and analysis to improve efficiency and reduce costs in global fulfillment operations. Requires a strong background in optimization, algorithms, and data structures, with familiarity in ML techniques. | Data | 5 |
| Senior GTM Specialist , Annapurna Labs, ML This role is a Senior Go to Market (GTM) Specialist for Amazon Annapurna Labs ML team, focusing on driving growth for AWS AI Chips (Trainium and Inferentia) by identifying and onboarding influential partners, ISVs, and customers. The role requires understanding business needs, measuring adoption, and guiding investment decisions, working closely with internal AWS teams and external partners. It emphasizes technical depth in AI/ML, understanding of GenAI market trends, and experience working with academia and open-source communities. | — | 5 |
| Sr Program Manager, Books, Risk and Policy, TLC This role is for a Sr. Program Manager on Amazon's Books Risk and Policy team, focusing on leading launch readiness for policy and LLM/AI model initiatives. The role involves transforming complex initiatives into actionable documentation, architecting scalable processes, and partnering with various teams including Product Managers, Policy SMEs, Science, ML engineers, and automation teams. The candidate will use generative AI tools to accelerate project management tasks, contribute to LLM governance and human-in-the-loop (HiTL) process design, and identify opportunities to integrate AI tools into workflows. The role also involves process and risk management, data-driven decision making, and stakeholder management to ensure content integrity and mitigate risk within the Amazon Books store. | — | 5 |
| Principal Product Manager - Tech, Sponsored Products and Brands Principal Product Manager for Amazon Ads' Conversational Ad Experiences team, focusing on leveraging generative AI to revolutionize advertising and customer discovery through multi-turn conversational interfaces. The role involves defining product strategy, driving innovation, and launching new ad experiences. | — | 5 |
| Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather & GPU Computing Senior Solutions Architect specializing in High Performance Computing (HPC) and Machine Learning (ML) on AWS. The role involves designing cloud-based solutions for customers with complex HPC/ML workloads, including CAE, Weather, and GPU computing. Responsibilities include collaborating with sales teams, providing thought leadership, and assisting customers in architecting and migrating their applications to AWS. | Serve | 5 |
| Sr. Power Engineer, Annapurna Labs, Machine Learning Hardware The role is for a Sr. Power Engineer at Amazon's Annapurna Labs, focusing on power delivery for machine learning hardware. Responsibilities include architecting, designing, simulating, and validating power solutions, improving reliability and efficiency, and developing power technology roadmaps. The role requires strong hardware and software integration skills and experience in managing ODMs and leading power design for major technology products. | — | 5 |
| Sr SDE, Amazon Selection Catalog Systems This role involves building technology to automatically monitor and classify billions of products on the Amazon platform using machine learning algorithms on large datasets. The goal is to ensure compliance with legal regulations and build customer trust in the catalog. The role requires developing Amazon-scale applications on Amazon Cloud that process large data volumes to derive patterns and conclusions. | Ship | 5 |
| Program Manager II, (Alpha/Beta Testing), Ring Insights Program Manager II for Ring Insights, focusing on managing Alpha, Beta, and Delta testing for new products. The role involves leveraging AI-powered analytics tools for data processing, user feedback analysis, and generating insights to drive product launches. Key responsibilities include deploying AI-driven test scenarios, monitoring tester engagement using predictive models, and synthesizing AI-generated reports with qualitative insights to make product recommendations. The role also requires managing stakeholders, ensuring compliance, and coordinating with global teams. | — | 5 |
| Sr. Brand Marketing Manager, Integrated Marketing, eero This role is for a Sr. Brand Marketing Manager at Amazon's eero division. The primary focus is on shaping and executing brand strategy, integrated marketing campaigns, and storytelling across the customer journey. While the role requires knowledge of Generative AI in marketing and creative workflows, it does not involve building AI models or systems. The role is product-focused within the consumer domain, aiming to mature the eero brand. | — | 5 |
| Senior Developer Advocate, GenAI, AWS Developer Experience This role is for a Senior Developer Advocate focusing on Generative AI within AWS Developer Experience. The primary responsibility is to educate and enable developers on using Generative AI tools and services on AWS, creating technical content, and providing feedback to product roadmaps. While the role involves understanding and discussing generative AI models and techniques, its core function is developer advocacy and product enablement, not direct AI/ML model development or research. | — | 5 |
| Software Dev Intern - AI / Machine Learning This is an internship role for a Software Development Engineer focused on AI/Machine Learning at Amazon. The intern will collaborate on designing, building, and operating innovative products and services, leveraging and contributing to GenAI and AI-powered tools to enhance development productivity. The role involves working with scalable services, cloud-native architectures, and distributed systems, with a focus on the entire code lifecycle from design to deployment and operations. Experience with GenAI and Agent service development using LLM/VLM is preferred. | Agent | 5 |
| Sr. Product Manager - Technical, Alexa Sensitive Content Intelligence (ASCI) This role is for a Senior Product Manager, Technical on the Alexa Sensitive Content Intelligence team. The role involves leading the development and launch of new features related to responsible AI and sensitive content management for Alexa, working closely with engineering, science, and other stakeholders. Responsibilities include product roadmap ownership, customer problem discovery, defining requirements, and managing technical execution. | Ship | 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 |
| Software Development Engineer Software Development Engineer role within AWS focusing on building and maintaining code for various AWS services, with a specialization in Artificial Intelligence/Machine Learning and Healthcare AI. The role involves designing, developing, and implementing complex software solutions, collaborating with cross-functional teams, and identifying performance bottlenecks. Preferred qualifications include knowledge of ML frameworks like JAX, PyTorch, vLLM, and LLM fundamentals. | Serve | 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 |
| 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 |
| 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 |