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 |
|---|---|---|
| Business Intelligence Engineer III, Routing and Planning This role focuses on leveraging data and analytics to generate business insights and improve operational efficiency within Amazon's Last Mile delivery network. The engineer will collaborate with various teams to design and develop analytic capabilities, define key metrics, build dashboards, and engineer data-driven processes. The role involves presenting analyses to senior leadership and shaping work for junior team members. | — | 0 |
| LSHC Greenfield BD, Industry GFD, LSHC Industry GFD team This role focuses on working with greenfield accounts and service team leaders to shape new manufacturing solutions, business models, and partnerships for the LSHC industry strategy. It involves monitoring industry trends and customer needs to develop business opportunities and identify potential projects, as well as developing and implementing sales strategies, processes, and best practices. | — | 0 |
| Software Dev Engineer II, FireTV Devices, Content & Advertising |
| — |
| 0 |
| Senior Business Intelligence Engineer, Delivery Speed and Long-term Planning This role focuses on Business Intelligence Engineering within Amazon's delivery speed and long-term planning operations. The primary responsibilities involve advanced data analytics, metrics development, reporting, and data quality checks using SQL and BI tools to improve complex supply chain systems and influence roadmaps. While machine learning and data science are mentioned as areas of experience, the core function is data engineering and business intelligence to optimize logistics and delivery speed. | — | 0 |
| Sr. Safety Engineer, AWS Health & Safety The AWS Health, and Safety (H&S) team is seeking a Global Safety Engineer to support AWS Hardware Engineering and Design Teams. This role involves providing technical leadership for the development of products and installations to ensure they can be safely maintained and operated by AWS employees. The engineer will collaborate with various technical functions to manage internal equipment safety projects and partner with design engineering teams to provide safe design support throughout product and process design phases. Key responsibilities include ensuring compliance with health and safety regulations, implementing inherently safe design principles, providing H&S input during product development, conducting risk assessments, and offering technical guidance on machine and electrical safety. | — | 0 |
| Investigation Specialist II, Relay Product Excellence This role focuses on conducting investigations and ensuring compliance within Amazon's logistics operations, utilizing data analysis with Excel and SQL. It involves identifying process gaps, mentoring junior staff, and driving workflow improvements, requiring experience in audit, compliance, or investigations. | — | 0 |
| ITS Support Engineer I (ONS) This role is for an IT Support Engineer responsible for providing end-to-end technical support for Amazon's corporate employees, ensuring seamless operation of laptops, servers, and websites. Responsibilities include diagnosing and resolving hardware and software issues, managing IT assets, and mentoring team members. | — | 0 |
| Program Manager III, Selling Partner Experience Governance (SPXG) Program Manager to lead design and implementation of international expansion infrastructure for Selling Partner Experience. Role will partner with internal teams to deliver and interpret metrics that improve the Global experience of our 2M Selling partners worldwide. Will lead the worldwide roll out to enable seamless international expansion for Sellers across Amazon's worldwide stores. Collective work across the program addresses key Seller pain points, transforming a historically fragmented, complex process into a cohesive global selling experience for Sellers while delivering broader selection and better value for customers. | — | 0 |
| Software Dev Engineer, EC2 Nitro, EC2 Nitro Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms. | — | 0 |
| Sr. Business Intelligence Engineer , AWS GDSP 3PX Senior Business Intelligence Engineer role focused on Private Pricing Analytics within AWS GDSP. Responsibilities include developing analytical and forecasting models, creating self-service dashboards and visualizations, and implementing automation solutions to drive process improvements. Requires strong business acumen, analytical background, and experience translating business requirements into actionable solutions. Basic qualifications include experience with statistical analysis, scripting for automation (Python), advanced SQL, information retrieval, data science, machine learning, data mining, working with business stakeholders, and data visualization tools (Tableau, Quicksight). | — | 0 |
| Business Intelligence Engineer III, SCOT - AIM - EU This role focuses on developing analytical solutions and automated data pipelines to improve business intelligence and supply chain optimization within Amazon's EU network. The Business Intelligence Engineer III will be responsible for creating data pipelines, ensuring data integrity, and analyzing business problems to drive improvements in forecasting, inventory management, and operational efficiency. The role requires strong data engineering, SQL, and scripting skills, with an emphasis on translating business needs into data-driven solutions. | — | 0 |
| Software Development Engineer, Event Outfitters Engineering Software Development Engineer role focused on building and developing solutions for managing a large fleet of AWS Accounts for hands-on workshops and events. The role involves designing and implementing fault-tolerant, scalable, and secure distributed cloud-scale systems using various AWS services. It also includes leveraging GenAI to automate operational tasks. | — | 0 |
| BD Manager, Greenfield RCH This Business Development Manager role focuses on working with greenfield accounts and service team leaders to shape new manufacturing solutions, business models, and partnerships within the RCH industry strategy. The role involves monitoring industry trends and customer needs to develop business opportunities and identify potential projects, as well as developing and implementing sales strategies, processes, and best practices. | — | 0 |
| Software Development Engineer II, Amazon Software Development Engineer II at Amazon, focusing on designing and developing scalable financial systems and solutions for global financial transactions using AWS cloud technologies. The role emphasizes architectural design, software development, testing, deployment, and advocating for engineering best practices. While AI/ML experience is a plus, it is not the core focus of the role. | — | 0 |
| TOM TAI-E Technician This role supports the implementation and maintenance of automated yard systems and technology within Amazon's transportation operations. It involves troubleshooting hardware, software, and operating systems, piloting new tools, and identifying process improvements to enhance efficiency. | — | 0 |
| Senior Account Executive, Amazon Currency Converter This role is for a Senior Account Executive focused on driving adoption of Amazon's Currency Converter product among selling partners. It involves sales pipeline management, project ownership, and interfacing with executive-level contacts to facilitate sales. The role requires building relationships, creating proposals, and understanding market segments to drive growth. While the product uses ML-enabled content, the role itself is sales-focused. | — | 0 |
| Industry BD, Greenfield RCH This role focuses on business development and sales within the manufacturing industry for AWS, working with greenfield accounts and service team leaders to shape new manufacturing solutions, business models, and partnerships. The responsibilities include monitoring industry trends, developing business opportunities, and implementing sales strategies. | — | 0 |
| Software Development Engineer, Open Data Analytics - Engines Software Development Engineer role focused on open data analytics and large-scale data processing frameworks like Spark, Trino, Flink, Hive, Hadoop, and HBase within AWS EMR. The role involves designing and building next-generation technologies, working on complex distributed systems and query engines, and contributing to open-source projects. | — | 0 |
| Data Engineer II, Transportation Execution, Speed Team Data Engineer II role focused on building and operating scalable data pipelines and infrastructure for Amazon's transportation logistics. Responsibilities include ETL/ELT development, Redshift cluster management, technical design, and collaboration with data scientists and business teams. The role emphasizes data reliability, efficiency, and optimization for reporting, analysis, and machine learning workloads. | — | 0 |
| Senior Customer Success Specialist, Connect Specialty Sales Senior Customer Success Specialist for Amazon Connect, a CCaaS solution leveraging generative AI. The role involves acting as a strategic advisor to customers, driving adoption of Connect capabilities, managing relationships with strategic accounts, and meeting revenue targets. Requires enterprise sales/consulting experience in CCaaS or similar SaaS solutions. | — | 0 |
| Senior Customer Success Specialist, Connect Specialty Sales Senior Customer Success Specialist for Amazon Connect, a CCaaS solution leveraging generative AI. The role involves acting as a strategic advisor to customers, driving adoption of Connect capabilities, managing relationships with strategic accounts, and meeting revenue targets. Requires enterprise sales/consulting experience in CCaaS or similar SaaS solutions. | — | 0 |
| SAP DM Functional Architect, AWS SAP Team Experienced SAP Digital Manufacturing Functional Architect to design, implement, and support SAP Digital Manufacturing solutions, focusing on efficient shop floor execution and integration with other systems. Requires expertise in SAP Digital Manufacturing components and manufacturing processes. | — | 0 |
| SAP EWM Functional Architect, AWS SAP Team Seeking an experienced SAP Enterprise Warehouse Management Architect to lead the architecture, design, implementation, and support of SAP EWM solutions, ensuring efficient warehouse operations and seamless integration with enterprise platforms. Responsibilities include leading warehouse management processes, architecting solutions, conducting assessments, ensuring compliance, leading projects, developing documentation, monitoring processes, and providing guidance. | — | 0 |
| Account Executive, Federal Financials, WWPS Account Executive for AWS Federal Financials, focusing on driving revenue and customer engagements within the US Public Sector Federal Financial Market. The role involves developing business and technical relationships with C-level executives, identifying opportunities, and promoting AWS services including AI/ML. | — | 0 |
| Senior Account Executive, Federal Financials, WWPS This role is for a Senior Account Executive focused on driving revenue and customer engagements for Amazon Web Services (AWS) within the US Worldwide Public Sector Federal Financial Market. The candidate will be responsible for developing and managing a book of business, building technical and business relationships with C-level executives, and helping customers leverage AWS services for business transformation. The role requires strong sales and technical background, strategic thinking, and the ability to convey compelling value propositions. A US Citizenship is required. | — | 0 |
| Sr Technical Infrastructure Program Mgr, Operations Infrastructure Solutions This role is for a Sr Technical Infrastructure Program Manager within Amazon OpsTech Engineering. The primary focus is on managing complex infrastructure builds and delivering cross-organizational initiatives. The role requires understanding implementation challenges, driving adoption, managing program strategy from concept to delivery, and communicating effectively with senior leadership. While IT infrastructure domains are mentioned, the core function is program management, not direct AI/ML model development. | — | 0 |
| Software Dev Engineer, EC2 Nitro, EC2 Nitro Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms. | — | 0 |
| Software Dev Engineer, EC2 Nitro, EC2 Nitro Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms. | — | 0 |
| Software Dev Engineer, EC2 Nitro, EC2 Nitro Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms. | — | 0 |
| Software Dev Engineer, EC2 Nitro, EC2 Nitro Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms. | — | 0 |
| Software Dev Engineer, EC2 Nitro, EC2 Nitro Machine Learning Systems Software Development Engineer on the EC2 Nitro Machine Learning Systems team, focusing on developing next-generation EC2 Supercomputers for high-performance training and inference workloads. Requires strong C/C++ or Rust development in a Linux environment, with experience in Linux package management, version control, automated builds, and unit testing. ML frameworks and cluster management experience are preferred. | — | 0 |
| Hardware Engineer - ML Acceleration, Annapurna Labs This role is for a Hardware Design Engineer focused on the definition, design, and validation of AWS next-generation ML Chips and Cards, and their server integration. The engineer will work on PCIe and Serdes topics to create customized platforms for AWS datacenters, optimizing hardware for ML acceleration and large-scale server deployments. | — | 0 |
| Senior Account Executive -US Federal Financials, US Federal Financials This is a Senior Account Executive role focused on selling Amazon Web Services (AWS) cloud computing solutions to US Federal Financial organizations. The role involves driving revenue, managing customer engagements, developing business and technical relationships, and closing deals. While AI/ML services are mentioned as part of AWS offerings, the core function of this role is sales and business development, not building or directly working with AI/ML models or infrastructure. | — | 0 |
| Software Dev Engineer, EC2 Nitro, EC2 Nitro Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms. | — | 0 |
| Senior Business Manager, B&M, WW Amazon Gift Cards Senior Business Manager for Amazon Gift Cards, focusing on the 3rd party (B&M) and partner channels in the US and Canada. Responsibilities include managing profitability, identifying growth strategies, building partner relationships, driving results, and analyzing extensive data to inform decisions. The role involves collaboration with cross-functional teams and assessing business needs to develop and execute growth strategies, including promotional calendars and marketing campaigns. Experience with sales CRM and basic generative AI tools for workflow efficiency is required. | — | 0 |
| BD Rep Account Executive role at AWS focused on driving new business acquisition and expanding AWS adoption within a specific sector. Requires strong business development experience with technology solutions, ability to build strategic customer relationships, and deep understanding of cloud computing fundamentals to promote strategic growth and shape the future of cloud computing and AI adoption. | — | 0 |
| Startup Partner Development Manager, Global Startup Team This role is a Partner Development Manager at Amazon Web Services (AWS), focusing on building and managing relationships with startup ISV partners in the infrastructure space (Networking, Storage, Database). The primary responsibility is to drive adoption of AWS services among these partners and their customers, leading to revenue growth and market adoption. The role involves strategic planning, GTM program execution, sales engagement, and managing partner pipelines and revenue targets. It requires a blend of business development, partnership management, and technical acumen related to cloud infrastructure and the startup/VC landscape. | — | 0 |
| Applied Scientist II, Last Mile Science The Applied Scientist II role at Amazon's Last Mile Business Analytics team focuses on optimizing delivery logistics and cost-effectiveness. The role involves developing models, creating metrics, managing projects, and working with technology teams to build new tools and systems. It requires a PhD or Master's degree with significant experience in operations research, analytics, and programming, with a focus on applying these skills to solve complex business challenges in a core operational space. | — | 0 |
| BD Mgr, Enterprise GFD-MEAGS, Greenfield MEAGS This is a Business Development Manager role for Amazon Web Services (AWS) in China, focusing on the Media, Ads, and Games industry. The role involves working with greenfield accounts to shape new manufacturing solutions, business models, and partnerships. It requires developing and implementing sales strategies, monitoring industry trends, and understanding customer needs to drive business opportunities. The position emphasizes technology sales experience, business agreement negotiation, data analysis for continuous improvement, and knowledge of cloud computing architecture. While AWS mentions AI/ML services and an AI lab in Shanghai, this specific role is focused on sales and business development within the broader cloud computing context, not on building or directly working with AI/ML models. | — | 0 |
| BD Mgr, Enterprise GFD, AWS GCR General Business This role is a Business Development Manager for AWS GCR in the General Business segment, focusing on the rapidly growing Manufacture market in Hangzhou, China. The primary responsibility is to identify and pursue new business opportunities, build relationships with key stakeholders, develop sales strategies, and manage the sales cycle to achieve sales targets. The role involves collaborating with technical experts and product managers, conducting market research, and staying updated on emerging technologies in the manufacturing space, including Physical AI and Smart devices. | — | 0 |
| Industry Specialist MFG, AWS GCR IVT This role is for an Industry Specialist in Manufacturing for AWS GCR, focusing on driving AWS adoption within the manufacturing sector. Responsibilities include defining industry use cases, assets, and solutions, identifying strategic partners, assembling cross-functional teams, and managing customer relationships to generate business pipelines. The specialist will enable AWS enterprise BD teams, collaborate with Solutions Architects and Partners, and work with product teams to evolve AWS offerings based on field feedback. Key activities involve market research, developing solution maps, creating industry-specific collateral, and acting as a thought leader. | — | 0 |
| Finance Manager, Finance Operations Accounting This role is for a Finance Manager responsible for financial operations and accounting analysis for Amazon's MENA geographies. The role involves leading a team, managing financial close processes, supporting audits, preparing financial statements, and ensuring regulatory compliance. A key aspect of the role is to drive process automation and efficiency by leveraging AI solutions and other automation technologies within financial reporting processes. | — | 0 |
| Senior Business Analyst, Production Planning, PLEX This role is for a Senior Business Analyst on the Production Planning Team at Amazon, focusing on labor planning for the North America Customer Fulfillment Network. The role involves building and implementing innovative models for centralized labor planning, leveraging advanced modeling and machine learning to improve accuracy and efficiency. It requires strong analytical skills, the ability to work with data to drive insights and recommendations, and experience with business intelligence tools and SQL. | — | 0 |
| Machinist, Quantum Computing This role supports a quantum computing research lab by operating and maintaining CNC machining centers, 3D printers, and laser engravers to produce cryogenic hardware components. It involves collaboration with shop programmers and cross-functional teams, with opportunities for development in CAM programming and fixture creation. The position is entry-level and focuses on manufacturing support within a research setting. | — | 0 |
| Applied Science Manager, Center for Quantum Computing This role is for an Applied Science Manager at Amazon's Center for Quantum Computing, focusing on leading a team that develops scientific software for quantum electronic design automation. The goal is to innovate in physical design and simulation methods to advance the state of the art in computational science for realizing a fault-tolerant quantum computer. The role involves hiring and developing scientists, partnering with science teams, influencing HPC infrastructure development, and managing scientific projects. | — | 0 |
| Sr. Thermal Scientist, Hardware - Product Integrity This role focuses on developing and optimizing thermal solutions for consumer electronic products, utilizing simulation tools, analytical and experimental methods, and programming languages like Python and Matlab. It involves concept design, system validation, and collaboration with multidisciplinary teams. | — | 0 |
| Senior Solutions Architect , ISV This role is for a Senior Solutions Architect at AWS, focusing on driving adoption of AWS cloud services for Independent Software Vendors (ISVs). The architect will own the technical relationship with customers, provide strategic guidance on cloud best practices, and help customers optimize their platforms on AWS. The role involves understanding customer business needs, designing cloud-native reference architectures for data and analytics, and identifying trends to accelerate innovation. It requires strong technical expertise in cloud computing, software development, and infrastructure, with a focus on customer success and driving adoption of AWS services. | — | 0 |
| Pr ProServe Account Executive - Financial Services, NAMER FINANCIAL SERVICES Account Executive for AWS Professional Services focusing on Financial Services customers, driving cloud transformation projects and ensuring customer success through sales of services and SOWs. | — | 0 |
| Software Development Engineer, AWS MemoryDB Software Development Engineer on the Data Plane team within Amazon ElastiCache and MemoryDB. This role focuses on designing and building the core in-memory database engine, including the data path, durability layer, replication protocol, and advanced data structures. The engineer will work with C/C++ to optimize performance, memory management, I/O, and replication for large-scale distributed systems. The role also involves developing advanced query capabilities like vector search to support emerging workloads such as generative AI, and contributing to active-active replication and conflict resolution. | — | 0 |
| Product Development Engineer, Annapurna Labs Silicon Operations This role focuses on silicon yield product engineering for AWS-Annapurna Labs, optimizing manufacturing processes for machine learning accelerator chips. Responsibilities include analyzing test data, developing automation systems, leading test coverage improvements, and creating dashboards for yield and quality monitoring. The role requires expertise in semiconductor manufacturing, statistical analysis, and problem-solving, with a focus on improving yield and performance of ML chips used in training and inference workloads. | — | 0 |
