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 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1573 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), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). 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 (1023 roles), Canada (59 roles), United Kingdom (47 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 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Risk Analyst , Relay Trust This role focuses on risk analysis within Amazon's Middle Mile Transportation Technology organization. The Risk Analyst will identify, interpret, and disseminate intelligence to protect customers and partners from fraudulent actors. Responsibilities include intelligence gathering, processing information, identifying vulnerabilities, and preparing intelligence products. The role requires strong analytical, problem-solving, and communication skills, with an emphasis on data-driven decision-making and influencing stakeholders. | — | 0 |
| Software Development Engineer, Ring Neighbors Software Development Engineer role at Amazon Ring Neighbors, focusing on building and operating large-scale cloud systems for a hyperlocal social networking app. The role involves shaping the definition, vision, design, roadmap, and development of core services, with a mention of a machine learning (ML) component ripe for future investment. The team uses Go, Python, AWS services, and works on backend services and web tools for internal customers. The primary focus is on software development, design, architecture, and cloud computing, with a future opportunity to invest in ML. |
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| 0 |
| Finance Manager, Amazon Fulfillment Technologies Finance Manager to partner with Amazon Fulfillment Technologies (AFT) to drive future innovations. Responsibilities include financial and strategic analysis, developing recommendations, influencing business owners, and supporting decision-making in a fast-paced environment. Requires a Bachelor's degree in finance or related field and 5+ years of finance experience. | — | 0 |
| MLA IP Design Verification Engineer, Annapurna Labs The role is for a Design Verification Engineer focused on machine learning hardware in AWS data centers. Responsibilities include verifying hardware and software solutions, developing verification plans, and measuring progress. The role requires a Bachelor's degree and experience in design verification using System Verilog and UVM. | — | 0 |
| System Development Engineer, Automation Integration Technologies System Development Engineer focused on integrating robotics and automation within Amazon's global fulfillment network. The role involves developing core machine control logic for industrial edge devices, designing system controls architecture, and integrating control systems with various hardware and software services. It requires experience with PLC-based controls, machine control code development, and a background in industrial automation. | — | 0 |
| Sr. Formal Verification Engineer, Annapurna Labs This role is for a Sr. Formal Verification Engineer focused on hardware design and optimization for cloud server infrastructure, including machine learning inference products like AWS Inferentia. The responsibilities involve developing formal verification plans, implementing and verifying IP architectures, and using formal methods and abstraction techniques. While the role touches on ML inference hardware, the core craft is hardware design and verification, not AI/ML model development or research. | — | 0 |
| Amazon Robotics - 2026 Supply Chain Intern/Co-op, Robotics Supply Chain This is an internship/co-op role in Amazon Robotics focused on supply chain processes, including planning, sourcing, logistics, and systems. The role involves understanding and improving existing processes, leading automation projects, developing metrics, and supporting new product introductions within the supply chain organization. While the company utilizes AI and ML in its robotics, this specific role is centered on supply chain operations and business process improvement, not direct AI/ML model development. | — | 0 |
| Sr. Hardware Engineer - ML Acceleration, Annapurna Labs This role is for a Sr. Hardware Engineer focused on the design, definition, and validation of AWS's next-generation ML Chips and Cards, including server integration and PCIe/Serdes topics. The engineer will optimize hardware for data centers and work with cross-functional teams on large-scale server deployments. | — | 0 |
| Programmatic Solutions Consultant, Amazon Ads This role is for a Programmatic Solutions Consultant at Amazon Ads, supporting customers using the Amazon DSP. The consultant will manage the end-to-end customer experience, develop customer expertise in programmatic advertising, and work with clients and internal teams to meet business objectives. Responsibilities include onboarding, training, consultation, data analysis for recommendations, and gathering customer feedback for product evolution. The role requires experience in advertising technology, programmatic advertising, and client-facing consultative roles, with a focus on data analysis and relationship management. | — | 0 |
| Sr. Quantum Research Scientist, AWS Center for Quantum Computing Research Scientist role focused on developing and testing calibration and optimization tools for Quantum Error Correction on large-scale quantum processors within AWS. Requires a PhD in a relevant field, experimental experience in quantum computing, and expertise in multi-qubit system calibration and benchmarking. | — | 0 |
| Sr. Software Development Engineer, Annapurna Labs Senior Software Development Engineer at Amazon Annapurna Labs focused on compute sanitization for ML accelerators (Neuron). The role involves leading a technical team to develop tools for identifying hardware defects before customer impact, working closely with hardware, firmware, training, inference, and runtime teams. The goal is to ensure the functional correctness of ML hardware through pre-check and functional correctness checking suites. | — | 0 |
| Senior Technical Program Manager - Software, AWS Center for Quantum Computing Senior Technical Program Manager to support software development efforts for quantum hardware fabrication and operation. The role involves planning and executing projects to develop tools for data ingestion, testing acceleration, and streamlining operations, aiming to drive efficiency and accelerate hardware development. It requires navigating ambiguity, making data-informed decisions, and contributing to project management standards. | — | 0 |
| Sr Worldwide GTM Specialist - GenAI, AI Services and Bedrock, Data & AI GTM | — | — |
| Sr. Worldwide Specialist - Amazon Bedrock AgentCore, Data & AI GTM | — | — |
| Software Development Engineer, WHS Data-Tech | — | — |
| Software Development Engineer , Corporate Services Security , Corporate Services Security | — | — |
| Sr. Global Category Manager - Sensors and Pneumatics, Electromechanical Strategic Sourcing Team | — | — |
| Senior Applied Scientist, AWS Science of Security | — | — |
| Solutions Architect, | — | — |
| Sr. Technical Program Manager, Platform Engineering & Services | — | — |
| Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations | — | — |
| Software Dev Engineer II, Sales Insights and Data Science | — | — |
| DSP/Wireless Systems Engineer, LEO | — | — |
| Senior Product Manager, Technical, Amazon Search | — | — |
| Sr. Solutions Architect, AWS Industries HCLS | — | — |
| Software Development Engineer, Amazon Quick | — | — |
| Account Manager, Early Startups , Early Stage Startups | — | — |
| Inventory Planning Manager, Perishables | — | — |
| Software Development Engineer III, Platform Matching Systems and Policies (IAPP) | — | — |
| Manager - Customer Solutions, Strategic Accounts | — | — |
| Associate Corporate Counsel, AWS Legal | — | — |
| Sr. Product Manager, North America Languages Experience | — | — |
| Applied Scientist, Amazon Music - Search Science | — | — |
| Sr. Applied Scientist, Amazon Music - Search Science | — | — |
| Sr. Applied Scientist, Amazon Music - Search Science | — | — |
| Principal Economist, Stores Economics and Science | — | — |
| Applied Scientist, Sponsored Products and Brands | — | — |
| Senior Research Scientist, Ad Measurements Science | — | — |
| Sr. Principal Tech Lead, AWS Transform | — | — |
| Principal Program Manager , Selling Partner Trust | — | — |
| Sr. Solutions Architect, Product Acceleration, WWPS | — | — |
| Fraud Investigation and Operations Lead, Audible Fraud Defense, Business Risk Content | — | — |
| Sr. AM, Frontier AI Startups, Frontier AI Startup Team | — | — |