Currently tracking 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Amazon currently has 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 |
|---|---|---|
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Technical Program Manager, Device Software & Services This role focuses on driving technical program execution for Amazon's device development tools, with a significant emphasis on leveraging AI/ML for automation and enhancing developer productivity. The primary goal is to shape the future of device development by leading cross-functional programs and implementing AI-powered solutions within the development lifecycle, ultimately impacting millions of Amazon devices worldwide. | — | 5 |
| Robotics - Software Development Engineer Intern/Co-op - 2026 Software Development Engineer Intern/Co-op role focused on robotics at Amazon. The role involves designing, building, and operating innovative products and services, leveraging cloud-native architectures and microservices. A key aspect is the use and contribution to GenAI and AI-powered tools to improve development productivity, alongside developing software components that interact with robotics, computer vision, and other fulfillment center technologies. | Ship | 5 |
| Expert Consultant - Software Engineer, AGI - Data Services This role focuses on providing strategic oversight and mentorship for human-in-the-loop and model-in-the-loop data pipelines used for LLM training and evaluations. The consultant will ensure data quality, champion knowledge sharing, and collaborate with AI teams to optimize data collection and model performance. | DataEval Gate | 5 |
| Software Development Engineer, Neuron Foundation Tools Software Development Engineer for AWS Neuron Foundation Tools Team, responsible for developing and maintaining high-performance monitoring and profiling tools for AI accelerators (Inferentia, Trainium). Focus on optimizing AI workloads by providing insights into performance bottlenecks and system behavior, improving ML Kernels and Frameworks. Manages the full development life cycle of the Neuron Profiler/Tools toolchain, collaborating with cross-functional teams on C++ compiler and runtime, and supporting frameworks like PyTorch, JAX, and XLA. | Serve | 5 |
| Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance This role focuses on developing firmware for power and performance management on ML acceleration chips. The engineer will design and implement intelligent control algorithms, optimization strategies, and real-time decision-making systems, working closely with hardware architects and focusing on resource-constrained environments. The role involves building instrumentation and tracing capabilities for algorithm development and validation. | — | 5 |
| Sr. Technical Product Manager, Trust CX Innovations Product Manager-Technical to drive trust, privacy, accessibility, and responsible AI initiatives across Amazon's Devices & Services portfolio. Own product strategy and execution for privacy-preserving features, accessibility standards, and RAI frameworks while delivering delightful customer experiences. Combines technical depth with product thinking to shape how millions of customers interact safely and inclusively with AI-enabled devices and services. | Ship | 5 |
| Software Development Engineer Internship - Fall 2026 (US) This is an internship role for Software Development Engineers at Amazon, focusing on building and operating innovative products and services. Interns will work on scalable cloud-native architectures, participate in code reviews, and contribute to technical documentation. A key responsibility involves leveraging and contributing to GenAI and AI-powered tools to improve development productivity. The role requires experience with at least one general-purpose programming language and data structure/algorithm fundamentals, with a preference for prior internship experience or AI-related experience. | — | 5 |
| Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Software Development Manager for the NKI Compiler Team at Amazon Annapurna Labs, focusing on developing and optimizing a new compiler for AWS custom ML hardware (Inferentia and Trainium chips). The role involves leading a team of compiler engineers to deploy compiler optimization algorithms and a new compiler at scale, targeting AWS ML accelerators. The team works on the AWS Neuron SDK, including an ML compiler and runtime, integrating with frameworks like PyTorch and TensorFlow. The role requires strong leadership, technical expertise in compilers, and collaboration with AWS ML services teams. | — | 5 |
| Director, Applied Science, Stores Economics and Science Director, Applied Science role focused on Stores Economics and Science, leveraging economics, statistics, and machine learning to optimize Amazon's buyer-seller economy. The role involves leading the development of scientific models, collaborating with scientists and engineers on data analysis and validation, and translating analysis into actionable business strategies. It requires strong economic expertise, modern data science tools, and the ability to communicate complex findings to business partners. | Ship | 5 |
| Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team The role focuses on designing and optimizing hardware (ASICs) for AWS's machine learning servers, specifically for inference acceleration. This involves integrating subsystems, implementing RTL, analyzing trade-offs for performance, power, and area, and working with various engineering teams throughout the design cycle. | — | 5 |
| ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, developing and maintaining tooling (fuzzers, specification synthesis) for an LLVM-based compiler that optimizes ML models for custom ML accelerators (Inferentia/Trainium). Focus on accuracy and reliability of the compiler stack. | Serve | 5 |
| ML Data Associate I ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, applying language skills, and meeting productivity targets. It also includes performing quality audits, reporting results, and adhering to compliance requirements. | Data | 3 |
| ML Data Associate I ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, applying language skills, and meeting productivity targets. It also includes performing quality audits, reporting results, and adhering to compliance requirements. | Data | 3 |
| ML Data Associate I ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets. | Data | 3 |
| Economist, PXT Central Science This role focuses on applying economics, behavioral science, statistics, and machine learning to identify process improvements within Amazon's People Experience and Technology (PXT) organization. The Economist will work with business partners and engineers to analyze data, estimate models, design pilots, measure impact, and implement solutions at scale, aiming to improve employee outcomes, hiring, development, and retention. | — | 3 |
| ML Data Associate I ML Data Associate role focused on annotating and processing various data types (audio, image, video, text) to create ground truth data for ML product development. Responsibilities include executing annotation tasks, maintaining quality standards, meeting productivity targets, and adhering to compliance requirements. | Data | 2 |
| GTM Security Specailist , AWS Industries (AWSI) This role is a GTM Security Specialist for AWS Industries, focused on driving revenue growth for AWS Security Services. The specialist will act as the primary seller for security opportunities, independently generating demand, building relationships with CISOs, and owning the security pipeline. The role involves identifying and developing new security opportunities, executing sales plays, and displacing competitors. It requires deep knowledge of the AWS Security portfolio and experience selling cybersecurity solutions, with a focus on AI security and generative AI workloads being a preferred qualification. | — | 2 |
| Trainer and Coach, WWFE Global Trainer Centre of Excellence This role involves training and coaching customer-facing field teams and front-line managers on the AWS value proposition and how it drives business outcomes. The role will deliver virtual and in-person learning experiences, facilitate programs, and contribute to the development and iteration of training programs, including those that leverage AI and other emerging technologies. | — | 2 |
| Risk Manager II, Relay Product Excellence This role is for a Risk Manager II at Amazon, focusing on protecting customers from transportation-related fraud and misuse. The role involves leading a team of Risk Specialists, analyzing risks and trends, developing prevention solutions, and collaborating with cross-functional teams including engineering and machine learning. While the role interacts with ML models, it does not involve building or shipping them directly, making it AI-adjacent. | — | 1 |
| Sr. Security Sales Rep This role is for a Senior Security Sales Representative at AWS, focused on driving revenue growth for AWS Security Services. The individual will be responsible for originating, developing, and closing security deals, building relationships with CISOs, and positioning AWS as a strategic security platform partner. The role involves identifying AI Security demand across the SDLC and executing sales plays for both new and existing customers, while collaborating with Account Managers and Security Solution Architects. | — | 1 |
| Senior IT Auditor, Internal Audit This role is for a Senior IT Auditor at Amazon, focusing on auditing various business areas including those related to Artificial General Intelligence. The auditor will lead end-to-end audits, assess risks in complex systems, analyze data, and influence stakeholders to drive improvements. While the role involves understanding AI/ML systems and generative AI, the core function is IT auditing and risk management, not building or researching AI. | — | 1 |
| Sr. New Product Lead , Robotics Supply Chain This role is for a Sr. New Product Lead in Robotics Supply Chain at Amazon. The individual will be responsible for supplier and supply chain strategies, product cost roadmaps, enabling rapid NPI builds, and ensuring successful ramp to mass production for a portfolio of robotic products. They will manage products from concept through development to scaled deployment, working with engineering and product leaders to drive trade-offs and technical strategies. The role requires technical subject matter expertise in robotic product technologies and architectures, and involves contributing to technical strategies and decisions that balance technical and business requirements. The lead will communicate with stakeholders, advocate for commercial opportunities, own forecasting and planning, and report on impact. The role emphasizes strong business ownership, a fast-paced environment, and a proven background in robotics automation, global supplier management, and new product introduction. | — | 1 |
| Language Producer, English, Originals Localization This role focuses on ensuring the quality and creative vision of localized English dubbing and subtitling for Amazon MGM Studios' content. It involves researching market trends, driving process improvements, managing talent and vendors, and maintaining relationships within the dubbing industry. While the role has a curiosity towards AI/ML technologies, its core function is product quality and localization management, not AI development. | — | 1 |
| Delivery Consultant - Application Modernization, AWS Professional Services This role focuses on designing, implementing, and managing AWS solutions for customers, guiding them through their cloud adoption and application modernization journey. It involves technical leadership, stakeholder collaboration, and providing expertise on cloud technologies and best practices. | — | 0 |
| Sr. Technical Program Manager, Partner Experience Engineering This role is for a Sr. Technical Program Manager at Amazon Prime Video, focusing on Partner Experience Engineering. The role involves leading core programs for content ingestion, monetization, and analytics for third-party partners. While the job mentions applying ML and Generative AI, the core responsibilities are program management, process building, and technical leadership for partner integrations and systems, not direct AI/ML model development or deployment. The primary output is a well-managed product/service for partners, which is considered a shipped product. | — | 0 |
| MLA IP Design Verification Engineer, Annapurna Labs The role is for a Design Verification Engineer focused on machine learning hardware in Amazon's data centers. Responsibilities include verifying hardware and software solutions, developing verification plans, and measuring progress against customer metrics. Requires a Bachelor's degree in Electrical Engineering and experience in bug identification and multi-level verification. | — | 0 |
| Associate Delivery Consultant – AIML, ProServe A2C Delivery , Associate to Consultant (A2C) This role is for an Associate Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will design, implement, and manage AWS solutions for customers, focusing on cloud architecture, migration strategies, and providing technical guidance. While the role mentions data and machine learning pipelines in preferred qualifications, the core responsibilities are centered around general AWS cloud consulting and solution delivery, not direct AI/ML model development or research. | — | 0 |
| Delivery Consultant - Security This role focuses on designing, implementing, and managing AWS solutions for customers, with a strong emphasis on security and cloud architecture. It involves collaborating with stakeholders, providing technical guidance, and ensuring adherence to best practices throughout the project lifecycle. The position requires a US Citizen with an active Top Secret security clearance. | — | 0 |
| Senior Delivery Consultant - Security Senior Delivery Consultant - Security role at Amazon Web Services (AWS) focusing on designing, implementing, and managing AWS security solutions for customers. Requires deep understanding of AWS products, security best practices, and customer-facing technical expertise. | — | 0 |
| UX designer, Cross Border and International Expansions UX Designer for Amazon's Cross-Border Shopping team, focusing on global e-commerce experiences. Responsibilities include end-to-end design, prototyping, and collaboration with product, engineering, and research teams to ship customer-facing features at scale. | — | 0 |
| ASIC Engineer, Annapurna Labs Amazon Web Services (AWS) is seeking an ASIC Design Engineer for its Annapurna Labs team. This role focuses on the design and optimization of custom System on Chip (SoC) hardware for AWS's machine learning servers, specifically mentioning AWS Inferentia for machine learning inference. The engineer will be responsible for RTL design, microarchitecture, synthesis, and ensuring design integrity through quality checks. Collaboration with cross-functional teams is a key aspect of the role. | — | 0 |
| Software Development Engineer, AWS OpenSearch Software Development Engineer role focused on building and scaling distributed systems for Amazon OpenSearch Service, a managed service for search, analytics, and observability. The role involves designing, developing, and deploying reliable services, working with languages like Rust, Java, and Python, and tackling challenges in cluster management, data pipelines, query optimization, and multi-tenant infrastructure. It is part of a new AI-led team focused on next-generation search and AI infrastructure. | — | 0 |
| Sr Manager, AI Systems Quality & Reliability , Annapurna AI Servers and Systems Senior Manager, AI Systems Quality & Reliability at Amazon's Annapurna Labs, leading the QnR function for Trainium AI server products. This role involves owning quality and reliability outcomes from component qualification to fleet performance, defining reliability strategy for liquid-cooled and air-cooled platforms, building quality systems across a global manufacturing base, driving failure investigations, and establishing reliability characterization for next-generation technologies. Requires extensive experience in root cause analysis, reliability/quality engineering with server compute platforms, and people management. | — | 0 |
| Sr PCBA Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability This role focuses on the manufacturing, quality, and reliability of AI servers and systems, specifically those based on Trainium chips. The engineer will work with cross-geographical ODMs and CMs, providing feedback on PCB/PCBA DFM, developing manufacturing processes, driving qualification, investigating failures, and optimizing yields. The role is part of the AWS Annapurna Labs team, which develops custom silicon and servers for machine learning. | — | 0 |
| Delivery Consultant- Data, WWPS ProServe Data and Machine Learning This role is for a Delivery Consultant specializing in Data Engineering & Architecture within AWS Professional Services. The consultant will design, build, and optimize data architectures and platforms for public sector customers, focusing on cloud data applications and data-driven decision making. The role requires strong data engineering and architecture skills, experience with cloud data platforms, and customer-facing consulting. | — | 0 |
| Delivery Consultant - Data This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include architecting scalable and secure solutions, proposing migration strategies, advising on industry trends, and leading implementation processes. The role requires strong skills in cloud architecture, data ingestion, data engineering pipelines, data transformations using Spark, and software development lifecycle best practices. Experience with AWS services, performance optimization, and cost management is preferred. | — | 0 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments, with a strong emphasis on governance, risk, and compliance (GRC). The role involves advising customers on architectures that meet various industry standards and regulatory requirements, and automating compliance processes in the AWS cloud. While the team works with emerging technologies like Generative AI, the core responsibilities are centered around security, compliance, and risk management in cloud infrastructure, not the direct development or deployment of AI models. | — | 0 |
| Software Dev Engineer III, AWS SageMaker Unified Studio Software Development Engineer III for AWS SageMaker Unified Studio, focusing on building an AI-assisted unified development environment for data engineers, data scientists, and SQL analysts. The role involves designing and building large-scale distributed systems, data workflows, and innovative technologies within the cloud. | — | 0 |
| Sr Delivery Consultant - SRC, WWPS Professional Services - GPS This role is for a Senior Delivery Consultant focused on Security within AWS Professional Services. The consultant will design, implement, and manage AWS solutions, provide technical guidance, collaborate with stakeholders on migration strategies, and act as a trusted advisor on industry trends and emerging technologies. The role requires a strong understanding of AWS services, security best practices, and experience with automation and incident response. A TS/SCI security clearance with polygraph is mandatory. | — | 0 |
| Applied Scientist, AWS Science of Security This role focuses on advanced and rigorous solutions for security, privacy, and sovereignty within AWS. The Applied Scientist will solve complex problems, own the design and delivery of solutions with long-term impact, provide technical influence, and develop fundamentally new solutions. The role requires a PhD or equivalent research experience in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, or program analysis. | — | 0 |
| Senior Applied Scientist, AWS Science of Security This role focuses on applying advanced scientific innovation to solve complex security, privacy, and sovereignty problems within AWS. It involves strategic problem-solving, designing and implementing solutions, and providing technical influence across organizations. The core technical areas include SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, and program analysis. | — | 0 |
| Software Development Engineer, AWS Marketplace Software Development Engineer for AWS Marketplace, focusing on evolving the service to meet customer needs by owning significant portions of the product and influencing strategy. The role involves working on complex system software, leveraging AI tooling and Spec-Driven Development, and building quality software with operational excellence. | — | 0 |
| Software Development Engineer, Item Relationships Pipeline Software Development Engineer role focused on building and expanding a core platform for managing product relationships across Amazon's catalog. The role involves working on highly available distributed microservices, machine-learning and rule-based validation systems, and data stores, serving millions of requests per second with low latency. | — | 0 |
