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 11% 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 |
|---|---|---|
| Member of Technical Staff, PMT Research, AGI Autonomy Product Manager - Technical role for an AGI Autonomy Lab focused on developing foundational capabilities for AI agents. The role involves defining and prioritizing tooling roadmaps for data collection, model evaluation, and release processes, bridging research and engineering by translating technical needs into product requirements. Key focus areas include combining LLMs with RL for reasoning, planning, learned world models, and generalizing agents to physical environments. | AgentEval Gate | 8 |
| Software Development Engineer III, Annapurna Labs Software Development Engineer III at Amazon Annapurna Labs, focused on building AI agents and tools to simplify and accelerate customer adoption of AWS Neuron, the software stack for Amazon's ML silicon (Trainium). The role involves technical leadership, research, and delivery of innovative software solutions to improve ML workload porting and optimization on AWS hardware. |
| Agent |
| 8 |
| Personal Robotics Group - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Locomotion, Controls, Reinforcement Learning, Perception, Manipulation, Planning, HRI and more) PhD intern/co-op role in Amazon's Personal Robotics Group focusing on research and development of intelligent robotic products, including Amazon Astro. The role involves working on the full spectrum of robotics, from hardware design to software and control systems, with a focus on manipulation, locomotion, and human-robot interaction. Requires a PhD in a relevant field and experience in programming languages like Python, C++, or Java. | ShipAgent | 8 |
| Applied Scientist II - Gen AI & LLM, PXT Applied Scientist II role focused on designing, developing, and deploying Generative AI and LLM solutions for Amazon. The role involves working with foundation models, prompt engineering, RAG, fine-tuning, and production deployment of AI systems, with a focus on applied research and evaluation. | AgentPost-train | 8 |
| Sr Software Development Manager, Generative AI for AWS Neuron This role is for a Senior Software Development Manager leading a team to build AI agents and tools that simplify and accelerate customer adoption of AWS Neuron, a software stack for Amazon's Machine Learning silicon (Trainium). The focus is on applying Generative AI to improve the process of porting and optimizing ML workloads on Neuron, involving collaboration with scientists, engineers, and customers. | AgentServe | 8 |
| Member of Technical Staff, AGI Autonomy This role focuses on developing training environments, tasks, and integrations for scaling RL environments and core model capabilities for browser-based agents. The primary responsibility is to architect and deliver robust software solutions, including agentic harnesses, and engineer high-performance systems using TypeScript and Python. | AgentData | 8 |
| Sr. Machine Learning Engineer, AWS Applied AI Solution Senior Machine Learning Engineer at AWS Applied AI Solutions focused on building a new agentic product. The role involves transforming research into production systems, owning end-to-end deployment of Generative AI and ML methods, and establishing scalable processes for model development, validation, and serving. Requires expertise in agentic systems, production ML, and scalable deployment architectures, bridging research and customer-facing products. | AgentServe | 8 |
| Software Development Manager, Devices & Services Trust CX Innovations Software Development Manager for Amazon's Devices & Services Trust CX Innovations team, focusing on building and scaling teams that deliver privacy-first, accessible, and trustworthy AI experiences for consumer devices like Alexa and Echo. The role involves driving technical strategy for privacy-preserving AI architectures, responsible AI frameworks, and accessibility features, while balancing performance with privacy, building explainable AI systems, and creating guardrails for LLMs. Key challenges include latency vs. privacy trade-offs, AI safety at scale, ambient computing privacy, multimodal AI systems, and real-time evaluation. | ShipEval Gate | 8 |
| Applied Scientist, Last Mile Delivery Automation Applied Scientist role focused on developing AI/ML solutions for Last Mile Delivery Automation, combining expertise in machine learning, computer vision, and robotics for perception, navigation, and path planning. The role involves transforming research into production-ready solutions and collaborating with engineering teams. | AgentServe | 8 |
| Sr. Applied Scientist, Amazon Ads Senior Applied Scientist at Amazon Ads focusing on applying cutting-edge generative AI and LLMs to the advertising life cycle. The role involves researching, developing, and deploying ML solutions for ranking, personalization, NLP, computer vision, recommender systems, and LLMs. It requires driving end-to-end projects, building and optimizing models, running A/B experiments, and developing scalable ML processes. The role emphasizes impacting millions of customers and advertisers through innovative ML solutions at massive scale. | ShipServe | 8 |
| Senior Software Development Engineer - AI/ML, AWS Neuron Senior Software Development Engineer for AWS Neuron, focusing on accelerating deep learning and GenAI workloads on custom ML accelerators (Inferentia and Trainium). The role involves optimizing inference performance for LLMs, working across the stack from frameworks to hardware-software boundaries, and collaborating with compiler, runtime, and hardware teams. Key responsibilities include designing, developing, and optimizing ML models and frameworks, building infrastructure for model onboarding, implementing low-level optimizations, and working with customers on model enablement. | Serve | 8 |
| Software Development Engineer - AI/ML, AWS Neuron Software Development Engineer focused on optimizing and enabling deep learning and GenAI workloads, specifically LLMs, on AWS's custom ML accelerators (Neuron SDK, Inferentia, Trainium). The role involves system-level and low-level optimizations for inference performance, working across frameworks, kernels, and hardware boundaries. | Serve | 8 |
| Applied Scientist, AWS Neuron Science Team Applied Scientist role focused on enhancing AWS software stack for Trainium and Inferentia accelerators, involving ML/RL for kernel/code generation, ML compiler techniques, system robustness, and efficient kernel development. Collaborates with customers and engineering teams to optimize ML systems and adoption. | ServePost-train | 8 |
| Amazon Industrial Robotics - Applied Scientist II Intern / Co-op - 2026, Amazon Industrial Robotics This role focuses on developing next-generation advanced robotics systems by combining AI, control systems, and mechanical design for automation at Amazon's scale. The intern will contribute to research bridging theoretical advancements and practical implementation in robotics, focusing on areas like dexterous manipulation, locomotion, and human-robot interaction, leveraging deep learning and LLMs. | Ship | 8 |
| Principal Applied Scientist, Sponsored Products and Brands Principal Applied Scientist role focused on developing and deploying generative AI solutions for Amazon's Sponsored Products and Brands advertising platform. The role involves defining science vision, building ML/LLM models for advertiser and shopper experiences, optimizing campaign performance, and leading scientific rigor. Requires strong ML, LLM, and GenAI expertise with experience in production systems and digital advertising. | ShipPost-train | 8 |
| Software Development Engineer, AI/ML, AWS Neuron, Model Inference Software Development Engineer focused on optimizing and enabling AI/ML model inference on AWS's custom hardware accelerators (Inferentia and Trainium), working across the stack from frameworks like PyTorch/JAX to hardware-specific optimizations and kernel development. | Serve | 8 |
| Sr. Manager, Applied Science, Sponsored Products and Brands Senior Manager role leading a team of Applied Scientists and Engineers to develop and deploy generative AI solutions for Amazon's Sponsored Products and Brands advertising platform, focusing on multi-lingual and multi-modal applications to drive growth in non-US markets. | Ship | 8 |
| SDE- ML Engineer, Frontier AI Robotics Machine Learning Systems Engineer for Frontier AI Robotics team, focusing on building and optimizing distributed training infrastructure for large-scale deep learning and transformer models. Role involves engineering scalable, high-performance systems for AI research and applications, with a focus on robotics, multimodal perception, and manipulation strategies. Requires strong software development, ML infrastructure, and deep learning framework expertise. | Data | 8 |
| Senior Applied Science Manager, Amazon Sponsored Products & Brands Lead a team to invent and build the SPB-Agent, a GenAI platform transforming retail-media advertising for Amazon advertisers. This agent will act as an intelligent advisor integrated into Amazon Ad Console and Seller/Vendor portals, using conversational interfaces and deep reasoning to help advertisers discover growth opportunities, optimize campaigns, and execute strategies at scale. | Agent | 8 |
| Applied Scientist The AWS Neuron Science Team is seeking scientists to enhance their software stack for ML accelerators (Trainium and Inferentia). The role involves working with customers to identify adoption barriers, collaborating with engineering teams on solutions, and advancing ML systems. Key areas include AI for Systems (kernel/code generation), ML Compiler techniques, System Robustness, and Efficient Kernel Development. | Serve | 8 |
| Sr. Software Engineer- AI/ML, AWS Neuron Apps Senior Software Engineer role focused on optimizing and deploying large AI models (LLMs, vision generative AI) on AWS's custom AI accelerators (Inferentia, Trainium). The role involves architecting distributed inference solutions, optimizing performance from high-level frameworks to hardware implementations, and developing tools for LLM accuracy and efficiency. It bridges ML frameworks (PyTorch, JAX) with AI hardware, focusing on inference performance and scaling. | Serve | 8 |
| Senior Applied Scientist, LLM Code Agents, Kiro Science Senior Applied Scientist role focused on advancing LLM code intelligence through reinforcement learning and post-training methodologies, with a strong emphasis on research, publication, and deploying these models into production systems for developers. | Post-trainAgent | 8 |
| Principal Applied Scientist, Advertiser Growth, Amazon Sponsored Products & Brands This role leads the development of generative AI applications for advertisers, focusing on agentic experiences for recommendations and guidance. It involves fine-tuning, reinforcement learning, and preference optimization, with a strong emphasis on creating customer-facing products and mentoring AI talent. | AgentPost-train | 8 |
| Software Engineer- AI/ML, AWS Neuron Software Engineer role focused on building and tuning distributed training solutions for AWS Inferentia and Trainium accelerators, specifically for large language models and other ML model families. The role involves working with PyTorch, Jax, XLA, and the Neuron compiler/runtime to maximize performance and efficiency on AWS Trainium. | PretrainServe | 8 |
| Sr. SDE- ML Data Infrastructure, Frontier AI Robotics Senior Software Development Engineer focused on ML Data Infrastructure for Frontier AI Robotics at Amazon. The role involves building and maintaining scalable data infrastructure, designing dataset management systems, developing visualization tools, and implementing advanced data filtering techniques to support cutting-edge AI robotics research. Collaboration with science teams is key, requiring both infrastructure development and hands-on technical contribution to data preparation. | Data | 8 |
| Robotics - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Perception, Motion Planning, Autonomous Mobile Robots, Computer Vision, Machine Learning, Controls, and more) This role is for a PhD student intern/co-op focused on robotics research, specifically in areas like manipulation, perception, motion planning, and autonomous mobile robots. The role involves applying machine learning, computer vision, and potentially LLMs to solve real-world robotics problems, with a focus on developing research prototypes and seeing them through from concept to working prototype. The work touches on data collection/preparation for training and research. | AgentData | 8 |
| Sr. Applied Science , AWS Agentic AI This role focuses on building next-generation models for intelligent automation within AWS Agentic AI. The scientist will develop innovative solutions for complex problems, focusing on areas like autonomous agents, API orchestration, planning, large multimodal models (especially vision-language), reinforcement learning, and sequential decision making. The role involves partnering with technology and business teams, utilizing extensive data and computational resources, and collaborating with engineers. There's an expectation to publish findings at peer-reviewed conferences. | Agent | 8 |
| Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference Senior Software Development Engineer role focused on optimizing and enabling AI/ML model inference on AWS's custom hardware accelerators (Inferentia and Trainium) through the Neuron SDK. The role involves system-level optimizations, performance tuning for latency and throughput, building infrastructure for model onboarding, and collaborating across hardware, software, and framework teams to ensure optimal performance for customers running large language models and other GenAI workloads. | Serve | 8 |
| Sr. Manager Applied Science, MLA Lead a team of scientists to research and prototype Machine Learning applications, focusing on Agentic AI and LLM solutions for seller experience, trust, and safety. The role involves designing and implementing large-scale, end-to-end business solutions and influencing technical strategy. | Agent | 8 |
| Software Development Engineer AI/ML, Inference Serving, AWS Neuron Software Development Engineer to lead and architect next-generation model serving infrastructure for generative AI applications on AWS Inferentia and Trainium accelerators, focusing on performance, reliability, and scalability of inference serving systems. | Serve | 8 |
| Senior Applied Scientist, Last Mile Delivery Automation Senior Applied Scientist role focused on developing and deploying machine learning models for Amazon's autonomous delivery systems, specifically in perception, prediction, and decision-making for autonomous vehicles. The role involves designing algorithms, leading research, transforming concepts into production, creating evaluation frameworks, and collaborating with engineering teams. | AgentServe | 8 |
| Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs The Annapurna Labs team at AWS is seeking an Engineering Manager to lead a team focused on optimizing ML kernel performance for AWS Neuron, their custom ML accelerators (Inferentia and Trainium). The role involves designing and implementing high-performance kernels, optimizing compiler and runtime performance, and working closely with customers to enable their ML models. This position operates at the hardware-software boundary, combining deep hardware knowledge with ML expertise to accelerate deep learning and GenAI workloads. | Serve | 8 |
| Software Development Engineer, AI/ML, AWS Neuron, Model Inference Software Development Engineer focused on optimizing and enabling AI/ML model inference on AWS's custom hardware accelerators (Inferentia and Trainium), working across the stack from frameworks like PyTorch/JAX to hardware-specific optimizations and kernel development. | Serve | 8 |
| Software Engineer II - AI/ML, AWS Neuron, LLM Inference, AI/ML, AWS Neuron, Model Inference Software Engineer II role focused on optimizing LLM inference performance on AWS custom ML accelerators (Inferentia and Trainium) using the AWS Neuron SDK. This involves developing and tuning ML models and frameworks, building infrastructure for model onboarding, implementing low-level optimizations, and collaborating across hardware, software, and ML teams to ensure peak performance for customers. | Serve | 8 |
| Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference Senior Software Development Engineer role focused on optimizing and enabling AI/ML model inference on AWS's custom hardware accelerators (Inferentia and Trainium). The role involves working across the stack from frameworks (PyTorch, JAX) to hardware, building infrastructure, optimizing performance (latency and throughput), and collaborating with various teams and customers to ensure efficient execution of large language models and other GenAI workloads. Experience with inference serving platforms like vLLM is required. | Serve | 8 |
| Sr. SDE, Simulation, Frontier AI Robotics Seeking a Simulation Engineer to join an AI robotics research team, focusing on developing 3D physics-based simulation frameworks and tools to enable large-scale machine learning model training for robotics. The role involves developing simulations for reinforcement learning, closed-loop simulations, synthetic data generation, implementing robotics features, building real-to-sim workflows, and collaborating with ML researchers. | DataPost-train | 8 |
| Principal Applied Scientist, Console Science Principal Applied Scientist role focused on building industry-leading Conversational AI Systems using Generative AI, LLMs, NLU, Dialog Systems, and Applied ML. The role involves developing novel algorithms and modeling techniques to advance human language technology, impacting millions of customers through products and services. It requires a PhD, extensive experience in ML model building for business applications, and a strong publication/patent record. The team uses generative AI and foundation models to reimagine customer experiences on AWS. | AgentPost-train | 8 |
| Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization Senior Software Engineer focused on performance optimization for distributed AI model training on AWS Trainium accelerators. The role involves working with frameworks like PyTorch and JAX, optimizing the Neuron software stack, and improving training throughput and efficiency for large-scale models. | Post-trainServe | 8 |
| ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs The role focuses on optimizing ML kernel performance for AWS Neuron SDK on custom ML accelerators (Inferentia and Trainium). It involves designing and implementing high-performance compute kernels, analyzing and optimizing kernel-level performance, implementing compiler optimizations, and collaborating with customers and internal teams to enable and optimize ML models. The work is at the hardware-software boundary, combining deep hardware knowledge with ML expertise. | Serve | 8 |
| Sr. Software Development Engineer, Data Center Design Engineering - BIM & AI Technologies Senior Software Development Engineer to lead the design and implementation of generative AI applications for data center design automation, integrating BIM platforms and AWS services. The role involves productionizing ML models, mentoring junior engineers, and building scalable systems in a greenfield opportunity. | Agent | 7 |
| SDE II, ML Infra Services, Annapurna Labs Software Engineer to lead the development of machine learning tools to run, optimize, and analyze machine learning workloads on AWS Neuron ML accelerators. Focus on ML infrastructure platform, capacity management, workload scheduling, and fleet orchestration. | Serve | 7 |
| Software Development Engineer I, ML Infra Services, Annapurna Labs Software Development Engineer I role focused on building and evolving machine learning infrastructure services, specifically tooling for profiling, optimization, and resource management of ML workloads on custom AI accelerators. The role involves working across the stack from infrastructure orchestration to developer-facing tooling, with a focus on shipping solutions to a large customer base and contributing to the development of AI accelerators like AWS Neuron. | Serve | 7 |
| Software Development Engineer I, ML Infra Services, Annapurna Labs Software Development Engineer to build and evolve machine learning infra services for custom AI accelerators (AWS Neuron). Role focuses on tooling for profiling, optimization, and resource management of ML workloads, working at the intersection of Kubernetes, custom silicon, and large-scale ML workloads. | Serve | 7 |
| Software Dev Engineer III, ICON Software Development Engineer III role focused on building systems that apply generative AI and agentic architectures to automate infrastructure operations at scale for Amazon's e-commerce platform. The role involves designing, implementing, and delivering large-scale services, influencing technical strategy, and collaborating with stakeholders to develop new products. Experience with production systems integrating generative AI is strongly valued. | Agent | 7 |
| Software Development Engineer I, ML Infra Services, Annapurna Labs Software Development Engineer I role focused on building and evolving machine learning infrastructure services and tooling for AWS Neuron AI accelerators. The role involves designing and implementing solutions for profiling, optimization, and resource management of ML workloads, working across the stack from infrastructure orchestration to developer-facing tools. | Serve | 7 |
| Senior Security Engineer, AI Red Team, Threat Operations Senior Security Engineer focused on offensive security operations for AI systems, including training pipelines, inference systems, and model architectures. Responsibilities include security research on AI attack surfaces, developing automated offensive security tools, and collaborating with engineering teams to improve AI security posture. | Agent | 7 |
| Senior Delivery Consultant - Data , Professional Services, AWSI HCLS Senior Delivery Consultant specializing in Data for AWS Professional Services, focusing on Healthcare and Life Sciences (HCLS). The role involves designing and implementing modern data platforms (lake, lakehouse, mesh), architecting data pipelines, and building enterprise RAG architectures, vector stores, semantic ontologies, and knowledge graphs to enable AI readiness for customers. The consultant will work within regulated environments (GxP, HIPAA) and deliver production-grade data products for ML training and agentic orchestration. | DataAgent | 7 |
| Manager, Applied Science, International Seller Services Manager for Applied Science in International Seller Services at Amazon, focusing on leading growth initiatives using generative AI, computer vision, and LLMs to help international sellers succeed on the platform. The role involves providing science leadership, establishing direction, building team mechanisms, and executing a roadmap, including recruiting and launching AI models into production. | Ship | 7 |
| Principal Applied Scientist, Selling Partner Selection Success Principal Applied Scientist to lead the development of state-of-the-art ML/AI solutions for seller success in e-commerce. This role involves translating business problems into scalable production systems, designing and evaluating innovative models, and collaborating with engineering and business teams to drive impact and future innovation. | ShipAgent | 7 |
| Software Development Engineer II, AWS AI & Strategic Partner Engineering Software Development Engineer II role focused on building new capabilities and solutions for AWS partners, integrating AI-driven automation, Agentic AI, and LLM integrations into partner solutions on AWS platforms. The role involves designing system architecture, prototyping with AI agents, and full-stack development to accelerate time-to-market for joint customer successes. | Agent | 7 |