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 |
|---|---|---|
| Applied Scientist, Last Mile Applied Scientist role focused on developing and optimizing delivery capacity in Amazon's Last Mile network. Requires strong skills in Operations Research or Machine Learning, building ML models, developing algorithms for business applications, and optimizing system policies. The role involves turning business requirements into mathematical models, contributing to production systems, and analyzing data. | Agent | 7 |
| Sr. Delivery Consultant - AI/ML, AWS Professional Services Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing GenAI and ML solutions for customers. The role involves technical guidance, collaboration with stakeholders, and advising on AI/ML trends and technologies, with a strong emphasis on AWS services. | Serve |
| 7 |
| Sr. Software Dev Engineer, Amazon Music Catalog Senior Software Development Engineer role focused on building and scaling GenAI and ML solutions within the Amazon Music Catalog team. The role involves developing, deploying, and optimizing LLMs in production, working with distributed systems and data pipelines, and partnering with Applied Scientists and Product Managers to integrate AI-driven capabilities into catalog systems. | ServePost-train | 7 |
| Software Development Engineer, CreativeX Software Development Engineer (MLE) for the CreativeX RAPID team at Amazon, focusing on real-time ad personalization and insights. The role involves tailoring visual ad experiences using technologies like latent diffusion models, LLMs, RL, and computer vision to provide dynamically optimized creatives with low latencies. Responsibilities include investigating new generative AI technologies, prototyping, evaluating feasibility, building data pipelines, and developing platforms for ML model deployment. | ServePost-train | 7 |
| Applied Scientist, Neuron ARG, Annapurna ML Applied Scientist role focused on the intersection of AI and program analysis for a deep learning compiler stack, optimizing models for ML accelerators like Trainium. Responsibilities include designing, developing, and deploying analyzers, architecting tooling, and publishing research in compiler technology and deep learning systems software. | Serve | 7 |
| Applied Scientist II - AMZ27057.1 The Applied Scientist II role at Amazon focuses on the design, development, evaluation, deployment, and updating of data-driven models and analytical solutions for ML and NL applications. The role involves applying statistical modeling, optimization, and ML techniques, routinely building and deploying ML models, and researching novel ML approaches. Mentoring junior scientists is also part of the responsibilities. The basic qualifications require a Master's degree or equivalent with one year of experience, or a Bachelor's degree with five years of experience, in a related field, with specific experience in programming (Java, C++, Python) and developing supervised/unsupervised ML models. | Serve | 7 |
| Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales Senior ProServe Cloud Architect for Healthcare and Life Sciences at AWS, focusing on designing and implementing AI and cloud solutions for pharmaceutical customers. This role involves understanding customer business objectives, architecting scalable AWS solutions for clinical development challenges, and advising on emerging technologies including agentic AI applications. The position requires deep domain knowledge of the pharmaceutical sector, including data standards and compliance frameworks, and collaboration with various AWS teams to drive innovation and customer success. | Agent | 7 |
| Senior Solutions Architect, GovTech ISVs Senior Solutions Architect for GovTech ISVs, focusing on helping them build and scale generative AI and agentic systems on AWS. The role involves guiding technical strategy, architecture, and security for regulated environments, with an emphasis on modernizing platforms and ensuring AI solutions are production-ready. | Agent | 7 |
| Applied Scientist II, Core Search The Amazon Search team is looking for an Applied Scientist II to invent signals and algorithms using LLMs and ML techniques to improve suggestion generation, recommendations, and ranking. This role involves fine-tuning LLMs for real-time suggestion generation, personalizing content, building evaluation frameworks, and designing guardrails for LLM-generated content. The work spans the entire development pipeline, including data analysis, evaluation system design, prototyping, A/B testing, and production systems. | AgentEval Gate | 7 |
| Software Development Engineer, AAIS Software Development Engineer role focused on building applied AI solutions, specifically agentic products, within the AWS Applied AI Solutions organization. The role involves transforming research into production systems, owning end-to-end deployment of Generative AI and ML methods, and establishing scalable processes for ML development and serving. | AgentServe | 7 |
| Applied Science Manager, Sponsored Products and Brands -- Offsite Manager for an Applied Science team focused on extending Amazon Ads campaigns beyond the Amazon store using generative AI and machine learning to deliver sponsored experiences in third-party environments. The role involves leading scientists and engineers, shaping product direction, developing roadmaps, and driving advertiser outcomes through ML/GenAI solutions. | Ship | 7 |
| Machine Learning Engineer, Ad Response Prediction Machine Learning Engineer at Amazon Ads focused on Sponsored Products and Brands, re-imagining advertising with generative AI. The role involves designing, coding, and supporting scalable ML pipelines and online serving systems, optimizing ML model performance and infrastructure, and implementing end-to-end solutions. It requires driving technical direction, building and growing teams, and collaborating on product direction. The team operates on a large product catalog with strict latency constraints and works with research scientists to deliver relevant ads. | ServePost-train | 7 |
| Sr. Startup Solution Architect, GenAI , AWS Startups Frontier AI This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models. The focus is on providing architectural guidance, supporting the adoption of AWS services, and acting as a technical advisor to help startups build scalable, reliable, and secure solutions. | ServePost-train | 7 |
| Sr. Startup Solution Architect, GenAI , San Francisco GenAI Startups This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models. The focus is on architecting scalable, reliable, and secure solutions, supporting the adoption of AWS services, and providing feedback to product teams. The role also involves creating technical content and presenting at events. | ServePost-train | 7 |
| Sr. Applied Scientist, WWGS Real Estate & Store Development This role focuses on applying machine learning and GenAI to develop forecasting and optimization models for Amazon's physical retail presence, supporting real estate and network planning decisions. The scientist will design, implement, and own end-to-end ML solutions, including MLOps, and enhance user interaction with GenAI. The role involves analyzing large datasets, presenting findings to leadership, and collaborating with cross-functional teams. | Ship | 7 |
| GenAI Solutions Architect, Partner Solutions Architect This role focuses on enabling AWS partners to build, scale, and sell Generative AI solutions, specifically Foundation Models and Agentic solutions. The Solutions Architect will develop joint solutions, create go-to-market strategies, and drive technical enablement. Key responsibilities include architecting integrated solutions, building proof-of-concepts, influencing partner roadmaps, and creating technical content. The role requires deep technical expertise in GenAI, strong partner relationship management, and the ability to act as a technical liaison. | Agent | 7 |
| Applied Scientist, AWS Insights & Optimization Applied Scientist at AWS Insights & Optimization developing and deploying end-to-end ML models for cost anomaly detection, forecasting, optimization, and AI-powered conversational experiences. Focus on analyzing large-scale customer cost/usage data to build intelligent cloud financial management solutions. | AgentPost-train | 7 |
| Software Development Manager, Advertising Support Products and Services Software Development Manager leading a team to build AI-powered customer support products for Amazon Advertising, focusing on AI agents and automation for advertiser case resolution and campaign management. | Agent | 7 |
| Data Scientist II, Long Term Planning and Forecasting This Data Scientist II role focuses on building scientific tooling for how business customers interact with Long-Term Planning and Forecasting (LTPF) forecasts and plans. The role involves developing causal inference models, automated explainability frameworks, and variance bridging methodologies. It also includes building GenAI-powered narrative generation capabilities and automated hypothesis ranking to synthesize quantitative variance outputs into human-readable performance summaries and identify drivers of forecast error. The position emphasizes leading cross-functional programs, defining multi-year strategy, and leveraging insights for strategic decision-making. | Post-trainData | 7 |
| Applied Scientist - Perception (SLAM/VIO), Fauna Applied Scientist role focused on developing and optimizing Visual Inertial Odometry (VIO) and sensor fusion systems for intelligent robots, involving algorithm development, embedded deployment, and leveraging ML for perception. The role requires hands-on experience with sensors, hardware, and real-world data, with a focus on real-time performance on resource-constrained robotic platforms. | ShipServe | 7 |
| Applied Scientist, AWS Automated Reasoning Applied Scientist role focused on automated reasoning, privacy, and sovereignty within AWS. The role involves solving complex problems, designing and implementing solutions, and providing cross-organizational technical influence. Requires a PhD or Master's with significant applied research experience in areas like SAT, SMT, theorem proving, symbolic simulation, program analysis, or type systems. Experience with specific programming languages like O'Caml, Dafny, Haskell, Lean, or Rust is preferred. | Eval Gate | 7 |
| Applied Scientist, AWS Automated Reasoning Applied Scientist role focused on automated reasoning, privacy, and sovereignty within AWS. Requires a Ph.D. and experience in areas like SAT, SMT, symbolic simulation, and program analysis. The role involves solving complex problems, designing and implementing solutions, and providing technical influence across organizations. | Agent | 7 |
| Sr. Delivery Consultant - AI/ML, AWS Professional Services This role is for a Senior Delivery Consultant focused on AI/ML solutions within AWS Professional Services. The consultant will design, implement, and manage AWS-based AI/ML applications and models for customers, providing technical guidance and support throughout the project lifecycle. Key responsibilities include gathering requirements, proposing model training and deployment strategies, and acting as a trusted advisor on AI/ML trends. The role requires experience with AWS AI/ML services and deploying LLMs in production. | ServePost-train | 7 |
| Data Scientist, WW Ops FP&A Data Scientist II role focused on building LLM-powered financial forecasting and knowledge retrieval systems, including RAG, for Amazon's WW Ops FP&A team. Requires translating business ambiguity into production-grade AI solutions and influencing roadmaps. | Agent | 7 |
| Sr. Applied Scientist, AWS Automated Reasoning This role focuses on applying advanced automated reasoning techniques, including SAT, SMT, symbolic simulation, and program analysis, to solve complex problems within AWS. The goal is to enhance privacy and sovereignty for AWS services, impacting business and customer outcomes through scientific innovation and strategic problem-solving. | Ship | 7 |
| Sr. System Development Engineer, World Wide Design Engineering Senior Systems Development Engineer role focused on developing AI/ML systems, autonomous robotics, and agentic workflow automation for facility design and deployment within Amazon's global fulfillment network. The role involves identifying and implementing technical solutions, developing internal tooling, contributing to product roadmaps, and mentoring engineers, with a strong emphasis on AI and innovation. | Agent | 7 |
| Applied Scientist, Pricing Science Applied Scientist role focused on building causal ML systems for Amazon's pricing decisions. The role emphasizes shipping production-quality pipelines with real business impact, bridging econometric analysis and ML pipelines. Responsibilities include designing, training, and deploying causal estimation models, owning causal ML methodology, supporting pricing experiment analysis, and connecting model outputs to business outcomes. | Agent | 7 |
| Applied Scientist, Shopping Convo Foundations - Pre-purchases Science Research and develop novel ML approaches for catalogue expansion and product attribute challenges, translating scientific breakthroughs into production-ready solutions at Amazon scale. | Post-train | 7 |
| Sr. Startup Solution Architect, GenAI , San Francisco GenAI Startups This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models. The focus is on architecting scalable, reliable, and secure solutions, supporting the adoption of AWS services, and providing feedback to product teams. The role also involves creating technical content and presenting at events. | ServePost-train | 7 |
| Software Development Engineer, Sponsored Products and Brands Off-Search Software Development Engineer on the Sponsored Products and Brands Off-Search team, focused on building hyper-scale systems and data pipelines leveraging Generative AI and LLMs to improve advertising and shopping experiences. The role involves designing and delivering scalable solutions for ad retrieval, allocation, and recommendations, transforming these into personalized and contextually aware parts of the customer journey. | Ship | 7 |
| Manager, Data Science, Outbound Communications Manager for a Data Science team focused on optimizing outbound communications for millions of customers using AI/ML, including LLMs and RL. The role involves leading the development of personalized messaging strategies, designing experiments, building propensity models, driving AI transformation in data accuracy and reporting, and owning financial planning frameworks. It also includes hiring, mentoring, and cross-functional partnership. | ShipPost-train | 7 |
| Applied Scientist, Ads Measurement Science Applied Scientist role at Amazon Ads focused on developing and productionizing end-to-end measurement solutions using Generative AI, classical ML, Causal Inference, NLP, and Computer Vision to provide insights and automate workflows for advertisers. | Ship | 7 |
| Senior Applied Scientist, Ad Measurements Science Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists. | Ship | 7 |
| Principal Technical Program Manager, Ad Measurements Science Principal Technical Program Manager for Amazon Ads Measurement Science team. This role will drive program execution for AI initiatives, including an Analyst Agent and a Customer Journey Model, working across Product, Science, and Engineering. The role involves planning, execution, and delivery of large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems. | Agent | 7 |
| Applied Scientist II, Advertising Incrementality Measurement Applied Scientist II role focused on developing and implementing machine learning and causal inference models for Amazon's advertising incrementality measurement. The role involves end-to-end model development, improving existing solutions, and collaborating with product and engineering teams to bring solutions to production. The team builds scientifically-rigorous causal inference methodologies at scale to help customers understand the impact of advertising. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Data Scientist, AWS Security Data Scientist role focused on leveraging advanced analytics and machine learning to protect AWS cloud infrastructure from security threats. The role involves developing and deploying anomaly detection models, predictive algorithms, and real-time analysis systems, as well as building and expanding LLM agent pipelines. Key responsibilities include analyzing large-scale security data, creating automated systems for threat identification, building data pipelines, and translating analytical findings into actionable insights. Experience with Python, statistical analysis, and machine learning is essential, with a focus on using AWS technologies like SageMaker and EMR. | AgentData | 7 |
| Software Development Engineer II, Devices & Services Trust CX Innovations Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems. | AgentData | 7 |
| Software Development Engineer II, Devices & Services Trust CX Innovations Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems. | AgentData | 7 |
| Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Software Development Engineer focused on AI for Prime Video's personalization and discovery, developing and guiding machine learning models from scratch. The role involves using Deep learning, GenAI, and Reinforcement Learning for search systems, leading end-to-end AI solution delivery, and conducting A/B experiments. While research publication is encouraged, the primary focus is on engineering and delivering AI solutions for customer-facing products. | Agent | 7 |
| Software Dev Engineer II, Conversational Ad Experiences Software Development Engineer II for the Conversational Ad Experiences (CAX) team within Amazon Ads, focusing on sponsored conversational shopping experiences powered by large language models (LLMs). The role involves designing and building net new conversational ad experiences on the Search page, integrating AI-driven solutions, and creating scalable systems for personalized ad experiences. This position requires building large-scale, low-latency distributed systems, ML infrastructure, data processing pipelines, and contributing to LLMOps, with a focus on customer-facing functionality impacting millions of shoppers. | Agent | 7 |
| Senior Applied Scientist, Ad Measurements Science Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists. | Ship | 7 |
| Solutions Architect II, National Security Solutions Architecture Team Solutions Architect focused on designing and implementing AI/ML and agentic AI solutions for National Security customers, leveraging AWS services. The role involves customer engagement, technical thought leadership, architecture design, and influencing product development for classified environments. | Agent | 7 |
| Senior Software Development Engineer, Sponsored Products and Brands Senior Software Development Engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). The role involves driving major product and engineering initiatives, building large-scale, low-latency distributed systems, and developing ML infrastructure and data processing pipelines. The engineer will partner with scientists to implement LLM models in production and contribute to LLMOps, impacting customer-facing functionality for millions of shoppers. | Agent | 7 |
| Sr. Startup Solution Architect, GenAI , AWS Startups Frontier AI This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models. The focus is on providing architectural guidance, supporting the adoption of AWS services, and acting as a technical advisor to help startups build scalable, reliable, and secure solutions. | ServePost-train | 7 |
| Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs Senior Software Engineer role focused on building and optimizing the AWS Neuron compiler for AWS Inferentia and Trainium chips. The role involves transforming ML models (PyTorch, TensorFlow, JAX) into optimized implementations for deep learning workloads, with a focus on large language models and vision transformers. Responsibilities include compiler optimization, working with chip architects, and contributing to open-source communities. | Serve | 7 |
| Principal, Solutions Architect - Media, Entertainment, Games & Sports , Solutions Architecture - AWSI-MEGS Direct Accounts This role is for a Principal Solutions Architect focused on the Media, Entertainment, Games, and Sports (MEGS) vertical within AWS. The primary responsibility is to act as a strategic technical leader, driving long-term thought leadership, identifying high-value opportunities, and positioning AWS as a transformational partner for strategic customers. The role involves operating at the C-suite and VP level, advising senior technology leaders on cloud strategy and architecture, and designing scalable solutions for media, gaming, streaming, and sports workloads. A significant focus is on leveraging innovations in data patterns and AI, including Generative AI, to help customers re-imagine and transform existing systems. The role also involves evaluating new technologies, building reusable frameworks, and influencing AWS roadmaps based on customer needs. Experience with Data & AI technologies, including AI/ML and GenAI, is required, along with a strong background in cloud solutions architecture and customer-facing technical roles. | Agent | 7 |
| Senior Applied Scientist, Full-funnel Agentic Intelligence and Models Senior Applied Scientist role focused on developing core machine learning models for Full Funnel Campaigns in Amazon Advertising, aiming to understand and optimize shopping journeys across various ad products and publishers. Requires experience in building ML models for business applications and deep learning methods. | Agent | 7 |
