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 |
|---|---|---|
| Senior Solutions Architect, GovTech ISVs Senior Solutions Architect focused on helping GovTech ISVs build and scale generative AI and agentic systems on AWS, with a strong emphasis on regulated environments. The role involves guiding technical strategy, architecture, and productionization of AI prototypes into robust, scalable applications. | Agent | 7 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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. 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Software Development Engineer, AGI - Web information retrieval Software Development Engineer to develop a multi-modal, multi-lingual web-scale information retrieval system combining LLMs with retrieval systems for question-answering, knowledge synthesis, and information grounding. Focus on building high-throughput data pipelines, optimizing core algorithms and ranking models, designing efficient data structures, optimizing performance/scalability/reliability, integrating ML models, developing control plane systems, and implementing real-time updates and streaming algorithms. | AgentServe | 7 |
| Applied Scientist III - AMZ9898584 Applied Scientist III role focused on designing, developing, evaluating, and deploying data-driven models and analytical solutions for ML and NL applications. This involves applying statistical modeling, optimization, and ML techniques, building and deploying models in production, and researching novel approaches. The role also includes mentoring junior staff. | Agent | 7 |
| Solutions Developer, Prototyping and Customer Engineering (PACE) Solutions Developer role focused on building prototypes and customer-facing solutions using AWS services, with a strong emphasis on Machine Learning, Agentic Design, and Generative AI. The role involves rapid development, experimentation with new technologies, and translating business problems into technical solutions. | Agent | 7 |
| Product Manager III, DSP Capacity Planning Product Manager to own the intersection of technology, partner experience, and operational strategy within DSP Capacity Planning. This role will build the team's AI product strategy from a blank canvas, own the roadmap for DSP-facing technology, and serve as the Voice of the DSP. The role requires a product leader who can drive alignment across engineering, science, operations, and business development. | Agent | 7 |
| Principal PMT-ES, Kiro Principal Product Manager for Kiro, an AI-powered software development environment focused on agentic systems. The role involves defining product vision, strategy, and go-to-market plans for innovative AI products, collaborating with engineering and science leaders, and working with customers to define operational excellence in the context of AI agents. | Agent | 7 |
| Sr. Software Development Engineer, Amazon Shopping (Rufus) Senior Software Development Engineer role focused on building and scaling agentic AI applications powered by large language models for the Amazon Shopping experience. The role involves architecting, designing, and developing back-end systems and online services, including service orchestration, agent frameworks, and real-time processing. It also includes contributing to the technical roadmap, service reliability, and optimizations for intelligent agents that reason, plan, and execute tasks. The team aims to improve search using large-scale foundation models and empower conversational applications for online shopping. | Agent | 7 |
| Sr. Software Dev Engineer, Healthcare AI Senior Software Development Engineer role in AWS Healthcare AI, focusing on building next-generation AI solutions for healthcare providers. The role involves designing and implementing distributed systems and AI-powered healthcare solutions, leveraging generative and agentic AI to improve clinical and administrative workflows. | Agent | 7 |
| Software Development Engineer, Prime Video Personalization & Discovery, Prime Video Personalization & Discovery Software Development Engineer role focused on developing AI solutions for Prime Video's personalization and discovery systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves building and guiding ML models end-to-end, leading cross-team collaboration, and conducting experiments to evaluate solutions. It also includes mentoring junior engineers and staying updated with the latest modeling techniques. | AgentPost-train | 7 |
| AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail This role is an AI/ML Solutions Architect focused on helping AWS customers design and adopt Generative AI and Machine Learning solutions on AWS. The role involves deep technical expertise in AWS AI/ML services, customer engagement, and acting as a liaison between customers and AWS service teams. The primary focus is on enabling customers to build and deploy AI/ML solutions, particularly GenAI, on the AWS platform. | Agent | 7 |
| ECAD Application Development Engineer, Design Technologies This role focuses on developing and customizing ECAD applications for hardware engineering teams, with a significant emphasis on integrating AI/ML technologies to enable intelligent automation, design review, and design generation within traditional CAD workflows. The engineer will collaborate with AI/ML teams to integrate LLMs and machine learning capabilities, develop custom workflows, and support engineering tools. | Agent | 7 |
| Sr. TPM - SF Agentic AI, Amazon Business GTM Sales Technology Technical Program Manager for Salesforce Agentic AI at Amazon Business, focusing on delivering GenAI and agentic automation programs to transform sales and account management operations. This role involves driving cross-functional alignment, translating business requirements into technical plans, evaluating integration architectures, and leading post-launch operations for AI-powered features. | Agent | 7 |
| Software Dev Engineer III, Conversational Ad Experiences Software Development Engineer III role focused on building conversational ad experiences using generative AI and LLMs for Amazon Ads. The role involves designing and developing new features, integrating AI solutions, pioneering conversational AI approaches, and creating scalable, low-latency systems. It requires strong software engineering skills and collaboration with science teams to implement LLM models in production and contribute to LLMOps. | Agent | 7 |
| Applied Scientist, WWOS Tech This role focuses on building and deploying ML models to detect theft, fraud, and organized crime within Amazon's global supply chain and operations. The scientist will own KPIs, automate detection, analyze operational defects, contribute to strategy, and integrate ML models into applications. The role requires a PhD or Master's with significant applied research experience in ML, particularly in fraud detection and organized crime. | Agent | 7 |
| Software Development Engineer II Software Development Engineer II at Amazon focused on building advanced robotics systems that integrate AI, control systems, and mechanical design for automation. The role involves developing a software framework for robot deployment, generalization, integration with large models and control techniques, and human-safe solutions. Key responsibilities include designing manipulation components, cloud/edge inferencing, real-time communication, and human-machine interfaces. | AgentServe | 7 |
| Applied Scientist, Ads Econ Applied Scientist role at Amazon Advertising focusing on building full life-cycle machine learning solutions, including scaling ad performance insights through agentic systems/LLMs. The role involves hands-on analysis, modeling with large datasets, productionizing ML models with engineers, running A/B experiments, and researching innovative ML approaches to drive monetization and sales for Amazon's advertising products. | Agent | 7 |
| Software Development Manager, Elastic Block Store (EBS), Capacity Optimization Software Development Manager for Amazon Web Services (AWS) Elastic Block Store (EBS) Capacity Engineering team. The role involves leading a team to invent and build a new capacity forecasting and planning platform using AI/ML, including machine learning models, algorithms, and agents, to automate capacity planning and purchasing for AWS data centers globally. The focus is on optimizing fleet servers, predicting demand, and balancing service, infrastructure, financial, and business constraints to support the rapid growth of AWS, especially driven by AI workloads. | Agent | 7 |
| Data Engineer, Ring Agent Platforms Data Engineer role focused on building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The role involves designing end-to-end data lifecycles and building multi-agent solutions to automate data engineering tasks. It also includes contributing to the shared data platform and AI/ML models. | AgentData | 7 |
| Sr. Software Development Engineer, Bedrock AgentCore Knowledge Bases Senior Software Development Engineer to lead design and implementation of distributed AI data pipelines and large-scale distributed systems for Amazon Bedrock Knowledge Bases, a RAG service. Focus on technical leadership, architecture, and balancing execution with long-term needs. | Agent | 7 |
| Sr. Software Development Engineer, Bedrock AgentCore Knowledge Bases Senior Software Development Engineer to lead architecture and design of AI data pipelines and large-scale distributed systems for Amazon Bedrock Knowledge Bases, a RAG service for enterprise data integration with FMs and agents. Focus on scaling services, innovating on Gen AI, and ensuring extensible, performant, and secure solutions. | Agent | 7 |
| Applied Science Manager, Prime Air Applied Science Manager leading a team focused on optimizing drone fleet mission planning and orchestration using ML/RL and geospatial data to maximize deliveries per hour. The role involves path planning, scheduling, system architecture, and cross-functional collaboration, with a focus on turning research into deployed features. | AgentData | 7 |
| Software Development Engineer III - Amazon Robotics, Autonomous Mobility, AMS Software Development Engineer III role focused on leading the technical direction for autonomous navigation stack components, including task planning, motion planning, and control for production robotics systems. The role involves architecting and implementing ML/AI-based systems, impacting thousands of robots, and working with state-of-the-art technologies in a scaling environment. | AgentData | 7 |
| 2026 Fall Applied Science Internship - Automated Reasoning - United States, PhD Student Science Recruiting PhD student internship focused on Automated Reasoning for cloud computing, involving research into novel approaches, development of solutions, and deployment into production. Expertise sought in theorem proving, SAT/SMT solvers, program analysis, and synthesis, with a potential link to ML/LLMs. | Agent | 7 |
| Applied Scientist, Agentic Automated Reasoning Group Applied Scientist role focused on building next-generation software verification tools by combining AI, cloud computing, and formal verification expertise. The role involves understanding customer needs, identifying tools and methods for verification, and exploring generative AI techniques for requirements formalization, test generation, and proof repair. | Agent | 7 |
| Software Development Engineer II - Amazon Robotics, Proteus AMR, Motion Software Development Engineer II role focused on task planning, motion planning, control, and navigation for autonomous mobile robots. The role involves developing generalizations for new environments and use cases, and integrating ML/AI-based systems into production robotics. It emphasizes working with state-of-the-art technologies, including agentic AI, and deploying code on a massive production fleet. | AgentData | 7 |
| Senior Machine Learning Engineer, GenAIUX Senior Machine Learning Engineer focused on building Generative AIUX products for AWS customers, transforming design-driven development. The role involves integrating with LLMs, optimizing AI-driven interfaces, and owning end-to-end GenAI-powered services for design generation, validation, and automation. Experience with agentic orchestration is preferred. | Agent | 7 |
| Senior Software Development Engineer , AWS Commercial Application Services Senior Software Development Engineer role within AWS Commercial Application Services focusing on building cloud infrastructure for enterprise applications, specifically SAP workloads. The role involves leveraging Agentic AI and Generative AI to enhance operational efficiency, redefine cloud computing, and create new capabilities for customers. It requires designing and scaling mission-critical services, influencing product strategy, defining system architecture, and ensuring customer needs are met through AI-driven solutions. The position emphasizes building large-scale distributed systems integrated with AI capabilities. | Agent | 7 |