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 |
|---|---|---|
| Software Dev Engineer II, Prime MG Tech - Customer Experience Engineering Software Development Engineer II role focused on building an AI-native framework for customer experience engineering within Amazon Prime. The role involves designing and developing Agentcore infrastructure, multi-agent orchestration, and autonomous experimentation capabilities, aiming to compress CX development timelines using GenAI workflows and human-in-the-loop validation. | Agent | 7 |
| Senior Video Compression Development Engineer, AWS Elemental, Elemental Video Engine Senior Software Development Engineer focused on video compression, responsible for writing code to process customer video and metadata. The role involves working on video technologies like VVC, AV1, HEVC, AVC, high dynamic range video, and enhancement filters. A key aspect is utilizing ML and Generative AI to solve new problems, improve video quality, enable new use cases, and enhance compute performance of video processing. The engineer will also design and implement improved video filters and contribute to home-grown video encoders. |
| Serve |
| 7 |
| Applied Scientist, Personalization, Personalization Seeking an Applied Scientist to build Amazon's next-generation customer memory and personalization systems. This role involves designing and building ML and LLM-powered solutions for extracting, validating, and applying customer knowledge in production systems, focusing on areas like fact extraction, memory quality, temporal reasoning, and grounded personalization. The work operates at scale, balancing quality, latency, and coverage, and requires end-to-end ownership from problem formulation to production deployment. | AgentPost-train | 7 |
| Sr. AI Process Engineer, Seller Compliance Senior Process Engineer to lead AI-driven engineering initiatives in the Compliance domain, focusing on designing, building, and operating AI-powered solutions to improve Seller compliance outcomes and operational efficiency. Requires deep hands-on expertise in AI/ML development, building, deploying, and scaling production-grade AI systems, designing system architectures, building ML models and data pipelines, and driving technical collaboration. Must be proficient in Python, cloud platforms (AWS), and ML operations, with experience in compliance or regulatory domains preferred. | Serve | 7 |
| Pr. Delivery Consultant, AWS Professional Services Lead a landmark Agentic AI-powered application modernisation program for a large mining and resources company, transitioning GenAI prototypes to production. This role involves strategic leadership, executive stakeholder management, and orchestrating a cross-functional team to modernize a complex legacy platform using generative and agentic AI. | Agent | 7 |
| Applied Scientist II, US Prime and Marketing Tech The Discovery Tech team at Amazon is seeking an Applied Scientist II to build and optimize critical services for marketing and merchandising using machine learning models. The role focuses on developing data-driven, scalable ML solutions for product recommendation to enhance customer experience and enable intelligent marketing campaigns. | Ship | 7 |
| Sr. AI Process Engineer, Seller Compliance Senior Process Engineer to lead AI-driven engineering initiatives in the Compliance domain, focusing on designing, building, and operating AI-powered solutions to improve Seller compliance outcomes and operational efficiency. Requires deep hands-on expertise in AI/ML development, building, deploying, and scaling production-grade AI systems, designing system architectures, building ML models and data pipelines, and driving technical collaboration. Must be proficient in Python, cloud platforms (AWS), and ML operations, with experience in compliance or regulatory domains preferred. | Serve | 7 |
| Delivery Consultant, AWS Professional Services Seeking a hands-on Senior Consultant with deep software engineering, Generative AI, and cloud architecture expertise to deliver complex technical consulting engagements within AWS Professional Services. The role involves designing and building end-to-end applications powered by Generative AI, including agentic development and AI-assisted software development. | Agent | 7 |
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on designing and executing experiments to measure the effectiveness of marketing campaigns at Amazon scale. The scientist will build measurement frameworks, apply causal inference methods, and establish experimental standards for lifecycle marketing, ultimately guiding marketing strategy and investment decisions. The role is within the consumer domain and involves scaling existing AI/ML applications. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building and designing next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models, including LLMs and GenAI, and leveraging AWS infrastructure for distributed systems at scale. | Ship | 7 |
| Solutions Architect, EdTech Strategic ISVs Solutions Architect for EdTech ISVs, focusing on architecting and scaling generative AI and agentic systems on AWS, with a strong emphasis on data foundations and privacy-sensitive education environments. The role involves guiding customers from prototypes to production systems, ensuring compliance with regulations like FERPA and COPPA. | AgentServe | 7 |
| Software Development Manager, Amazon Rufus This role is for a Software Development Manager at Amazon, focused on building a new generative AI-powered shopping and search experience. The goal is to create intuitive, conversational interfaces that synthesize complex information and provide trustworthy recommendations, aiming to make AI shopping a major business pillar for Amazon. The role involves leading engineers, scientists, and product leaders to innovate and deliver AI products at scale. | Ship | 7 |
| Senior Data Engineer, Amazon Customer Service Senior Data Engineer role focused on building and maintaining data infrastructure for AI/ML and LLM-based systems, specifically agentic workflows and RAG architectures. The role involves designing data pipelines, vector databases, embedding pipelines, and developing observability/evaluation pipelines for LLM features. | AgentData | 7 |
| Applied Scientist, Advertising The role focuses on designing and implementing deep learning models for ad matching in Amazon's programmatic advertising products. It involves optimizing ad selection based on customer behavior and contextual information to predict conversion propensity, ultimately driving better campaign outcomes for multi-billion dollar businesses. The work impacts high-throughput production systems and requires collaboration with engineers and product teams. | Ship | 7 |
| Software Development Engineer II, Project Dawn Software Development Engineer II role focused on building and owning end-to-end generative AI-powered systems for Amazon's customer-facing shopping experiences, including offer extraction, product enrichment, and AI-powered selection tools. The role involves designing, developing, and maintaining services leveraging LLMs and deep learning models at internet scale, collaborating with scientists, and leading technical strategy for data enrichment, model optimization, and evaluation. | ShipServe | 7 |
| Principal Technical Program Manager, WHS Data-Tech Principal Technical Program Manager for Amazon's Workplace Health & Safety Data-Tech team, focusing on AI and computer vision systems to prevent workplace safety incidents. The role involves owning program strategy, roadmap, and delivery, partnering with scientists and engineers to move research to production, and managing complex technical challenges across multiple teams. Requires deep fluency in AI/ML systems and experience in program management, software development, and cross-functional collaboration. | ShipServe | 7 |
| Sr. Applied Scientist, AWS Automated Reasoning This role focuses on automated reasoning within AWS, aiming to provide advanced and rigorous solutions for privacy and sovereignty. The scientist will solve complex problems, lead design and implementation of long-term impact solutions, and provide cross-organizational technical influence. The role involves developing strategic plans for new solutions and mentoring others. It's a unique opportunity to shape technology in a fast-growing segment of AWS. | Agent | 7 |
| Applied Scientist, AWS Automated Reasoning The Applied Scientist will focus on automated reasoning, privacy, and sovereignty within AWS, solving complex problems and driving innovation in these areas. The role involves strategic problem-solving, design, implementation, and delivery of long-term impact solutions, with a focus on influencing cross-organizational technical direction and mentoring others. The team operates in a fast-moving, start-up environment within AWS, aiming to build a high bar for automated reasoning across Amazon's products and services. | Agent | 7 |
| Sr. Solutions Architect – Engineering, Construction, Real Estate & Transportation & Logistics, ECRT Senior Solutions Architect for AWS ECRT team, focusing on driving adoption of AWS services, particularly AI/ML, Generative AI, and Agentic AI, within the engineering, construction, real estate, and transportation & logistics industries. The role involves crafting cloud architectures, acting as a customer advocate, and designing/prototyping solutions that leverage AI to address industry-specific challenges. | Agent | 7 |
| Software Development Engineer, FinTech - Machine Learning Software Development Engineer role focused on building machine learning applications for FinTech, specifically for transaction analysis, anomaly detection, and fraud prevention within Amazon's finance operations. The role involves developing ML pipelines, utilizing Generative AI and LLMs, and collaborating with scientists and business teams to drive efficiencies and insights at scale. | Ship | 7 |
| Professional Services III AMZ13646.13 This role focuses on building and deploying scalable ML/AI solutions within AWS, leveraging Big Data, AppDev, or DevOps experience. It involves close collaboration with Data Scientists and Data Engineers to deliver end-to-end solutions for customers, utilizing ML frameworks, algorithms, and cloud technologies. | ServeData | 7 |
| Senior Software Engineer, FinAuto - Receivables Tech Senior Software Engineer to architect, build, and operate GenAI/LLM-powered solutions for financial operations automation, focusing on AI-driven workflows and agentic patterns at Amazon scale. | Agent | 7 |
| Sr. Software Development Manager, GenAIUX This role manages a team building Generative AIUX products that transform how customers build new products using AWS services. The focus is on AI-powered tools leveraging Design Systems to build interfaces and accelerate workflows, specifically using generative and agentic AI for simplified AWS onboarding and management experiences. | Agent | 7 |
| Sr. Software Development Engineer, Amazon Pharmacy, Amazon Phamarcy Senior Software Development Engineer for Amazon Pharmacy's Supply Chain Engineering team in Bangalore. The role focuses on designing and developing ML-driven supply chain systems, including demand forecasting, procurement, placement, and planning. It involves working with large-scale datasets, production ML models, and distributed systems, with a strong emphasis on operational ownership and leveraging AI tools for development. | AgentData | 7 |
| Applied Scientist I, Amazon Shipping This role focuses on building and scaling large-scale forecasting and optimization systems for Amazon's global transportation network, impacting customer experience and cost. The scientist will guide model and system design using various ML techniques including deep learning and LLMs, ensure production readiness, and partner with stakeholders to drive decision-making and business metrics. | Ship | 7 |
| Sr Solutions Architect, Annapurna ML This role is for a Sr. Solutions Architect focused on AWS Machine Learning accelerators (Inferentia and Trainium). The individual will work with customers to develop and deploy Deep Learning models on these accelerators, acting as a trusted advisor and thought leader. Responsibilities include designing architectures, owning PoCs, driving adoption through technical engagements, and sharing best practices. The role bridges customer needs with engineering roadmaps and involves creating technical content for various audiences. | Serve | 7 |
| Sr. Specialist Solutions Architect, GenAI, AWS Senior Specialist Solutions Architect focused on GenAI for startups within the AWS ecosystem. This role involves technical thought leadership, customer interaction at executive levels, developing go-to-market strategies, and guiding startups on adopting AWS AI services for inferencing and agentic workloads. | Agent | 7 |
| Sr. Systems Dev Engineer, AI & Strategic Partner Engineering Senior Systems Development Engineer for AWS, focusing on building AI agents to manage SAP workloads on AWS, ensuring resilience and automating operational tasks. The role involves designing and owning back-end subsystems, customer-facing APIs, and leveraging both SAP and AWS AI services. | AgentServe | 7 |
| Applied Scientist, Amazon Music Applied Scientist role at Amazon Music focusing on building, training, and deploying ML models for customer experiences and business decisions. The role involves collaborating with scientists and engineers, experimenting with modern ML techniques, and implementing scalable data pipelines and model-serving systems. It's suitable for early-career individuals with a PhD or Master's degree and 3+ years of experience in building models for business applications. | Post-trainServe | 7 |
| Sr. Software Dev Engineer, AWS Healthcare AI Senior Software Development Engineer role at AWS Healthcare AI, focusing on building next-generation AI solutions for healthcare providers. The role involves system design, implementing distributed systems, and developing AI-powered healthcare solutions using generative and agentic AI to improve clinical and administrative workflows. | Agent | 7 |
| Software Development Engineer , Amazon Customer Service Software Development Engineer role focused on building and maintaining data infrastructure and ML platform infrastructure to support the complete AI model lifecycle, from development to production deployment, within Amazon Customer Service. | ServeData | 7 |
| Sr. Applied Scientist, WW Promotions Science This role focuses on applying and developing machine learning models for promotional strategies within Amazon's consumer-facing business. The scientist will invent, adapt, and implement new scientific approaches, models, and algorithms to personalize, recommend, rank, and optimize promotions, ultimately driving business decision-making and improving the customer shopping experience. The role involves research, implementation, and analysis of models deployed into production. | Ship | 7 |
| Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services Senior Full-Stack Software Development Engineer role focused on building end-to-end Generative AI applications and agentic systems for AWS customers. The role involves designing, developing, and deploying cloud-native applications using AWS services, with a strong emphasis on AI-assisted software development and agentic architectures. | Agent | 7 |
| Applied Scientist II, Vertical Search Relevance This role focuses on building and deploying machine learning models for Amazon's Product Search, specifically developing new ranking features and techniques. The scientist will be responsible for the full development cycle, from design and implementation to A/B testing and production deployment, aiming to improve search relevance and customer experience at scale. | Ship | 7 |
| Sr. Applied Scientist, Private Brands Intelligence - SCIT Science Sr. Applied Scientist role focused on building and deploying scalable ML models and optimization solutions for Amazon's Private Brands retail business. The role involves translating business requirements into concrete deliverables, working with large-scale datasets, and applying expertise in ML, Optimization, Statistics, Causal Inference, and Reinforcement Learning to drive business decisions and improve operations. Experience with distributed systems and Operations Research is highly valued. | Ship | 7 |
| Software Development Engineer - Maching Learning, Prime Video Personalization and Discovery Growth Software Development Engineer for Prime Video Personalization & Discovery Growth team, focusing on building and operating scalable measurement, attribution, and audience optimization systems that leverage AI/ML to connect customers with content and drive subscriber growth. The role involves designing and building services, data pipelines, integrating ML models, and impacting decisions for over 200M customers. | ShipData | 7 |
| Applied Scientist , Prime Video Personalization and Discovery Applied Scientist role at Amazon Prime Video focused on developing and launching end-to-end AI solutions for search and personalization systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves designing and conducting experiments, collaborating with engineers and product managers, and publishing research findings. | Ship | 7 |
| Software Development Engineer, Alexa Audio Software Development Engineer role focused on enhancing Alexa's audio experiences by integrating Generative AI, improving model accuracy, reducing latency, and building scalable API platforms. The role involves designing and delivering software features, creating infrastructure for LLMs in audio, and influencing operational excellence. | Serve | 7 |
| Software Development Engineer II, AWS AI & Strategic Partner Engineering Software Development Engineer II for AWS AI & Strategic Partner Engineering. This role focuses on building new capabilities and solutions for AWS customers and partners, leveraging AI-driven automation, Agentic AI, and LLM integrations. The engineer will design system architectures, prototype solutions using AI agents, and deliver integrations between partners and AWS services, with a focus on accelerating time-to-market for joint customer successes. | Agent | 7 |
| Applied Scientist, Amazon Robotics - Vulcan This role focuses on designing, implementing, and deploying motion planning, control, and manipulation algorithms for robotic systems in Amazon fulfillment centers. It involves both engineered and learned approaches, with a strong emphasis on sim-to-real deployment and validation on production systems at scale. The role contributes to learned manipulation behaviors and controllers, requiring production-quality code and scalable, real-time implementations. | ShipAgent | 7 |
| Software Development Engineer, AWS Marketplace AI Agents Software Development Engineer role focused on building backend services and APIs for AI agents to autonomously discover, negotiate, purchase, and consume software within AWS Marketplace. The role involves designing and implementing features for agent-to-agent transactions and programmatic software procurement, operating at the intersection of generative AI and commerce. | Agent | 7 |
| Software Development Engineer, Creative X Software Development Engineer role focused on building and evolving a scalable multi-agent generative AI application for ad placements at Amazon Ads, impacting billions of customers. The role involves designing evaluation frameworks, guardrails, and supporting diverse rendering environments and ad formats, working with LLMs for creative generation and real-time selection. | Agent | 7 |
| 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 |
| Applied Scientist, Ads Measurement Science Applied Scientist role at Amazon Ads focusing on measurement science, developing solutions for performance measurement products, sales impact analysis, and AI tools for customer insights and workflow automation. The role involves end-to-end ownership of measurement solutions, from design to production, leveraging Generative AI, classical ML, Causal Inference, NLP, and Computer Vision. | 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 |
| Senior Applied Scientist, FinAuto Senior Applied Scientist role focused on building and deploying machine learning models for fraud, theft, abuse, and waste prevention in financial transactions at Amazon. The role involves end-to-end ownership of business problems, from data analysis and model development to real-time implementation and maintenance, working closely with engineering and business teams. | Ship | 7 |
| Software - Optical Imaging Engineer, Advanced Manufacturing Engineering (AME) Senior Software Development Engineer to lead Optical AI & Algorithm development and integration into automated manufacturing systems for camera testing, including parametric measurements, calibrations, cosmetic inspections, and automation. | Agent | 7 |
| Delivery Consultant - AI/ML, Professional Services - AWS Industries This role focuses on designing, implementing, and deploying GenAI and ML applications for customers on AWS. It involves providing technical guidance, gathering requirements, and supporting model training, building, and deployment strategies. The role requires experience with AWS AI/ML services and hosting/deploying ML solutions, with a preference for deep learning experience. | ServePost-train | 7 |
| Delivery Consultant - AI/ML, Professional Services - AWS Industries This role focuses on designing, implementing, and managing AI/ML solutions on AWS for customers, with a strong emphasis on deploying these solutions. The consultant provides technical guidance, collaborates on model training and deployment strategies, and acts as a trusted advisor on AI/ML trends. The role requires experience in software development, cloud architecture, and specifically hosting/deploying GenAI/ML solutions. | ServePost-train | 7 |
| Delivery Consultant - AI/ML & Data Science, Professional Services - AWS Industries This role focuses on designing, implementing, and managing AWS solutions for customers, with a specific emphasis on GenAI and ML applications. The consultant will provide technical guidance, gather requirements, and propose strategies for model training, building, and deployment, acting as a trusted advisor on industry trends and emerging technologies. The role involves hands-on experience with deploying GenAI/ML solutions on AWS. | ServePost-train | 7 |
