Currently tracking 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Amazon currently has 1575 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (8). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1022 roles), Canada (59 roles), United Kingdom (49 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 732 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Principal Software Development Engineer, AWS Mantle Principal Software Development Engineer for AWS Mantle team, focusing on the distributed inference engine that powers Amazon Bedrock. The role involves defining and executing technical vision for large-scale, ambiguous challenges at the intersection of ML systems, distributed computing, and security, shaping how foundation models are accessed globally. Key responsibilities include setting technical direction, owning system design, influencing engineering strategy, and mentoring senior engineers. | Serve | 7 |
| Sr Software Development Engineer, Brand Store Shopping Experience Senior Software Development Engineer to build GenAI-powered, agentic shopping experiences on Amazon Brand Stores, integrating conversational AI with traditional browsing. The role involves providing technical leadership, designing and delivering GenAI capabilities, building systems for accuracy and safety, owning scalable low-latency systems, partnering with applied scientists to productionize models, and establishing evaluation frameworks. The focus is on end-to-end ownership from architecture to production operation. |
| AgentServe |
| 7 |
| Applied Scientist, Tallent Intellgience This role focuses on building and deploying AI systems and machine learning models to optimize Amazon's global campus recruiting process. Key responsibilities include developing models for school recommendations, talent supply projections, and matching candidates to requisitions. The role involves creating data-driven models for sourcing strategies and recruiter decision-making, developing supply forecasting and school ranking algorithms, and leading the development of AI systems for automation and strategy recommendations. It also includes planning and implementing controlled experiments to test and optimize these systems. | AgentData | 7 |
| Sr. Data Analytics SA, WWSO This role focuses on designing and building "agent-ready" data platforms that enable AI agents to autonomously search, process, and analyze data. It involves advising customers on modern data strategies including RAG, semantic search, and natural language data exploration, while also leveraging traditional data analytics, search, and streaming services. The role requires deep technical expertise in the data lifecycle and adjacent domains like ML and security, with a strong emphasis on cloud-native and generative AI-native reference architectures. | AgentData | 7 |
| Senior AI Solution Architect This role is for a Senior AI Specialist Solutions Architect at AWS, focusing on helping customers adopt and scale GenAI/ML and Agentic technologies. The architect will build technical relationships, provide architectural guidance on security, cost, performance, and operational efficiency, and act as a voice of the customer internally. Responsibilities include crafting scalable architectures, creating technical content, and leading deep dives and workshops. The role requires experience in designing and implementing production AI systems, including LLMs, multi-modal FMs, fine-tuning, inference, RAG, FM evaluation, Vector DBs, Agentic workflows, and MLOps, with hands-on experience in AWS ecosystems like Bedrock, AgentCore, and SageMaker. Experience in regulated environments is preferred. | Agent | 7 |
| Senior AI/ML Solution Architect, ANZ Public Sector Senior AI/ML Solution Architect for ANZ Public Sector, focused on driving customer adoption of AI/ML services, including agentic and traditional ML, and MLOps best practices. The role involves deep technical engagement, helping customers modernize their AI/ML practices and build AI-driven solutions. | AgentData | 7 |
| Sr. Application Architect This role focuses on designing and building AI-integrated applications and re-engineering existing applications to leverage AWS Cloud services. The Sr. Application Architect will guide customers through the AI Development Life Cycle, design Generative AI and Agentic AI architectures, and advise on responsible AI practices. The role involves working with AWS AI services like Bedrock, SageMaker, and Amazon Q, and emphasizes cloud-native application development. | AgentServe | 7 |
| Cloud Security Architect This role focuses on securing AI/ML workloads, including Generative AI, LLMs, and agentic AI systems, for AWS customers. The Cloud Security Architect will assess and mitigate security risks, design security architectures with guardrails and access controls, and advise on responsible AI governance. The role requires strong programming skills and experience with AWS security services, as well as a growing proficiency in securing AI applications, RAG pipelines, and agentic systems. | Agent | 7 |
| Software Development Engineer, Amazon Pharmacy, Amazon Phamarcy Software Development Engineer role at Amazon Pharmacy focusing on building ML-driven supply chain systems. Responsibilities include system design, development, operational ownership, and collaboration, with an emphasis on productionizing ML models for demand forecasting, procurement, and inventory placement. The role involves working with large-scale datasets, distributed systems, and operations research techniques within a regulated healthcare environment. | ServeData | 7 |
| Software Development Engineer, Amazon Pharmacy, Amazon Phamarcy Software Development Engineer role at Amazon Pharmacy focusing on building ML-driven supply chain systems. Responsibilities include system design, development, operational ownership, and collaboration, with an emphasis on productionizing ML models for demand forecasting, procurement, and inventory placement. The role involves working with large-scale datasets, distributed systems, and operations research techniques within a regulated healthcare environment. | ServeData | 7 |
| Gen AI Solution Architect - FSI, FSI SA Solutions Architect for Financial Services & Insurance (FSI) customers in India, focusing on advising them on adopting and leveraging AWS cloud technology and GenAI. The role involves designing customer solutions, architecting solutions with AWS technology, serving as a thought leader, capturing and sharing best practices, identifying customer requirements, and acting as a trusted advisor. Requires experience in building large-scale AI/ML solutions, deploying LLMs in production, and hands-on experience with AWS AI/ML services like Bedrock, AgentCore, and SageMaker, including RAG implementation. Agentic AI expertise with multi-agent orchestration, tool use, memory, and guardrails is preferred, as is expertise in architecting AI systems in regulated environments. | AgentServe | 7 |
| Architecte IA/ML | AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services AWS Professional Services is seeking an AI/ML Architect to help public sector clients in Canada adopt and implement ML and Generative AI solutions. The role involves understanding business challenges, designing and building solutions using AWS ML services, and collaborating with engineering teams to bring them to production. Experience with ML/GenAI development, AWS ML services, and project lifecycle support is required. | AgentServe | 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 |
| Applied Scientist II, Detail Page Applied Scientist II role on Amazon's Product Detail Page team, focusing on developing and optimizing algorithms for customer experience on Amazon's website. This involves leveraging machine learning, NLP, and big data technologies to improve product discovery and pricing. The role requires building models for business applications, with opportunities to present to executives and work with senior scientists on technical standards. | Ship | 7 |
| Senior Software Development Engineer, Autonomous AI Security Senior Software Development Engineer to create autonomous AI security solutions for Amazon, leveraging AI/ML to automate threat detection, analysis, and remediation. The role involves architecting, designing, and developing these systems, building scalable applications, and mentoring a new team to enhance Amazon's security posture. | Agent | 7 |
| Principal Applied Scientist, Amazon Ads Management Principal Applied Scientist role at Amazon Ads Management focusing on developing and deploying ML solutions for full-funnel advertising campaigns. The role involves working with leadership on AI/ML strategy, adopting SOTA technologies, and shipping large-scale recommender systems. Requires significant applied ML experience and a track record of delivering customer-facing ML products. | Ship | 7 |
| Senior Deep Learning Architect, AWS Gen AI Innovation Center This role focuses on designing, implementing, and fine-tuning state-of-the-art Generative AI solutions for AWS customers, working directly with them to understand business problems and guide them towards production. It involves collaborating with AI/ML scientists and architects, creating best practices, and providing customer feedback to product teams. The role requires experience managing and deploying ML products, customer-facing engagement, and building/operating cloud solutions. | ShipPost-train | 7 |
| Data Scientist- Finance AI Transformation, Global FP&A Technology, GFT, Corp FP&A Data Scientist role focused on building AI capabilities for financial planning and analysis (FP&A) at Amazon. The role involves developing forecasting models and AI systems, including agents, to automate repetitive finance tasks. The models ship to production and influence key financial decisions like stock-based compensation and headcount planning. Responsibilities include applying data science methodologies, leading model lifecycles from research to production, conducting experiments, and partnering with stakeholders. | AgentPost-train | 7 |
| Software Development Engineer, WHS Data-Tech Software Development Engineer role focused on building and deploying AI and computer vision systems for workplace safety at Amazon. The role involves designing, developing, and maintaining production services, optimizing data pipelines, integrating ML model outputs, and collaborating with applied scientists to productionize models. It emphasizes end-to-end ownership from data ingestion to edge deployment and operational maintenance. | ServePost-train | 7 |
| Software Development Engineer, WHS Data-Tech Software Development Engineer to build AI and computer vision systems for workplace safety, focusing on real-time inference, ML model deployment at the edge, and integrating ML outputs into internal tools. The role involves end-to-end software development, from data ingestion to production services. | ServePost-train | 7 |
| Software Dev Engineer - Full Stack, GenAIUX The role focuses on building Generative AIUX products for AWS customers, specifically an AI-powered internal prototyping tool (Venue) and an external version (Arena). It involves integrating with LLMs, optimizing AI-driven interfaces, and designing end-to-end GenAI-powered services for design generation, validation, and automation. | Agent | 7 |
| Solution Architect - AI, Cross Industries This role focuses on helping enterprise customers adopt and implement Generative AI, Machine Learning, and Agentic technologies on AWS. The Solution Architect will act as a trusted advisor, building technical relationships, and crafting scalable architectures to address customer challenges. Responsibilities include guiding customers through GenAI/ML and Agentic projects, providing recommendations on various aspects of cloud architecture, advocating for customer needs internally, and creating technical content and best practices. The role requires hands-on experience with AWS AI services, LLM deployment, and RAG implementation. | Agent | 7 |
| Applied Scientist II, Secure Tool Foundations This role focuses on designing and building agentic AI systems for security automation within Amazon. The scientist will reason about code, produce security intelligence, and adapt AI/ML techniques to solve security problems, ultimately contributing to the development of secure software at scale. | Agent | 7 |
| Senior Sofware Development Manager, Core Shopping Senior Software Development Manager to lead a new 0→1 initiative focused on reinventing how customers discover, organize, and share across Amazon Lists, applying state-of-the-art AI. The role involves leading a team of engineers, transforming systems with AI-native development, owning technical strategy and delivery, and integrating Generative AI/LLM technologies. | ShipAgent | 7 |
| Software Dev Engineer II, AWS Web Toolkit, Platform Experience Software Development Engineer II for AWS User Experience Products & Platform team, focusing on building an intelligent, agent-powered system to automate and accelerate AWS Management Console development. The role involves designing and architecting a multi-agent system leveraging LLMs, tool-use, and autonomous reasoning to generate, validate, and deploy console experiences. | Agent | 7 |
| Senior Applied Scientist, Last Mile Senior Applied Scientist role focused on developing and optimizing machine learning models and algorithms for Amazon's Last Mile delivery network. The role involves building solutions for capacity management, system policies, and optimizing delivery operations, with a strong emphasis on operations research and analytical skills. Candidates will be responsible for end-to-end model development, from data analysis to production system implementation, and will also mentor junior scientists. | Ship | 7 |
| Builder Solution Architect, AWS Product Marketing Demo Engineering This role is for a Builder Solution Architect on the AWS Product Marketing Demo Engineering team. The primary responsibility is to design and implement production-quality technical demonstrations, sample code, and starter projects for AWS services, particularly focusing on Generative AI and Machine Learning. The role involves collaborating with various teams (field, GTM, service, cross-functional stakeholders) to understand use cases and develop demonstration solutions. The architect will also contribute to demo standards, best practices, and knowledge sharing through blogs and reference architectures. The role emphasizes software development skills to create showcases for new products and features, working in ambiguous environments and learning new concepts quickly. | Ship | 7 |
| Post-Silicon Systems Validation Engineer, Annapurna Labs This role focuses on validating next-generation machine learning accelerators for AWS cloud infrastructure. The engineer will be responsible for the complete vertical stack, from silicon to system-to-system interfaces, ensuring the quality and performance of AI/ML accelerators. This involves developing validation strategies, executing test plans, debugging hardware, and collaborating with various engineering teams throughout the product development lifecycle. | ServeAgent | 7 |
| Applied Scientist II, Amazon Private Brands Applied Scientist II role focused on building and deploying Generative AI and Machine Learning solutions for Amazon Private Brands' product assortment, pricing, and merchandising. The role involves adapting state-of-the-art research, inventing novel solutions, developing prototypes, and implementing production software, with a focus on agentic AI and large language models. Responsibilities include partnering with business stakeholders, adapting ML solutions, inventing and deploying novel science solutions, reviewing team's work, and publishing research. | Agent | 7 |
| Senior Robotics SDE III, Amazon Robotics - Vulcan Senior Software Development Engineer for Amazon Robotics' Vulcan program, focusing on motion behaviors for robotic manipulation. The role involves designing and building software infrastructure, observability tools, and ML training/deployment pipelines for production robot systems. It sits at the intersection of robotics, ML systems, and production engineering, requiring experience in C++, Python, and building reliable, scalable systems in complex real-time domains. | AgentServe | 7 |
| Delivery Consultant - AI/ML, AWS Professional Services WWPS Life Science This role is for a Delivery Consultant on the AWS Professional Services team, focusing on implementing end-to-end AI/ML and Generative AI solutions for enterprise customers in the life sciences industry. The consultant will design, implement, and manage AWS AI/ML and GenAI solutions, working closely with customers to understand their needs, architect scalable solutions, and ensure successful adoption. Responsibilities include data preparation, model development, deployment, monitoring, MLOps, and acting as a trusted advisor. | ShipServe | 7 |
| Applied Science Manager, Stores-Ads Science Applied Science Manager to lead a team focused on understanding and optimizing how advertising creates value for shoppers and selling partners, particularly as the shopping experience evolves towards agentic commerce. The role involves leading research, designing experiments, developing optimization algorithms, and translating research into production systems, with a strong emphasis on causal inference, economic modeling, and applied ML. | AgentData | 7 |
| Data Scientist, Network Fabric Engineering The Data Scientist will develop risk and reliability models for network availability using telemetry data, build operational analytics and dashboards, and design experiments to evaluate automation, including agentic systems. The role focuses on providing evidence for decisions, measuring outcomes of operational changes, and improving data quality for availability programs. | AgentEval Gate | 7 |
| Business Research Analyst, ARTS This role involves developing and implementing ML/LLM solutions for business needs within Amazon's Global Stores division. The analyst will collaborate with experts, drive product pilots, build scalable solutions, write code, develop ML/LLM models, and optimize solutions by coordinating between science and software teams. The role requires working independently in ambiguous, fast-paced environments with ML/LLM models. | Post-train | 7 |
| Software Development Engineer II, 3P Seller Tools and Gen AI Solutions, ISS Software Development Engineer II on the 3P Seller Tools and Gen AI Solutions team, building internal tools and external solutions powered by cloud computing and generative AI for 3P Sellers. The role focuses on agentic AI and distributed systems, creating new products and services from the ground up. | Agent | 7 |
| Data Scientist II, ROW AOP, Analytics Operations and Programs This role focuses on developing AI/ML products and scalable analytics applications for operations optimization. Key responsibilities include AI Agent development for data analytics, applying statistical and ML techniques, developing science-based Supply Chain solutions, and working with LLMs to automate processes. The role involves creating and maintaining data infrastructure for advanced analytics and ML solutions, with a focus on optimizing operations across various global regions. | AgentData | 7 |
| Sr Applied Scientist, Amazon Fulfillment Tech - Science Sr. Applied Scientist role focused on developing and deploying optimization, ML, and GenAI/LLM solutions for Amazon's fulfillment network. The role involves understanding operational processes, designing mathematical models, creating prototypes, partnering with engineers for production integration, and monitoring performance. Requires experience in building and deploying optimization and ML models at scale. | Ship | 7 |
| Senior Applied Scientist, AWS Automated Reasoning Senior Applied Scientist role at AWS focused on automated reasoning, privacy, and sovereignty solutions. The role involves solving complex problems, designing and implementing solutions with long-term impact, providing technical influence, developing strategic plans for new solutions, and mentoring others. Requires a Master's degree, programming experience, and experience with neural deep learning, machine learning, building ML models for business applications, and applied research. | Ship | 7 |
| Software Development Engineer, Alexa Audio Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences, aiming to improve model accuracy, reduce latency, and enhance customer features. The role involves designing, implementing, and delivering software, creating infrastructure for LLMs in audio, and influencing the operational roadmap for core audio services. | ServePost-train | 7 |
| Software Development Manager , EC2 Nitro This role leads a performance engineering group focused on optimizing ML infrastructure for EC2, covering diverse workloads like LLMs and multimodal models. The responsibilities include building and managing a team, driving architectural decisions, developing performance measurement infrastructure, and establishing regression coverage across the ML systems stack from low-level optimization to serving layers. | Serve | 7 |
| Data Scientist I, SCOT-Inbound, Planning Optimization This role focuses on developing and enhancing mathematical optimization models for supply chain planning, specifically for Amazon's North American network. It involves building intelligent agents using Agentic and Generative AI to automate planning workflows, make model outputs interpretable, and run network simulations. The role also includes collaborating with software engineering to productionalize models on AWS infrastructure and designing metrics for performance evaluation. | Agent | 7 |
| Software Development Engineer, AFT Quality Software Development Engineer role focused on building and improving automated, algorithmic solutions using machine learning, computer vision, and robotics to prevent, detect, and correct inventory issues in Amazon's fulfillment centers. The role involves building new software services and tools, designing production systems, and working with research scientists on next-generation intelligent systems. | AgentServe | 7 |
| Software Development Engineer, Sponsored Products Off-Search Homepage Team Software Development Engineer role focused on applying Generative AI and Large Language Models to enhance advertising experiences on Amazon's shopping surfaces at massive scale. The role involves designing, developing, and operating large-scale distributed systems, optimizing data pipelines, and collaborating with scientists and product managers to deliver personalized, context-aware advertising solutions. | Agent | 7 |
| Principal Transformation Strategist, AI Engineering This role focuses on helping AWS customers design, build, and productionize AI agentic systems using services like Amazon Bedrock and AgentCore. It involves direct customer engagements, developing reusable assets and open-source contributions, and influencing AWS service roadmaps. The role requires a blend of engineering, advisory, and product influence, with a strong emphasis on customer outcomes and responsible AI practices. | Agent | 7 |
| Sr Worldwide Specialist Solutions Architect, GenAI - Amazon Bedrock GTM, Bedrock GTM Senior Solutions Architect focused on Generative AI (GenAI) and Amazon Bedrock, responsible for designing and optimizing customer solutions, driving adoption, providing technical guidance, and acting as a liaison between customers and product teams. This role involves thought leadership, creating enablement materials, and building prototypes/PoCs for GenAI systems. | ShipPost-train | 7 |
| Sr. Prototyping Architect, AGS Security Engineering Senior Prototyping Architect for a new AGS Security Engineering team focused on building secure solutions and prototypes for customers adopting generative AI and agentic architectures. The role involves hands-on building of security capabilities, developing secure reference patterns, and enabling the broader field to build securely. It emphasizes working with emerging technologies and evolving secure engagement practices. | Agent | 7 |
| Software Development Manager, Worldwide Returns & ReCommerce This role is for a Software Development Manager on the Worldwide Returns & ReCommerce team at Amazon. The team builds AI and machine learning infrastructure for global reverse logistics, focusing on automating decision-making, maximizing financial recovery, and optimizing processing efficiency. The manager will lead teams in developing and deploying NLP, Computer Vision, and Classical ML models, as well as the associated infrastructure for model hosting, grading pipelines, and low-latency inference. | ServeData | 7 |
| Software Development Engineer , Amazon Core Search Software Development Engineer to work on improving Amazon Search using LLMs, NLP, ML, and DL technology. The role involves developing high throughput and low latency solutions for query-product matching at scale, with a focus on building products with LLMs/NLP/ML/DL at their core. | ServeAgent | 7 |
| Applied Scientist II, On Road Experience Applied Scientist II role focused on building machine learning models and algorithms for the Last Mile delivery experience, involving mapping, location, sensor data pattern detection, and computer vision. The role requires driving designs from ideation to production, with an emphasis on building v1 products autonomously. | Agent | 7 |
| Software Dev Engineer II, IDEAS Software Development Engineer II role at AWS focused on building foundational customer intelligence for go-to-market teams. The role involves designing and delivering solutions that combine distributed big data technologies and agentic AI development, with a focus on data ingestion, scalable systems, and ML-optimized data foundations for RAG, recommendation engines, and predictive models. The engineer will also work with inference capabilities and apply ML to solve data problems. | AgentData | 7 |
