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 |
|---|---|---|
| Forward Deployed AI Integrator , Field Engineering This role focuses on integrating AI-assisted workflows within regional Field Engineering teams at AWS. The Forward Deployed AI Integrator will identify opportunities, drive adoption of AI tools, and convert experiments into repeatable standards, aiming to deliver measurable productivity outcomes. It's a hands-on execution role measured by transformed workflows and engineering hours saved. | Agent | 7 |
| Software Development Engineer, Amazon Software Builder Experience (ASBX) - GenAI Tools Software Development Engineer II role focused on building the platform and infrastructure for AI agents and skills within Amazon's builder experience. The role involves designing and developing scalable services, APIs, and systems for agent access to internal resources, and implementing benchmarking and prompt trace analysis for quality improvement. The goal is to integrate GenAI into the daily workflows of thousands of Amazon engineers. |
| 7 |
| Applied Scientist, Silicon and Systems Group Edge AI Research Scientist role focused on developing novel evaluation methods for multimodal language models and agents for consumer devices. This involves creating and validating automated evaluation techniques, analyzing datasets to understand model gaps, and collaborating with training teams. The role emphasizes hardware-software integration for efficient model training and deployment on edge devices. | Eval GatePost-train | 7 |
| AI Solution Architect AWS seeks an AI Specialist Solution Architect to guide customers in adopting GenAI/ML and Agentic technologies, focusing on converting AI ambitions into scalable production programs. The role involves building technical relationships, recommending architectures, and creating technical content. | Agent | 7 |
| Software Development Manager, Healthcare AI Software Development Manager for AWS Healthcare AI, leading teams to build innovative AI-powered healthcare solutions using generative and agentic AI to transform clinical and administrative workflows. Focus on improving patient care and operational efficiency. | ShipAgent | 7 |
| Applied Scientist II, SCOT OSS - Sourcing Execution & Performance This role focuses on building agentic GenAI workflows for supply chain optimization, specifically for vendor coaching, evaluation, and collaborative inventory planning. It involves developing and deploying algorithms, collaborating with engineering teams on training and inference pipelines, and driving technical standards. | Agent | 7 |
| Applied Scientist, Pricing Science Applied Scientist role focused on developing and launching customer-obsessed improvements to pricing algorithms for billions of Amazon products, leveraging large-scale multi-modal datasets and predictive modeling, causal evaluation, and optimization techniques. | Ship | 7 |
| Applied Scientist, Amazon Precision Match The Applied Scientist will design, develop, and optimize ML-based matching algorithms for a high-scale customer service routing system. This involves feature engineering, running simulations and A/B tests, building real-time inference systems, and developing retraining infrastructure. The role focuses on connecting customers with the best service options using recommendation and real-time ML inference techniques. | AgentServe | 7 |
| Software Development Manager, Traffic Quality Software Development Manager for Amazon Ads Traffic Quality team, focusing on detecting sophisticated invalid traffic (IVT) using deep learning, generative modeling, and anomaly detection. The role involves defining engineering vision, overseeing production code development for billions of ad requests, and collaborating with scientists and product managers to solve complex detection problems at scale and under strict latency constraints. | AgentData | 7 |
| Principal Software Development Engineer, AWS Mantle Principal Software Development Engineer for AWS Mantle team, focusing on building and scaling a distributed inference engine for foundation models on Amazon Bedrock. The role involves defining technical vision, owning system design, influencing strategy, and ensuring high performance, reliability, and security for millions of customers. | Serve | 7 |
| Software Development Engineer, Amazon Software Builder Experience (ASBX) - Agentic Conversations Software Development Engineer II role focused on building the infrastructure layer for managing agentic conversations and AI capabilities at Amazon scale. This involves designing and building scalable platform services for AI skills, agents, and tool integrations, developing APIs for autonomous agents, and creating systems for measuring agent quality and driving improvements. | Agent | 7 |
| Software Development Engineer II, Intelligent Cloud Hosting (ICON) Software Development Engineer II on the Intelligent Cloud Hosting (ICON) team at Amazon, responsible for building AI-powered incident response systems that automate incident investigation and mitigation recommendations for Amazon's cloud infrastructure. The role involves designing and building generative AI workflows, working with AWS services, and developing operational tooling at massive scale. | Agent | 7 |
| Software Development Engineer II, Intelligent Cloud Hosting (ICON) Software Development Engineer II on the Intelligent Cloud Hosting (ICON) team at Amazon, responsible for building AI-powered incident response systems that automate incident investigation and mitigation recommendations for Amazon's cloud infrastructure. The role involves designing and building generative AI workflows, working with AWS services, and developing operational tooling at massive scale. | Agent | 7 |
| Senior Applied Scientist, Sponsored Products and Brands -- Offsite Senior Applied Scientist role focused on building and launching end-to-end AI solutions for Sponsored Products and Brands, specifically extending campaigns beyond the Amazon store to third-party environments. The role involves designing and implementing large-scale, low-latency systems using advanced ML and AI, conducting A/B experiments, and identifying opportunities for GenAI acceleration. It also includes defining science vision, mentoring junior scientists, and staying updated on the latest modeling techniques. | Ship | 7 |
| Principal Product Mgr - Tech, Alexa 3P Experiences Principal Product Manager - Tech for Alexa+ 3P Experiences, focusing on defining the vision, roadmap, and features for conversational AI experiences leveraging LLMs and spoken language technologies. The role involves enabling internal teams and external partners to create engaging Alexa experiences, with a strong emphasis on developer platforms and ecosystems. The goal is to expand third-party capabilities on Alexa+ at massive scale. | Agent | 7 |
| Sr. Data Scientist , Companion Product & Servi (ComPAS) Senior Data Scientist to build advanced ML models and AI-powered tools for pricing, marketing, and consumer science within Amazon's Companion Products & Services portfolio. The role involves full model lifecycle ownership, leveraging generative AI and LLMs to automate insights and workflows, and designing experiments to measure impact. The goal is to create intelligent, self-improving systems for decision science at scale. | Agent | 7 |
| Analytics Solutions Architect Specialist Solutions Architect focused on designing and building agent-ready data platforms that leverage generative AI, RAG, semantic search, and real-time streaming for customers. The role involves providing best practices, designing reference architectures, and influencing service roadmaps. | AgentData | 7 |
| Senior Customer Solutions Manager, Aerospace and Satellite This role is for a Senior Customer Solutions Manager at Amazon Web Services (AWS) within the Aerospace & Satellite team. The primary focus is to act as a trusted advisor to senior stakeholders in aerospace and satellite organizations, guiding them on cloud technology and AI adoption to accelerate their missions. The role involves leading complex customer engagements, driving strategic execution of cloud adoption roadmaps, and accelerating value through modernization, generative AI, and agentic AI. It also includes enabling customers for responsible AI adoption and navigating ambiguity in dynamic situations. The role emphasizes understanding customer goals and driving end-to-end execution across AWS teams to deliver business outcomes. | Agent | 7 |
| Senior Deep Learning Architect, AWS Gen AI Innovation Center Senior architect role focused on designing and implementing generative AI solutions for AWS customers, with a strong emphasis on customer interaction, solution scaling, and best practices. | Agent | 7 |
| Senior Healthcare & Life Sciences Solutions Architect, HCLS This role focuses on designing and implementing cloud architectures for Healthcare & Life Sciences customers, with a significant emphasis on leveraging AI/ML and Generative AI. The Solutions Architect will build prototypes, proofs of concept, and reference architectures, and educate customers on AWS capabilities. The role requires staying current on emerging AI/ML technologies and translating that knowledge into actionable guidance. | Agent | 7 |
| Ingénieur en machine learning/Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI This role involves designing, implementing, and managing end-to-end AI/ML and Generative AI solutions for enterprise clients on AWS. The engineer will prepare data, develop models, deploy solutions, and architect scalable ML pipelines and MLOps using AWS services, focusing on delivering business value through AI adoption. | ShipServe | 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. Manager, Software Development, AWS Mantle Senior Manager, Software Development to lead multiple engineering teams building AWS Mantle, a next-generation distributed inference engine for Amazon Bedrock. The role involves owning technical and organizational strategy, building high-performing teams, and driving the delivery of globally distributed AI infrastructure. | Serve | 7 |
| Applied Scientist, Sponsored Products and Brands Applied Scientist role focused on developing and deploying generative AI solutions for Amazon's Sponsored Products and Brands advertising business. The role involves building monetization and optimization systems, defining science roadmaps, conducting A/B experiments, and staying updated on the latest modeling techniques. Requires experience in building models for business applications and digital advertising technology. | Ship | 7 |
| Sr. Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering This role focuses on building and operating AWS cloud infrastructure for AI training and inference, specifically targeting generative AI and large language models. The engineer will be responsible for designing, delivering, and optimizing server hardware and software systems to enable high performance and scalability for AI/ML workloads, with a focus on price-performance improvements. The role involves creating automation through agentic workflows and implementing AI-driven tools to enhance engineer productivity and influence AI implementation and core architecture. | Serve | 7 |
| Applied Scientist, WHS Data-Tech Applied Scientist role focused on developing and deploying computer vision and ML models for workplace safety applications in industrial settings. The role involves designing, training, and productionizing models for tasks like activity recognition, anomaly detection, and risk prediction using video, image, and sensor data. Collaboration with software engineers for deployment and optimization is key, with a focus on real-world impact and measurable safety outcomes. | ShipServe | 7 |
| Senior Applied Scientist , Sponsored Products Senior Applied Scientist role focused on leveraging generative AI and ML to revolutionize advertising experiences within Amazon Ads. The role involves leading full lifecycle ML projects, from research and development to deployment and scaling, with a focus on enhancing customer shopping experiences and driving business monetization through predictive modeling, reinforcement learning, and experimentation. | Ship | 7 |
| 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 |
| Head of Learning Architecture, AWS Training and Certifications This role leads the Learning Architecture team at AWS Training & Certification, focusing on building the knowledge layer for AI agents that power personalized learning experiences. The team owns strategy, roadmap, and execution for systems like persona frameworks, skills, assessment architecture, and quality rubrics. The role involves managing a team of Learning Architects and collaborating with Applied Science and Engineering to define AI capabilities, drive quality at scale through a Quality & Rubric Engine, and govern the AWS skill taxonomy. Experience in people management and building products with Agentic AI is required. | AgentEval Gate | 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 |