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 Delivery Consultant – Modernization, Professional Services, AWSI HCLS Senior Delivery Consultant for AWS Professional Services focusing on Healthcare and Life Sciences (HCLS) transformation programs. The role involves defining and owning the technical vision across AI/ML, data platform modernization, and enterprise architecture. Key responsibilities include establishing enterprise architecture, providing executive technical advisory, driving cross-team alignment, architecting AI/ML and data solutions, and transforming delivery models using AI-native methodologies and multi-agent systems. | AgentServe | 7 |
| Sr. Applied Scientist- P13N Amazon is seeking an Applied Scientist to build next-generation ML systems for personalization in their e-commerce platform. The role involves applying state-of-the-art science and research, including Generative AI, LLMs, transformers, sequence models, and reinforcement learning, into production to enhance customer shopping experiences. The scientist will work on large-scale machine learning systems, leverage petabytes of data, and contribute to the science roadmap of personalization. |
| Ship |
| 7 |
| Machine Learning Engineer, AICE - AI Center of Excellence Machine Learning Engineer at Amazon's AI Center of Excellence (AICE) responsible for the end-to-end development and deployment of AI/ML primitives that power Amazon's intelligent systems. This role involves ideation, experimentation, architecture, implementation, testing, and production deployment of reusable AI capabilities for enterprise-wide consumption, with a focus on reliability, scalability, and operational excellence. | Ship | 7 |
| Software Development Engineer, Health & Wellness, Health Tech Software Development Engineer role focused on architecting and implementing ML systems for health initiatives, integrating genomic, proteomic, and clinical data. The role involves building high-throughput pipelines, low-latency inference services for biological foundation models, and productionizing ML models for tasks like neoantigen prediction, with a strong emphasis on collaboration with researchers and biologists in an early-stage environment. | ServePost-train | 7 |
| Software Dev Engineer II, Enterprise Security Products Software Development Engineer II role focused on building AI-powered security products for enterprise customers. The role involves owning the full lifecycle of large-scale, multi-tiered distributed systems, leveraging agentic AI development practices, and engineering end-to-end full-stack experiences. Key responsibilities include designing and implementing intelligent systems like agentic architectures and conversational interfaces, using AI tools to accelerate development, and partnering with researchers and product managers. The team emphasizes startup speed with Amazon scale, building AI and building with AI. | Agent | 7 |
| Delivery Consultant- AI/ML, WWPS ProServe Delivery Team This role focuses on designing, implementing, and scaling AI/ML solutions for enterprise customers on AWS, with a strong emphasis on generative AI. The consultant will work with customers to identify use cases, select, fine-tune, and deploy models, and optimize performance. The role involves a blend of customer advisory, technical implementation, and solution architecture. | ShipPost-train | 7 |
| Sr. Applied Scientist, Silk Senior Applied Scientist role at Amazon Silk team focused on building AI-powered browsing experiences. This role involves defining and developing the future of web browsing using LLMs, generative AI, recommender systems, and NLP to create intelligent, personalized, and useful consumer software experiences. The position requires leading research, designing scalable AI solutions, driving data analysis, and collaborating with engineering teams to bring ML innovations to production, impacting millions of users. | Ship | 7 |
| Principal Technical Program Manager, Ad Measurements Science This role is for a Principal Technical Program Manager at Amazon Ads, focused on driving AI initiatives within the Ads Measurement Science team. The role involves managing large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems, with a focus on AI tools like an Analyst Agent and a Customer Journey Model. The TPM will work across Product, Science, and Engineering to ensure successful execution and delivery of these strategic initiatives. | Agent | 7 |
| Software Development Engineer, Ring AI Software Development Engineer on the AI Infrastructure Team at Ring, focusing on cloud services for machine learning operation pipelines that handle large-scale data and enable rapid model development and optimization. | Data | 7 |
| Applied Scientist II, Central Machine Learning The Applied Scientist II role focuses on building and deploying machine learning models for Amazon's consumer businesses. Responsibilities include analyzing large datasets, designing, developing, evaluating, and deploying scalable predictive models, and implementing novel ML approaches. The role involves collaborating with engineering teams for real-time implementation and establishing automated processes for model development and validation. The position requires a PhD or Master's degree with significant experience in ML and programming, and a track record of patents or publications. | Post-trainServe | 7 |
| Senior Applied Scientist, International Machine Learning This role focuses on building and deploying machine learning models for consumer business applications within Amazon's International Machine Learning team. The scientist will analyze large datasets, design, develop, evaluate, and deploy scalable predictive models, and work with engineering teams to implement these models in production. The role also involves establishing automated processes for model development and maintenance, and mentoring other scientists and engineers. | ShipServe | 7 |
| Data Scientist II, FinAuto This role focuses on building and deploying machine learning models for fraud, theft, abuse, and waste detection in financial transactions within Amazon's FinAuto team. It involves research, development, and implementation of novel ML approaches, partnering with engineering teams for production deployment, and mentoring other scientists. | Agent | 7 |
| Partner Solutions Architect, Agentic Business Processes, AWS Partner Field EMEA Partner Solutions Architect focused on Agentic AI, working with AWS partners across EMEA to help them build and deliver AI agent solutions that automate and augment complex workflows. This involves enabling partners on Agentic Orchestration, Amazon Bedrock, and Frontier Agents, and guiding them through the Agentic Process Transformation (APT) methodology. | Agent | 7 |
| Principal Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries This role focuses on designing, implementing, and delivering Generative AI and Machine Learning solutions for enterprise customers on AWS. The consultant will act as a trusted advisor, guiding customers through the entire project lifecycle, from requirements gathering and strategy to deployment and optimization, with a strong emphasis on producing custom AI-native deliverables and leveraging AWS AI/ML services. | ShipServe | 7 |
| Senior Delivery Consultant – Data , ProServe EMEA This role focuses on designing and implementing modern data platforms, architecting data pipelines, and building enterprise RAG architectures, vector stores, semantic ontologies, and knowledge graph architectures. The goal is to create AI-ready data assets that support downstream consumers like ML model training and agentic AI systems, specifically within regulated healthcare and life sciences environments. | DataAgent | 7 |
| Data Scientist, Network Fabric Engineering Data Scientist role focused on defining and driving the data science strategy for network operations automation, including agentic systems. The role involves defining metrics, building risk and reliability models, and evaluating the performance of automation and AI systems to improve network availability. It emphasizes statistical rigor and evidence-based decision-making within a team of network and software engineers. | Eval GateAgent | 7 |
| 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. | 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, 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
