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 11% 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 |
|---|---|---|
| Data Scientist I, Worldwide Product Compliance Data Scientist I role focused on developing and delivering core data science capabilities for AI-enabled operations, leveraging LLMs, Generative AI, and predictive analytics to solve complex operational problems within Amazon's global footprint. The role involves assessing solution approaches, designing extensible solutions, owning end-to-end data science projects, collaborating with cross-functional teams, and contributing to AI strategy and investment priorities. | Agent | 7 |
| Software Development Engineer, RDS Security Monitoring, RDS Security Monitoring Software Development Engineer role focused on building and operating agentic AI solutions for security monitoring of relational databases (Aurora and RDS) at massive scale. The role involves capturing and analyzing security telemetry to identify and mitigate threats, requiring strong distributed systems engineering skills and operational excellence. | Agent |
| 7 |
| Applied Scientist, NA Stores Expansion This Applied Scientist role focuses on building and deploying AI/ML models and LLM-powered systems for Amazon's North America Stores. The role involves developing workflows that combine ML models with optimization engines and human-in-the-loop capabilities, building scalable data and inference pipelines, and designing experimentation frameworks. The goal is to automate complex business processes and serve real-time predictions in production, impacting areas like supply chain, customer engagement, and inventory management. | AgentServe | 7 |
| Research Scientist, Operational Efficiency, AET Planning and Analytics Science Research Scientist role focused on building novel solutions for workforce optimization using operations research, causal inference, machine learning, and generative AI. The role involves designing simulation and optimization models for scheduling, hiring, and task assignment, developing causal inference frameworks, and collaborating with senior leaders to influence strategic decisions. The work directly impacts operational efficiency and employee experience at Amazon's global scale. | Agent | 7 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment Applied Scientist role at Amazon Prime Video focusing on building multi-modal machine learning technologies for content localization, understanding, and enrichment. The role involves applying state-of-the-art NLP and computer vision research, particularly with vision-language models and multimodal LLMs, to understand video content, including long-context understanding and causal reasoning across temporal sequences. The goal is to power next-generation video understanding and search capabilities for Prime Video. | Agent | 7 |
| Solutions Architect - NPO, Membership Account Team Solutions Architect II for AWS Worldwide Public Sector's US Nonprofit (NPO) team, focusing on the Membership sub-vertical. The role involves architecting, demonstrating, and accelerating AWS adoption for large nonprofit organizations. Key responsibilities include leading generative AI engagements on Amazon Bedrock (Knowledge Base, AgentCore, RAG, agentic AI, Responsible AI), modernizing contact centers with Amazon Connect, and building AI-driven analytics. The role also involves mentoring junior SAs and contributing to internal accelerators and demo-build programs. | Agent | 7 |
| Senior Applied Scientist, Linear Personalization Experience Team (LPEX) Senior Applied Scientist on the Linear Personalization Experience (LPEX) team at Amazon Prime Video. This role focuses on defining and driving the science strategy and roadmap for Linear TV personalization, designing, developing, and deploying ML models for content recommendation, viewer engagement optimization, and real-time personalization. The role involves owning the complete ML lifecycle, building and optimizing recommendation systems with strict real-time latency requirements, and partnering with software engineering teams for production deployment. The team is building next-generation, AI-powered personalization and recommendation systems. | AgentServe | 7 |
| Senior Software Engineer, Amazon Software Builder Experience (ASBX) - GenAI Tools Senior Software Engineer role focused on building the platform and infrastructure for AI agents and skills within Amazon's internal developer ecosystem. The role involves owning the technical direction, architecture, and roadmap for services that distribute AI capabilities, including authentication, context optimization, and quality systems. It emphasizes enabling autonomous agents to securely access internal resources and improving agent performance at scale. | Agent | 7 |
| ProServe Cloud Architect, AWS Professional Services, RCG and Pan-Amazon Strategy and Growth Cloud Architect for AWS Professional Services focusing on enterprise customers, with a specialization in AI/Agentic AI architectures and Retail/Consumer Goods (RCG) solutions. The role involves pre-sales, solution design, and collaboration across Amazon business units to drive SOW signings and successful implementations. | Agent | 7 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer to build industry-first conversational advertising experiences powered by LLMs on Amazon Search. This role involves shipping GenAI to hundreds of millions of shoppers, working at the intersection of Generative AI and advertising at Amazon's scale. Responsibilities include designing and developing new conversational ad experiences, building large-scale, low-latency distributed systems and ML infrastructure, partnering with scientists to implement and operationalize LLMOps, and building data pipelines for personalized, AI-driven advertising. | AgentServe | 7 |
| Manager, Business Intelligence, FBA Analytics Manager for a Business Intelligence team focused on building AI-powered analytics infrastructure and GenAI-enabled data products for FBA Inventory Optimization. The role involves leading a team, establishing technical standards, designing and building data/monitoring pipelines for AI-powered growth advisor products, architecting reusable data infrastructure, defining measurement frameworks for AI-driven experiences, and partnering with product/science teams on causal frameworks and attribution. The goal is to shift from traditional reporting to intelligent, AI-native data systems that deliver predictive insights and support AI agents. | AgentData | 7 |
| Software Dev Engineer II, Conversational Ad Experiences Software Dev Engineer II for Amazon Ads Conversational Ad Experiences team, focusing on generative AI and LLMs to revolutionize advertising. The role involves designing and building net new conversational ad experiences, integrating AI-driven solutions, and creating scalable systems for personalized ads. It requires strong software engineering skills, experience with large-scale distributed systems, and collaboration with science teams to implement LLM models in production and contribute to LLMOps. | Agent | 7 |
| Principal ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales This role focuses on designing and implementing agentic AI and generative AI solutions for healthcare and life sciences customers on AWS. The Principal ProServe Cloud Architect will partner with customers to understand their business objectives and translate them into innovative cloud and AI solutions, focusing on areas like clinical trial management, data operations, and regulatory submissions. The role involves technical advisory, solution design, and collaboration with various AWS teams to drive digital transformation and achieve customer business outcomes. | Agent | 7 |
| Software Development Manager - Advertiser Intelligence Center & Agent Context, Sales AI Software Development Manager to lead a team building an advertiser Intelligence Center (AIC) service, which serves as the contextual backbone for AI agents. The role involves owning the technical vision, people development, and delivery for systems that aggregate, structure, and serve advertiser context to agents, enabling AI-driven workflows. This is a greenfield leadership opportunity at the intersection of large-scale data systems, Generative AI, and production agent frameworks. | Agent | 7 |
| Software Dev Engineer II, Sales AI Software Development Engineer II for Sales AI at Amazon, focused on building the Advertiser Intelligence Center (AIC) service. This role involves designing and implementing systems that aggregate, structure, and serve advertiser context to AI agents, powering AI-driven workflows for sales teams. It's a greenfield opportunity at the intersection of large-scale data systems, Generative AI, and production agent frameworks. | AgentServe | 7 |
| Software Dev Engineer II, Sales AI Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, the contextual backbone for AI agents in Amazon Advertising. This role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. It sits at the intersection of large-scale data systems, Generative AI, and production agent frameworks, focusing on building context services for intelligent sales workflows. | AgentServe | 7 |
| Software Dev Engineer II, Sales AI Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, which acts as the contextual backbone for AI agents in Amazon Advertising. The role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. This is a greenfield opportunity to work at the intersection of large-scale data systems, Generative AI, and production agent frameworks. | AgentServe | 7 |
| Software Dev Engineer II, Sales AI Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, which acts as the contextual backbone for AI agents in Amazon Advertising. The role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. This is a greenfield opportunity to work at the intersection of large-scale data systems, Generative AI, and production agent frameworks. | AgentServe | 7 |
| Software Dev Engineer II, Sales AI Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, which acts as the contextual backbone for AI agents in Amazon Advertising. The role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. This is a greenfield opportunity to work at the intersection of large-scale data systems, Generative AI, and production agent frameworks. | AgentServe | 7 |
| Sr Solutions Architect, Alexa+ 3P Experiences Senior Solutions Architect to lead technical partner integrations for Alexa+, Amazon's next-generation personal AI assistant. This role involves designing, validating, and shipping integrations that bring third-party agentic capabilities into Alexa+ across diverse consumer categories. The architect will work hands-on with partners, build playbooks and reference architectures, and influence product roadmaps. The role requires experience with modern integration protocols, agentic system design, and full-stack fluency. | Agent | 7 |
| Sr. Solutions Architect, Consumer Packaged Goods Solutions Architect focused on driving adoption of Generative AI and Agentic AI within the Consumer Packaged Goods (CPG) vertical on AWS. The role involves educating customers, developing technical strategies, and architecting solutions that leverage AI for business value in areas like supply chain, personalization, and product innovation. | Agent | 7 |
| Data Scientist, AWS Compliance & Security Assurance Data Scientist role focused on applying AI/ML, particularly LLMs and VLMs, to enhance AWS compliance and security assurance operations. The role involves analyzing complex datasets, prototyping AI solutions, and collaborating cross-functionally to deliver data-driven solutions. Requires strong background in automation using GenAI, data analysis, and transforming business needs into deliverables. | Agent | 7 |
| Applied Scientist, AWS Automated Reasoning Applied Scientist role focused on building next-generation software verification tools by combining AI, cloud computing, and formal methods. The role involves exploring generative AI techniques for requirements formalization, test generation, and proof assistance, with a focus on developing agentic systems for safety and correctness. | Agent | 7 |
| Sr. Data Science, Amazon Customer Service Data Analytics Support Hub Senior Data Scientist to lead the scientific direction of the Data Analytics Support Hub (DASH) Advanced Analytics team, focusing on diagnostic and predictive analytics, measurement frameworks, and multi-contact journey science. The role involves hands-on work on flagship programs and ensuring scientific rigor across the branch, including choosing appropriate methods (statistical, causal, ML, LLM, hybrid) and driving evaluation excellence. Collaboration with Data Engineers for productionization and leadership in applied LLM/GenAI programs are key. | Agent | 7 |
| Software Development Engineer II, Amazon Software Development Engineer II at Amazon to build and scale an AI-powered automation platform for internal tools (Amazon Quick Suite). The role involves designing and delivering features for natural language workflow automation, agentic AI capabilities, and enterprise integrations, operating at massive scale for 450,000+ internal users and external AWS customers. Responsibilities include architecting and implementing scalable services, building integrations, owning end-to-end delivery, and scaling systems for high availability and low latency. | Agent | 7 |
| Applied Scientist, Alexa Smart Home Applied Scientist role focused on building end-to-end AI systems for Alexa Smart Home, leveraging ML, NLP, and computer vision. Requires PhD or Master's with significant experience in model building, publications, and knowledge of LLMs, RAG, multi-modal LLMs, and recommender systems. The role involves owning system design, development, and driving production-level projects. | Agent | 7 |
| Business Analyst I, GAR QC and Governance This role focuses on building AI-driven operational strategies and automations for risk mitigation in financial collections. It involves developing and deploying end-to-end AI solutions, from data ingestion to monitoring, and integrating AI outputs into automated workflows. The role requires strong data analytics, SQL, Python, and experience with AWS services and AI/ML libraries for predictive analytics, anomaly detection, and forecasting. | Agent | 7 |
| Business Analyst I This Business Analyst role focuses on leveraging AI/ML for risk mitigation, predictive analytics, and automation within Amazon's FinOps Collections Quality Control and Governance team. The role involves developing and deploying end-to-end AI solutions, from data ingestion to monitoring, and integrating AI outputs into automated workflows. It requires strong SQL and Python skills, experience with AWS services, and familiarity with AI/ML libraries and NLP for text analytics. | Agent | 7 |
| AI & AWS Software Development Engineer , Ring/Blink CS Technology Enablement Software Development Engineer to design and deliver key components of an AI-powered customer service platform, focusing on automated support systems and leveraging AWS AI services. The role involves end-to-end technical design, implementation, and optimization of AI initiatives, with a strong emphasis on scalability, reliability, and cost-efficiency within the AWS ecosystem. Experience with contact center regulations (PCI DSS, HIPAA) is required. | AgentServe | 7 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| AI Principal Product Manager - Technical, Amazon Customer Service Seeking an experienced AI Principal Product Manager - Technical to own the end-to-end lifecycle of large-scale AI products that transform customer service and experience. The role involves defining vision, roadmaps, driving execution, and partnering with cross-functional teams on AI capabilities including Generative AI, ML, NLP, Agentic AI, and Multi-Agent Architectures. | Agent | 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 |
| 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 |
| 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, Sales AI This role focuses on applying AI/ML, particularly Generative AI, to optimize the Ad Sales business by creating actionable insights and recommendations for account teams and improving their end-to-end workflows. The scientist will build and refine models using statistical methods, deep learning, and reinforcement learning, and leverage NLP and Generative AI for explainability. The role involves research, A/B testing, collaboration with engineering and product teams, and translating complex findings into business recommendations. | Agent | 7 |
| Applied Scientist, AWS Automated Reasoning This role focuses on automated reasoning within AWS, requiring a Ph.D. and experience in areas like SAT, SMT, and program analysis to solve complex problems and drive innovation in AWS services. | Agent | 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, Customer360 Research scientist role focused on building the memory layer for Amazon's personalization engine, leveraging LLMs, information retrieval, and entity resolution to understand and personalize experiences for customers and their households. The role involves inventing, experimenting with, and launching new AI technologies and features. | AgentPost-train | 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 |
| 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 |
| Principal GenAI GTM Specialist, WWSO This Principal GenAI GTM Specialist role focuses on driving enterprise adoption of Generative AI across EMEA, specifically leveraging Amazon Bedrock and agentic architectures. The role involves developing and executing go-to-market strategies, translating technical capabilities into business outcomes, and guiding customers from proof-of-concept to production. It requires a blend of deep technical understanding of GenAI and strong commercial acumen to engage with C-suite executives and technical practitioners. | Agent | 7 |