Currently tracking 1110 active AI roles, down 16% 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 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 |
|---|---|---|
| AI Specialist SA This role is for an AI Specialist Solutions Architect (SSA) at AWS, focusing on helping enterprise customers adopt and scale GenAI/ML and Agentic technologies. The role involves building technical relationships, advising on architectures, and advocating for customer needs to influence AWS roadmaps. It requires a strong understanding of production software and LLM deployment, with a focus on translating AI ambitions into scalable, operational programs. | Agent | 7 |
| Software Development Engineer - Prime Video, Linear Personalization Experience Team (LPEX) Software Development Engineer role focused on building and optimizing AI-powered personalization and recommendation systems for Prime Video's Linear TV segment. The role involves designing and implementing high-performance personalization systems, productionizing ML models with Applied Scientists, architecting data pipelines, developing real-time serving infrastructure, and leading A/B testing frameworks. Requires strong software development skills, experience with ML frameworks, SQL, distributed systems, and knowledge of recommendation systems and model serving. |
| AgentServe |
| 7 |
| Data Scientist, Demand Planning and Workforce Intelligence This role focuses on building Generative AI and LLM-powered solutions for forecasting, operational dashboards, and workforce optimization. It involves creating agentic AI systems for natural language querying, root cause analysis, and recommendation engines, utilizing transformer architectures and prompt engineering. | Agent | 7 |
| Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales Senior ProServe Cloud Architect for Healthcare and Life Sciences at AWS, focusing on designing and implementing AI and cloud solutions for pharmaceutical customers. This role involves understanding customer business objectives, architecting scalable AWS solutions for clinical development challenges, and advising on emerging technologies including agentic AI applications. The position requires deep domain knowledge of the pharmaceutical sector, including data standards and compliance frameworks, and collaboration with various AWS teams to drive innovation and customer success. | Agent | 7 |
| Senior Solutions Architect, GovTech ISVs Senior Solutions Architect for GovTech ISVs, focusing on helping them build and scale generative AI and agentic systems on AWS. The role involves guiding technical strategy, architecture, and security for regulated environments, with an emphasis on modernizing platforms and ensuring AI solutions are production-ready. | Agent | 7 |
| Applied Scientist II, Core Search The Amazon Search team is looking for an Applied Scientist II to invent signals and algorithms using LLMs and ML techniques to improve suggestion generation, recommendations, and ranking. This role involves fine-tuning LLMs for real-time suggestion generation, personalizing content, building evaluation frameworks, and designing guardrails for LLM-generated content. The work spans the entire development pipeline, including data analysis, evaluation system design, prototyping, A/B testing, and production systems. | AgentEval Gate | 7 |
| Software Development Engineer, AAIS Software Development Engineer role focused on building applied AI solutions, specifically agentic products, within the AWS Applied AI Solutions organization. The role involves transforming research into production systems, owning end-to-end deployment of Generative AI and ML methods, and establishing scalable processes for ML development and serving. | AgentServe | 7 |
| Architecte IA/ML Senior | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services Senior AI/ML Architect role within AWS Professional Services, focusing on building and deploying ML and Generative AI solutions for Canadian Public Sector clients. The role involves understanding business needs, designing solutions using AWS ML services, collaborating with engineering teams, and supporting projects from inception to production. | Agent | 7 |
| System Development Engineer I, Support Products & Services This role involves designing and developing AI-powered automation solutions to bridge Salesforce and Amazon Advertising systems, focusing on campaign trafficking and workflow orchestration. The engineer will build scalable technology solutions, collaborate with cross-functional teams, and contribute to AI/LLM automation initiatives by integrating Generative AI models into production workflows. The role also includes developing monitoring, alerting, and automated testing frameworks, troubleshooting complex technical issues, and driving continuous improvement. | Agent | 7 |
| Software Engineer II, SCOT-Automated Inventory Mgmt Software Engineer II role focused on deploying autonomous agents for supply chain optimization, leveraging generative AI and ML to build intelligent infrastructure. The role involves designing and deploying AI systems/agents, building Gen AI technologies with AWS, and collaborating with cross-functional teams. | Agent | 7 |
| System Development Engineer I, Support Products & Services This role involves building AI-powered automation solutions to bridge Salesforce and Amazon Advertising systems, focusing on campaign trafficking and workflow orchestration. The engineer will develop scalable technology solutions, collaborate with cross-functional teams, and contribute to AI/LLM automation initiatives by integrating Generative AI models into production workflows. | Agent | 7 |
| Software Development Engineer, GenAI Software Development Engineer role focused on productizing Generative AI experiences for advertisers at Amazon Advertising. The role involves building customer-facing features, designing and deploying scalable distributed services, and working with various AI technologies like diffusion models, LLMs, computer vision, and reinforcement learning. It requires strong full-stack coding expertise and an understanding of AI agent concepts. | Agent | 7 |
| Worldwide Partner Solutions Architect, Data and AI GTM Partner Solutions Architect focused on Data and AI Go-To-Market (GTM) for Amazon QuickSuite, with a primary emphasis on designing and implementing enterprise BI solutions, AI-powered analytics platforms, and agentic AI systems for workplace automation. The role involves collaborating with partners and customers to adopt AWS services, devising engagement strategies, and providing architectural guidance for AI-driven business intelligence and autonomous workplace agents. | Agent | 7 |
| Software Development Engineer, DC Assistant Development Software Development Engineer role on the Data Center Gen AI team at AWS, focused on building generative AI solutions for data center operations. The role involves developing intelligent systems that optimize technician workflows, automate decision-making, and enhance operational efficiency using LLM integration, RAG, agent frameworks, and full-stack serverless technologies. The position aims to transform data center operations through AI/ML innovations and build platform primitives for other teams. | Agent | 7 |
| Data and AI Architect , Professional Services - Taiwan This role focuses on designing and implementing data and AI solutions on AWS for enterprise customers in the manufacturing and semiconductor industries. The architect will lead the design of end-to-end data architectures and AI/ML solutions using AWS services, with a specific emphasis on generative AI architectures like RAG, fine-tuning, and AI agents. The role involves collaborating with stakeholders, mentoring junior architects, and developing reusable assets. | AgentData | 7 |
| Sr. AI Risk Manager , Res-Q This role focuses on building and deploying AI-powered risk assessment and classification pipelines to automatically categorize escalations, identify abuse patterns, and quantify systemic defects within Amazon's marketplace. It involves using AI/ML infrastructure to develop topic models, root cause classifiers, and risk scoring frameworks, and integrating these into operational workflows to improve risk intelligence and prevent abuse. The role also involves studying investigation processes to identify areas for AI-driven automation or augmentation. | AgentData | 7 |
| GenAI Solutions Architect, Partner Solutions Architect This role focuses on enabling AWS partners to build, scale, and sell Generative AI solutions, specifically Foundation Models and Agentic solutions. The Solutions Architect will develop joint solutions, create go-to-market strategies, and drive technical enablement. Key responsibilities include architecting integrated solutions, building proof-of-concepts, influencing partner roadmaps, and creating technical content. The role requires deep technical expertise in GenAI, strong partner relationship management, and the ability to act as a technical liaison. | Agent | 7 |
| Applied Scientist, AWS Insights & Optimization Applied Scientist at AWS Insights & Optimization developing and deploying end-to-end ML models for cost anomaly detection, forecasting, optimization, and AI-powered conversational experiences. Focus on analyzing large-scale customer cost/usage data to build intelligent cloud financial management solutions. | AgentPost-train | 7 |
| Data Scientist, Alexa Smart Home Data Scientist II on the Alexa Smart Home team to develop machine learning models, analytical frameworks, and Gen-AI powered solutions that improve product quality, inform strategic decisions, and enable proactive detection of customer experience issues. This role involves working with large-scale behavioral and interaction datasets, designing experimentation frameworks, and partnering with engineering, product, and science teams to deliver data-driven solutions. | Agent | 7 |
| Software Development Engineer, Finance Technology, ATARI Software Development Engineer role in Amazon's Finance Technology group, focusing on building big data and ML systems for fraud detection using Generative AI and LLMs. The role involves developing ML pipelines to process large transaction volumes and collaborating with scientists and finance teams. | Agent | 7 |
| Sr. Specialist Solution Architect - AI, AWS Mexico Commercial Senior Specialist Solutions Architect for AI at AWS Mexico, focusing on architecting enterprise-grade AI/ML and generative AI solutions for C-suite executives. Requires deep technical experience in ML, GenAI, and agentic capabilities, including LLM customization, fine-tuning, inference optimization, agentic frameworks, RAG, and prompt engineering, with a focus on delivering measurable business outcomes and adhering to governance and compliance standards. | Agent | 7 |
| Applied Scientist II, CIA Orchestration Team Applied Scientist II role focused on developing and deploying machine learning models and data-driven solutions for operational efficiency in Amazon's Fulfillment Centers and Transportation Sites. The role involves working with diverse datasets and ML frameworks to create predictive models, optimization algorithms, and intelligent automation, with a focus on scalability and production readiness. The team specifically handles network device management through a user-friendly, auditable mechanism for provisioning, configuration, and policy management. | Agent | 7 |
| Software Development Manager, Advertising Support Products and Services Software Development Manager leading a team to build AI-powered customer support products for Amazon Advertising, focusing on AI agents and automation for advertiser case resolution and campaign management. | Agent | 7 |
| Software Development Engineer, AI Upgrades & Transformation Software Development Engineer role focused on building and managing Agentic AI capabilities for AWS analytics services, specifically an Apache Spark Upgrade Agent that uses conversational interfaces and automated code transformation to reduce upgrade timelines. The role also involves managing a Model Context Protocol server for AI assistants and Agents, providing secure access to troubleshooting and code recommendation tools. | Agent | 7 |
| Architecte IA/ML Senior | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services Senior AI/ML Architect role within AWS Professional Services, focusing on building and deploying ML and Generative AI solutions for Canadian Public Sector clients. This involves understanding business needs, designing solutions using AWS ML services, collaborating with engineering teams, and supporting projects from inception to production. | 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 from weeks to hours using GenAI. | Agent | 7 |
| Applied Scientist, AWS Automated Reasoning Applied Scientist role focused on automated reasoning, privacy, and sovereignty within AWS. Requires a PhD and experience in areas like SAT, SMT, theorem proving, or program analysis. The role involves solving complex problems, designing and implementing solutions, and providing cross-organizational technical influence. | Agent | 7 |
| Applied Scientist, AWS Automated Reasoning The Applied Scientist role in AWS Automated Reasoning focuses on developing advanced solutions for automated reasoning, privacy, and sovereignty within AWS. This involves solving complex problems, designing and implementing solutions with long-term impact, and providing cross-organizational technical influence. The role requires deep knowledge in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, and program analysis, with a Ph.D. and 4+ years of applied research experience. | Agent | 7 |
| Applied Scientist, AWS Automated Reasoning Applied Scientist role focused on automated reasoning, privacy, and sovereignty within AWS. Requires a Ph.D. and experience in areas like SAT, SMT, symbolic simulation, and program analysis. The role involves solving complex problems, designing and implementing solutions, and providing technical influence across organizations. | Agent | 7 |
| AI Engineer, Amazon Business AI Engineer role focused on deploying and productizing agentic AI models for automation at scale within Amazon Business EU. Responsibilities include developing AI agents, owning end-to-end deployment, establishing scalable ML processes, and contributing to customer-facing features. | Agent | 7 |
| Sr. Product Manager , Cargo Integrity & Recovery Services - Prevention Senior Product Manager to lead product strategy for cargo security and risk prevention within Amazon's global logistics network. The role involves building new products and evolving existing roadmaps to protect inventory, utilizing machine learning for real-time monitoring and predictive risk detection. This position requires defining product vision, driving cross-functional execution with engineering and data science, and scaling ML-powered solutions into production. | AgentServe | 7 |
| Sr. Product Manager , Cargo Integrity & Recovery Services - Prevention This role is for a Senior Product Manager at Amazon focusing on cargo integrity and risk prevention within their global logistics network. The core of the role involves defining product strategy, building new products, and evolving existing ones using machine learning for predictive risk detection and real-time monitoring. The product manager will collaborate with engineering and data science teams to translate ML models into production-ready products and establish success metrics. The role operates at the intersection of product management, ML, and logistics, aiming to protect billions of dollars in goods. | AgentServe | 7 |
| Software Development Engineer , Media Planning and Measurement Software Development Engineer role focused on building AI-powered planning infrastructure for Amazon Ads. The role involves designing and delivering agentic skills, multi-step orchestration workflows, scalable APIs, and ML-informed optimization services. The tech stack includes TypeScript, Python, and AWS services. | AgentServe | 7 |
| Data Scientist, WW Ops FP&A Data Scientist II role focused on building LLM-powered financial forecasting and knowledge retrieval systems, including RAG, for Amazon's WW Ops FP&A team. Requires translating business ambiguity into production-grade AI solutions and influencing roadmaps. | Agent | 7 |
| Sr. System Development Engineer, World Wide Design Engineering Senior Systems Development Engineer role focused on developing AI/ML systems, autonomous robotics, and agentic workflow automation for facility design and deployment within Amazon's global fulfillment network. The role involves identifying and implementing technical solutions, developing internal tooling, contributing to product roadmaps, and mentoring engineers, with a strong emphasis on AI and innovation. | Agent | 7 |
| Applied Scientist, Pricing Science Applied Scientist role focused on building causal ML systems for Amazon's pricing decisions. The role emphasizes shipping production-quality pipelines with real business impact, bridging econometric analysis and ML pipelines. Responsibilities include designing, training, and deploying causal estimation models, owning causal ML methodology, supporting pricing experiment analysis, and connecting model outputs to business outcomes. | Agent | 7 |
| Sr. Business Intelligence Engineer, Amazon Publisher Monetization, Analytics This role focuses on building AI-powered analytics experiences, specifically conversational agents and prompt-driven interfaces using LLMs and generative AI, to provide proactive insights for Amazon's advertising supported publishers. The engineer will own the end-to-end insight lifecycle, from data modeling to executive recommendations, and mentor other engineers. | Agent | 7 |
| Software Dev Engineer III, Amazon Private Brands, APB Tech Software Development Engineer III on the Amazon Private Brands (APB) team, responsible for building and evolving the core platform capabilities for a shared data, workflow, and AI agent platform. This includes dynamic data management, task orchestration, and AI agent infrastructure built on Amazon Bedrock. The role involves full-stack development, influencing technical direction, and partnering with consuming teams to ensure platform scalability. The engineer will own and operate backend services, lead technical roadmap, drive architecture decisions, mentor junior engineers, and translate business requirements into technical solutions. | Agent | 7 |
| Software Development Manager, Amazon Leo AI Foundations Software Development Manager for Amazon Leo AI Foundations, responsible for designing, implementing, and operating globally distributed systems for a low Earth orbit satellite network. The role focuses on building near real-time analytics, a data lakehouse, and supporting agentic AI capabilities, including architecting a vector database with sub-100ms retrieval times and hybrid search strategies. The team builds the intelligent cloud backbone for AI-driven decision making across the Leo constellation, optimizing network performance and user experience. | AgentServe | 7 |
| Technical Program Manager III, AWS Prototyping and AI Customer Engineering (PACE) Technical Program Manager for AWS PACE team, focusing on accelerating AI innovation for customers by building Generative AI and Agentic AI prototypes. The role involves end-to-end ownership of customer engagements, partnering with architects and designers, and working with technologies like LLMs, RAG, and autonomous agents. The TPM will apply Amazon's Working Backwards methodology, manage risks, and ensure responsible AI practices and production readiness. | Agent | 7 |
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on developing and deploying 1P audience segments for Amazon's EU marketing campaigns, using causal inference and machine learning to measure incremental lift and optimize marketing spend. The goal is to move beyond platform-led optimization to more personalized customer experiences, building reusable frameworks for scalable experimentation and informing future marketing strategies. | Agent | 7 |
| Software Development Manager, Offers Platform, Catalog Systems, ASCS Software Development Manager leading a team to build next-generation offer diagnostic and insight capabilities, focusing on AI agents and autonomous shopping experiences within Amazon's large-scale catalog systems. The role involves defining the agentic diagnostic paradigm and owning critical Tier-1 aggregation services. | AgentServe | 7 |
| Software Development Engineer, Sponsored Products Global Optimization Software Development Engineer role focused on building and optimizing AI/ML-driven optimization services and recommender systems for Amazon Sponsored Products, aiming to improve advertiser campaign performance and product discovery. The role involves designing scalable APIs, deploying ML algorithms, and optimizing models for high-throughput, low-latency production environments. | AgentServe | 7 |
| Principal Technical Program Manager, Ad Measurements Science Principal Technical Program Manager for Amazon Ads Measurement Science team. This role will drive program execution for AI initiatives, including an Analyst Agent and a Customer Journey Model, working across Product, Science, and Engineering. The role involves planning, execution, and delivery of large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems. | Agent | 7 |
| Robotics Engineer, Datacenter Robotic Products & Services Robotics Engineer role focused on the design, deployment, and management of advanced robotic systems at scale within AWS data centers. The role involves developing robust robotic solutions, deploying them across multiple locations, and ensuring reliability, efficiency, and scalability. It requires collaboration with external partners and enterprise customers, and experience with vision language actuation models and shipping production code. | Agent | 7 |
| Data Scientist, AWS Security Data Scientist role focused on leveraging advanced analytics and machine learning to protect AWS cloud infrastructure from security threats. The role involves developing and deploying anomaly detection models, predictive algorithms, and real-time analysis systems, as well as building and expanding LLM agent pipelines. Key responsibilities include analyzing large-scale security data, creating automated systems for threat identification, building data pipelines, and translating analytical findings into actionable insights. Experience with Python, statistical analysis, and machine learning is essential, with a focus on using AWS technologies like SageMaker and EMR. | AgentData | 7 |
| Senior Software Development Engineer, AWS Security Senior Software Development Engineer on the Gravemind team within Amazon Security, focusing on leading the design and implementation of AI-powered security automation, including intelligent incident response and natural language-driven security workflows. The role involves owning architecture, mentoring engineers, and driving operational excellence for services supporting 24/7 security operations. It also includes building scalable data pipelines and analytics solutions. | AgentData | 7 |
| Software Development Engineer II, Devices & Services Trust CX Innovations Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems. | AgentData | 7 |
| Software Development Engineer, Trust CX Innovations&AI Policy Software Development Engineer II role focused on building foundational systems and consumer-facing features for trustworthy AI experiences at scale, emphasizing privacy-preserving AI architectures, responsible AI frameworks, and explainable AI systems for consumer devices like Alexa and Echo. | AgentData | 7 |
| Software Development Engineer II, Devices & Services Trust CX Innovations Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems. | AgentData | 7 |
