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 683 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr. Software Development Engineer, Amazon Athena - Engine Senior Software Development Engineer role focused on enhancing Amazon Athena by providing customers with insights into their query performance, cost, and potential issues. The role involves leveraging AI/ML experience to drive optimizations and developing new capabilities within the Athena query engine and its distributed systems. | Serve | 5 |
| Sr. UX Designer, Amazon Ads - Brand Innovation Lab Senior UX Designer for Amazon Ads' Brand Innovation Lab, focusing on defining and leading advertising experiences across emerging technologies like generative AI. The role involves end-to-end design strategy, user research, prototyping, and collaboration with cross-functional teams to deliver innovative customer experiences. | — | 5 |
| Lead SDE C/C++ Hardware/Software Co-Design, Machine Learning Acceleration Systems |
| — |
| 5 |
| Software Development Engineer, Alexa Customers & Technology Software Development Engineer role focused on building next-generation Amazon Echo devices, involving system architecture, feature development, performance optimization, and firmware for embedded systems. The role also emphasizes driving the adoption of Generative AI tools within the software development lifecycle. | — | 5 |
| Senior Software Development Engineer, AWS Config Senior Software Development Engineer role focused on building agentic AI solutions for automating the lifecycle of AWS resource type onboarding. The role involves designing and building AI agent orchestration systems, working with large-scale distributed systems, and reasoning about AWS service APIs to automate tasks with minimal human intervention. | Agent | 5 |
| Sr Data Associate (NL), Artificial General Intelligence Data Services This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements to enhance labeling quality. The role requires strong analytical thinking, attention to detail, and the ability to interpret and implement detailed instructions. | Data | 5 |
| Sr Data Associate (NL), Artificial General Intelligence Data Services This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The role requires strong analytical skills, attention to detail, and the ability to interpret and implement detailed instructions. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation across text, speech, audio, image, and video data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing error patterns, and proposing solutions to enhance labeling quality. The goal is to support the responsible development and deployment of generative AI and LLMs. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation across various data modalities (text, speech, audio, image, video). The role involves delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to enhance labeling quality. It requires strong attention to detail, analytical thinking, and the ability to interpret and implement detailed instructions. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| Principal TPM - Prime Video, AI Automation Principal Technical Program Manager to define and drive strategy for AI automation across Prime Video, influencing VP+ level decisions, identifying technical risks, and creating scalable mechanisms for responsible AI adoption and integration. The role involves advising senior leaders, managing cross-organizational initiatives, and ensuring alignment with business objectives for improved efficiency and customer experience in entertainment. | Agent | 5 |
| Senior Software Engineer, Amazon Access Senior Software Engineer role focused on building greenfield infrastructure for Amazon Access, a healthcare benefits platform. The role involves designing and building scalable, ML-integrated systems for personalization and eligibility, with a focus on end-to-end ownership, architectural decisions, and applying engineering best practices. The position is part of the founding Bangalore engineering team and requires experience in distributed systems, ML, and potentially healthcare/fintech domains. | Ship | 5 |
| Software Development Engineer, ML Systems Integration, Machine Learning Israel (MLIL) — Integration Validation Software Development Engineer focused on ML Systems Integration and Validation for next-generation ML accelerator servers. The role involves owning CI/CD pipelines, test frameworks, and system-level validation for ML inference platforms, including performance benchmarking for LLM inference workloads. | Serve | 5 |
| Senior Frontier AI Partner Development Manager, AMER Startup Partner Team This role is for a Senior Frontier AI Partner Development Manager at Amazon Web Services (AWS), focusing on building and managing relationships with startup Generative AI partners. The primary responsibility is to drive go-to-market strategies, adoption of AWS services, and revenue growth through these partnerships. The role requires a blend of technical understanding, business development, sales, and partnership management skills, with a focus on strategic planning and execution for AI startups. | — | 5 |
| Data Scientist II, NASC S&OP The Data Scientist II will design and implement solutions to address complex business questions using advanced statistical and machine learning (ML) techniques, experimentation, and big data. In this role, you will build scalable ML models, apply advanced analysis technique and statistical concepts to draw insights from massive datasets, and create intuitive science models and data visualizations. You can contribute to each layers of a data solution – you will work closely with business intelligence engineers and product managers to obtain relevant datasets and prototype predictive analytic models, and implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality. | Data | 5 |
| Senior Solutions Architect, Startups This role focuses on working with early-stage startups to help them leverage AWS technology at scale, acting as a trusted advisor and influencing their technical decisions. It involves designing large-scale architectures, supporting platform evolution, and advocating for customer needs with product teams. The role also includes creating technical content and presenting at events. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is a Security Assurance Solutions Architect for AWS, focusing on helping enterprise customers design, build, and operate secure cloud environments. The role involves advising customers on risk, regulatory, and compliance requirements, particularly for sensitive workloads and regulated data migrating to the cloud. It emphasizes understanding and translating compliance needs into scalable solutions, working with various AWS teams, and potentially traveling to customer sites. While the role mentions Generative AI and responsible AI practices as a way to augment productivity, its core function is in cloud security, risk, and compliance, not in building or directly shipping AI models or agents. | — | 5 |
| Finance Manager - SCOT Automated Inventory Management , SCOT AIM Finance Finance Manager for Amazon's SCOT Automated Inventory Management (AIM) team, focusing on financial strategy, investment decisions, and controllership for AI/ML-driven supply chain systems across various global markets. The role involves deep partnership with technical and business leaders, financial modeling, performance assessment of algorithmic outcomes, and leveraging AI tools for analysis. It sits at the intersection of finance, AI, and supply chain strategy, requiring comfort with ambiguity and operating at multiple altitudes. | — | 5 |
| Data Engineer, NAST-CX Tech Data Engineer role focused on building and maintaining scalable data infrastructure and ETL pipelines to support business intelligence, analytics, and machine learning models within Amazon Transportation Services. The role involves integrating diverse data sources, curating data, and automating data pipelines using AWS technologies. | — | 5 |
| Program Manager, Alexa AI Program Manager for Alexa AI, focusing on driving cross-functional programs from machine learning research to customer-facing product delivery. The role involves managing the end-to-end lifecycle of initiatives, defining requirements, driving execution, and communicating progress and risks to senior leadership. It requires collaboration with engineers and scientists to ship features and improvements across languages, modalities, and devices. | Ship | 5 |
| Sr. Customer Solutions Manager, USAF Senior Customer Solutions Manager for AWS supporting US Air Force (USAF) Intelligence and Information Dominance customers. The role focuses on accelerating cloud and AI adoption, driving customer outcomes, and managing complex engagements within DoD environments. Responsibilities include developing adoption strategies, identifying opportunities for generative AI and modernization, and acting as a trusted advisor to senior decision-makers. | — | 5 |
| Senior Manager, PMT-ES, Amazon Connect Customer Senior Product Manager for Amazon Connect's Workforce Acceleration team, focusing on developing next-generation generative AI-infused contact center capabilities. The role involves defining product roadmaps, requirements, and go-to-market strategies, working cross-functionally to deliver high-scale, customer-focused solutions. | Ship | 5 |
| Sr. Analytics Specialist SA, Solutions Architecture This role focuses on designing and implementing cloud-based analytics solutions on AWS, including data warehousing, data lakes, and real-time analytics. The specialist will help customers build data foundations for advanced analytics, ML, and AI, bridging data engineering and data science to enable feature engineering, experimentation, and model training data pipelines at scale. | Data | 5 |
| Economist II, JP Economics & Decision Sciences, JP Economics and Decision Sciences Seeking an Economist to apply economic and econometric methods to guide business decisions in Amazon's JP marketplace. The role involves building causal inference models to measure initiative impact, optimizing pricing and selection, and collaborating with data scientists and engineers. The Economist will also design and analyze experiments, develop analytical frameworks in R/Python/Stata, and present findings to stakeholders. This role is pioneering for economists outside North America and EU, aiming to expand Amazon's economist community in Asia and impact international operations. | — | 5 |
| Principal Customer Success Specialist - Gen AI, Customer Success Center of Excellence This role focuses on customer success and business transformation for enterprise clients adopting AWS's generative AI platform (Amazon Quick). The specialist will design strategies, develop methodologies, and enable partners to help customers move from AI experimentation to systematic business process reinvention at scale. The role involves thought leadership, influencing product roadmaps, and driving measurable business value realization through AI adoption. | — | 5 |
| Sr. Program Manager, ECR, NOC ECR This role focuses on driving the adoption and implementation of Generative AI solutions within the Executive Customer Relations (ECR) team at Amazon India. The primary goal is to leverage AI for tasks such as automated case summarization, pattern recognition, and predictive escalation routing to improve operational efficiency and customer experience. The role involves collaborating with cross-functional teams, defining AI product roadmaps, and ensuring responsible AI deployment. | Agent | 5 |
| パートナー ソリューション アーキテクト、AWS AWS Partner Solutions Architect role focused on enabling partners to leverage cloud and AI technologies. Responsibilities include technical consulting, solution design, hands-on support, and developing technical roadmaps for partners. Emphasizes effective AI utilization, including model selection, RAG, prompt engineering, and AI agents, to drive partner transformation and business outcomes. | Agent | 5 |
| Business Analyst-Data Insights, Translation Services Operations This role focuses on leveraging data to drive business insights and optimize operational processes within Amazon's Translation Services team. The Business Analyst will own end-to-end analytical work, including defining metrics, building reports and dashboards, and identifying trends. A key aspect of the role involves exploring the use of AI/ML to enhance data insights generation and automate reporting. | — | 5 |
| Sr. Technical Program Manager, Sponsored Products and Brands This role is for a Sr. Technical Program Manager on the Amazon Ads Sponsored Products and Brands team. The role focuses on improving the quality of underlying agentic solutions and driving initiatives to incorporate brand intelligence across Amazon. While the team uses generative AI technologies, the TPM role itself is not directly building or researching AI models, but rather managing programs and product strategies related to AI-powered advertising products. The role requires strong technical program management experience, system design, and roadmap development. | — | 5 |
| Sr. GenAI Partner Dev Mgr, AMER Tech Partners - GenAI ISVs Team This role is for a Senior GenAI Partner Development Manager on the AMER Tech Partners team, focusing on ISV partnerships within the Generative AI space. The primary responsibility is to lead go-to-market strategy and manage partnership relationships with strategic Generative AI ISVs, driving adoption of AWS cloud computing platform and revenue opportunities. The role involves defining and executing joint sales and GTM programs, managing partner development plans, setting revenue targets, managing opportunity pipelines, and collaborating with internal AWS teams and partner customer bases. It also requires understanding technical requirements to guide product offerings and using analytics tools for tracking and reporting. | — | 5 |
| Startup Solutions Architect, AWS Startups Solutions Architect for AWS Startups, focusing on guiding startups in leveraging AWS cloud technologies, with a strong emphasis on modern AI/ML, LLMs, foundation models, and GenAI application architectures. The role involves understanding customer business needs, providing prescriptive guidance on AI/ML solutions, designing reference architectures, and educating customers on AWS capabilities, particularly in areas like model fine-tuning, RAG, and responsible AI. | Agent | 5 |
| Software Development Engineer, Rufus Software Development Engineer role focused on building and improving a generative AI-powered shopping assistant for millions of Amazon customers. The role involves end-to-end ownership, collaboration with cross-functional teams, and a focus on customer experience and technical innovation. | — | 5 |
| Software Development Engineer, CoRe Services Software Development Engineer role focused on building and operating large-scale machine learning systems for fraud detection and risk prevention at Amazon. The role involves developing ML systems for data, feature, model, and rule management, collaborating with ML scientists, and delivering next-gen solutions. | Data | 5 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building and owning Tier 1 services for Amazon Ads' Sponsored Products and Brands. The role involves designing, developing, and maintaining highly available, scalable systems that determine ad eligibility and enhance customer experiences. It leverages generative AI technologies and involves working with numerous machine learning models within a low-latency, high-scale ad serving workflow. | Serve | 5 |
| Senior Customer Success Manager, Strategic Account Services This role is for a Senior Customer Success Manager focused on driving business growth for influential Sellers on the Amazon Store. The candidate will build and execute strategic joint business plans, identify innovative ways to improve selection, merchandising, traffic, and operations. Key responsibilities include analyzing data, acting as a strategic partner, managing account goals, building trusted advisor relationships, and improving team efficiency. While not directly building AI, the role involves using generative AI tools to enhance workflow efficiency and identifying opportunities for AI to improve products and experiences. | — | 5 |
| Architecte de solutions / Solutions Architect - 2026 (CAN) Associate Solutions Architect role focused on helping customers design and adopt AWS cloud solutions. Involves technical training and collaboration with clients and internal teams. Requires experience with AI/ML technologies and cloud domains. | — | 5 |
| Software Development Engineer, AWS Billing console platform Software Development Engineer II role focused on building the platform for AI agents within the AWS Billing console. This includes developing agent-facing interfaces, generated user experiences, and integrating with customer-built agents. The role also involves delivering contractual cost and usage data exports and scaling the platform. It emphasizes end-to-end ownership, operational excellence, and contributing to the evolution of the console in an agent-mediated world. | Agent | 5 |
| Senior Account Manager, AWS Enterprise Games Senior Account Manager for AWS Enterprise Games, focusing on a strategic customer in the game industry. The role requires building growth plans, establishing relationships with diverse stakeholders, and leveraging technical fluency and a consultative approach. Experience with AI/ML is increasingly important for customers exploring its use in personalized player experiences, real-time operations, and content creation. | — | 5 |
| Senior Software Engineer, Amazon's Talent Solution’s Core Science and Engineering Senior Software Engineer role focused on building and scaling MLOps/GenAIOps systems for Amazon's Talent Solutions. The role involves managing large data volumes, supporting the ML lifecycle (training, validation), and enhancing LLM responses using techniques like RAG and Prompt Engineering. Emphasis on scalable systems for model deployment and GenAI application building. | ServeAgent | 5 |
| Associate Account Executive , SMB Engaged Associate Account Executive role at Amazon Web Services (AWS) focused on accelerating pipeline growth for new and existing customers. The role involves identifying whitespace opportunities, developing outreach strategies, and driving net-new business using AI-powered sales tools and data-driven insights. It's positioned as an entry point into AWS's North American sales organization with a clear career path. | — | 5 |
| Principal PMT, Sponsored Products and Brands - Marketplace Intelligence Principal Technical Product Manager for Amazon's Sponsored Products and Brands Marketplace Intelligence team, focusing on improving ad experiences on Search pages. This role involves developing roadmaps, collaborating with scientists and engineers on ranking and placement improvements, overseeing business operations, and driving growth in key advertising segments. The team leverages generative AI to revolutionize customer discovery and brand engagement. | — | 5 |
| Sr. Manager - PMT, Sponsored Products and Brands - Marketplace Intelligence Sr. Manager, Product Management – Technical to lead the team responsible for differentiated recommendation experiences on Amazon's search results pages, which are AI-generated discovery modules and personalized collections that offer shoppers curated, organized and highly personalized advertising. This role manages a cross-functional team of scientists, engineers and product managers and defines the long-term vision for ad recommendation experiences on Amazon Search. | Ship | 5 |
| Principal PMT, Sponsored Products The Principal PMT will lead the product vision and strategy for personalized video advertising experiences within Amazon Ads, leveraging generative AI to enhance customer discovery and brand engagement. This role involves charting product direction, collaborating with partners, defining customer experiences, and influencing senior leadership. | — | 5 |
| Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales This role involves designing and implementing AI and cloud solutions for healthcare and life sciences customers, focusing on clinical development, data operations, and regulatory submissions. The architect will act as a trusted advisor, guiding customers on emerging technologies like agentic AI and collaborating with internal teams to drive innovation and customer business outcomes. | Agent | 5 |
| Sr. UX Designer, Amazon Customer Service Senior UX Designer for Amazon Customer Service, focusing on designing intuitive customer experiences using generative AI. Collaborates with AI scientists, developers, and product managers to translate complex AI concepts into user-friendly interfaces. Drives innovation through the product development process and presents work to executives. | — | 5 |
| Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability This role focuses on manufacturing and quality assurance for AI servers and systems, specifically those utilizing Trainium chips. The engineer will work with cross-geographical ODMs and CMs to implement test techniques, improve manufacturing processes, qualify production lines, and mitigate product/component risks. The role is part of Annapurna Labs, which develops custom silicon and servers for AWS, including ML accelerators like Trainium and Inferentia. While the products are AI-related, the core function of this role is manufacturing engineering, not direct AI/ML model development or research. | — | 5 |
| Program Manager, Insights & Performance, Whole Food Market, E-Commerce Innovation This Program Manager role focuses on providing analytical support for an e-commerce innovation team. The role involves deep-dive analysis, building partnerships with analytics teams, producing independent analyses, and owning performance narratives. A key aspect is establishing a repeatable approach to leveraging generative and agentic AI tools to accelerate analytical output and reduce manual effort. | — | 5 |