Currently tracking 1072 active AI roles, with 1266 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1520 active AI-related job listings. The majority of these roles, 41%, are focused on agents, with application-related positions making up another 26%. Engineering is the dominant function, accounting for 1207 of the listings. The company has seen a 20% decrease in new AI roles over the last 30 days, with 636 new positions posted compared to 798 in the preceding 30-day period.
Amazon currently has 1520 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 (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 (983 roles), Canada (56 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 613 new AI-related roles. That is a -23% change versus the prior 30 days (793 → 613).
| Title | Stage | AI score |
|---|---|---|
| Senior Startup Investor Manager, VC, AWS, Startup Investor Management This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The Senior Startup Investor Manager will leverage technical understanding of cloud and emerging technologies, like generative AI, combined with business acumen to identify opportunities and ensure startups have access to the necessary resources to build products on AWS. The responsibilities include creating investor-focused programs, implementing solutions, collaborating cross-functionally, monitoring program effectiveness, collecting market signals, evaluating startup potential, and advising portfolio companies on cloud architecture and go-to-market strategies. | — | 5 |
| Senior Startup Account Manager - Engaged, ASEAN Startups This role is for a Senior Startup Account Manager at AWS, focusing on driving growth and adoption of AWS services among well-funded startups in ASEAN. The candidate will work with technical teams and stakeholders to develop go-to-market strategies, accelerate adoption, and ensure customer success. While the role involves discussing technologies like generative AI and machine learning, the core responsibility is sales and account management, not building or researching AI models. |
| — |
| 5 |
| Data Engineer II, AWS Field Experience - Investments Data Engineer II role at AWS Field Experience - Investments, focusing on designing, building, and evolving data capabilities for the Investments Platform. The role involves end-to-end data solutions from ingestion to insight generation, with a significant emphasis on incorporating generative AI practices using AWS GenAI services like Bedrock, Nova, and Amazon Q to enhance efficiency, automation, and decision-making. Responsibilities include building data pipelines, data models, and analytics workflows, while also leveraging GenAI for prototyping intelligent features and automating data processes. | Data | 5 |
| Responsable de la réussite client (Conseiller en transformation) | Customer Success Manager (Transformation Advisor), Éditeur de logiciels indépendant (ISV) / Independent Software Vendor (ISV) This role focuses on driving customer success for ISVs undergoing cloud, SaaS, and AI transformations. The primary responsibility is to ensure clients achieve competitive advantage by adopting AWS services, migrating workloads, and accelerating the adoption of AI and agentic capabilities to achieve measurable business outcomes. The role involves connecting clients with AWS expertise, orchestrating engagements across various AWS teams, and translating technical solutions into business value. | — | 5 |
| Senior Program Manager, Alexa Audio Senior Program Manager for Alexa Audio, focusing on delivering audio experiences for internal and external partners, with an emphasis on Generative AI and LLM capabilities. Responsibilities include program definition, scoping, end-to-end delivery, stakeholder management, and strategic roadmap development, particularly concerning Legal, Privacy, Trust, and Voice of Customer programs. | — | 5 |
| Sr. Technical Program Manager, Alexa Audio Sr. Technical Program Manager for Alexa Audio, focusing on delivering global audio experiences and integrating Generative AI/LLM capabilities into consumer-facing products. Responsibilities include managing partner relationships, developing roadmaps, translating needs into requirements, and driving project schedules from design to release. | — | 5 |
| Tech Product Marketing Manager - ESC , AWS Product Marketing Product Marketing Manager for AWS European Sovereign Cloud, focusing on go-to-market strategy, customer value proposition, and influencing product strategy for European governments and enterprises. The role requires a blend of technical understanding and business strategy to articulate the value of AWS cloud and AI innovation. | — | 5 |
| Snr TPM - Workforce Planning, Workforce Planning (WFP) The Senior Technical Program Manager will drive the delivery of an enterprise-wide workforce planning platform that replaces offline, spreadsheet-based planning with integrated, AI-powered experiences. This role will leverage machine learning and agentic AI to provide data-driven workforce decisions at Amazon scale, integrating with Finance systems. The platform is launching across major business units and will be the system of record for workforce planning. The role involves managing cross-functional dependencies, leading launch readiness, tracking risks, communicating with senior leadership, and partnering with Product and Science teams. | Agent | 5 |
| Sr. Consultant, AVS, Amazon Vendor Services This role is for a Senior Consultant within Amazon Vendor Services, focusing on solving critical business challenges for large vendors using a combination of consulting methodologies, data science, and e-commerce expertise. The consultant will work with senior vendor leaders, translate data and ML outputs into recommendations, and collaborate with internal teams to deliver custom solutions. | — | 5 |
| Catalog Specialist, Books Category This role focuses on improving catalog quality for the Books India team at Amazon by analyzing data, identifying trends, and collaborating with stakeholders. While the role leverages AI/ML tools, it does not involve building or shipping AI models. | — | 5 |
| Sr. Product Manager- Technical, Agentic AI, AWS Transform This role focuses on defining and delivering services and tools that leverage generative AI and agentic techniques for large-scale code transformations and modernization within AWS. The Product Manager will drive the product roadmap, work with engineering and design teams, and create go-to-market plans for AI-powered automation solutions. | — | 5 |
| Image Quality Sys Dev Engineer, System Dev Engineer This role focuses on optimizing the image processing pipeline (ISP tuning) for Ring cameras, ensuring high-quality images across various conditions. It involves deep technical work on camera hardware, ISP algorithms, and system validation, with an emphasis on AI-enhanced imaging techniques and developing systematic solutions for image quality challenges. | Serve | 5 |
| Amazon Core Search Organization - Language Engineer, Core Search The Language Engineer role within Amazon's MIDAS team focuses on creating and managing data annotation guidelines and workflows to support AI model training and evaluation for search quality. This involves data wrangling, analysis, defining UI templates, and reporting on data quality metrics, requiring linguistic and scripting expertise to address NLP and language understanding challenges. The role collaborates with scientists, engineers, and product managers to improve various aspects of Amazon Search, including semantic matching, ranking, computer vision, image processing, and augmented reality. | — | 5 |
| AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations The role focuses on operating and optimizing a fleet of ML servers and accelerators, debugging hardware and software issues, developing data infrastructure, and creating automation software for operational scaling. It involves system remediation, root cause analysis of hardware failures, and implementing system-level testing. | — | 5 |
| ProServe Cloud Architect, Professional Services This role is for a ProServe Cloud Architect at Amazon Web Services (AWS) who will design and implement cloud solutions for customers, focusing on achieving business outcomes. While the role involves working with AI/ML solutions and understanding related technologies, its core function is cloud architecture and customer consulting, not direct AI/ML model development or research. | — | 5 |
| Senior Product Manager, Retail Business Services The Senior Product Manager will lead the product development of a new internal AI platform focused on defect elimination in Amazon's retail business. This role involves managing the full development lifecycle, from requirements and roadmap to stakeholder alignment and launch, in partnership with engineering and product leadership. The platform leverages Machine/Deep Learning and human-in-the-loop mechanisms to scale complex task execution and improve retail operations. | Ship | 5 |
| Senior Solutions Architect, Public Sector - Israel This role is for a Senior Solutions Architect in AWS Global Sales, focusing on the Public Sector in Israel. The primary responsibility is to build technical relationships with customers, acting as a trusted advisor to help them adopt and maximize the AWS cloud. This involves making recommendations on various aspects of cloud architecture, informing the AWS roadmap with customer needs, and creating/sharing best practices and reference architectures. While Generative AI is mentioned as a preferred technical domain, the core function is broader cloud solutions architecture and customer enablement, not direct AI/ML model development. | — | 5 |
| Senior Solutions Architect, AWS Malaysia - Solutions Architecture Senior Solutions Architect role focused on helping enterprise customers with cloud adoption, migration, modernization, and exploring Generative AI and Agentic AI solutions. The role involves hands-on building of prototypes and production-ready architectures, partnering with customers to design and implement solutions, and sharing knowledge. | — | 5 |
| Specialist Strategy & Sales Operations Lead, Specialist Strategy & Sales Operations This role is for a Specialist Strategy & Sales Operations Lead within AWS, focusing on the AWS Applied AI Solutions (AAIS) and Industries teams. The primary responsibility is to drive data-driven decision-making and operational excellence in sales, acting as a strategic business partner to leadership. The role involves managing sales frameworks, processes, and metrics, and leveraging AI/ML technologies to enhance sales processes and decision-making. Key responsibilities include standardizing sales processes, managing pipeline and attribution, orchestrating AI-human collaboration in sales, maintaining sales tools data quality, implementing sales workflows, conducting performance analysis, and leading cross-functional projects to improve sales efficiency. | — | 5 |
| Economist II, POE Economist role focused on applying economic principles and statistical modeling to solve business problems, working with engineers and data scientists. The role involves data analysis, model estimation, experimentation, and transforming prototypes into scaled solutions. While the team embraces AI, the core function is economic analysis and modeling, not direct AI/ML model development. | — | 5 |
| Senior Manager PMT-ES, AWS Payments and Fraud Prevention Senior Manager for AWS Payments and Fraud Prevention, leading product managers to transform customer adoption and transactions. Focuses on expanding global reach, diversifying payment methods, reducing friction, and pioneering next-gen capabilities like embedded checkout and AI-powered solutions. Drives strategic initiatives, product innovation, and operational excellence, balancing growth with security and compliance. Manages teams shipping systems processing millions of daily transactions and leveraging ML for fraud detection. | Ship | 5 |
| Senior Financial Analyst, AWS FP&A Senior Financial Analyst role at AWS, focusing on financial planning, forecasting, and reporting for AWS Marketing. The role involves analyzing financial data, driving month-end close processes, and identifying opportunities for automation. While the role mentions leveraging generative AI tools for routine tasks, its core function is financial analysis and strategy, not AI/ML development. | — | 5 |
| Senior Solutions Architect, Solutions Architecture This role focuses on helping enterprise customers adopt and implement GenAI and agentic AI solutions on the AWS platform. The Solutions Architect will own technical engagements, drive customer success, and provide consultative guidance on cloud infrastructure and application architectures, with a strong emphasis on GenAI and migration strategies. | — | 5 |
| Product Manager Technical - Business Data Technologies, Business Data Technologies Product Manager Technical for Amazon's AI-powered Data Intelligence Agent and Search platforms, enabling employees to access data using natural language. The role focuses on product strategy, defining user experience for conversational AI, and driving adoption across diverse business contexts. | Agent | 5 |
| Robotics Software Engineer, Amazon Robotics R&D Robotics Software Engineer role focused on designing, building, and launching end-to-end robotic systems and their core infrastructure within Amazon's fulfillment centers. This role involves full software development lifecycle, collaboration with applied scientists, and deployment of systems in the field, with a background in Computer Vision, Machine Learning, or Robotics being preferred. | Ship | 5 |
| Sr. Robotics Software Engineer, Amazon Robotics Senior Robotics Software Engineer role at Amazon, focusing on designing, building, and delivering end-to-end robotic systems for fulfillment centers. The role involves software development, integration, testing, and launching robotic applications, partnering with applied scientists and project managers. Requires experience in computer vision, machine learning, or robotics product development within a Linux environment, with proficiency in languages like Java, C++, or C#. | Ship | 5 |
| Robotics Software Engineer, Amazon Robotics R&D Robotics Software Engineer role focused on designing, building, and launching end-to-end robotic systems and applications within Amazon's fulfillment centers. This role involves all phases of development, from concept to production, and requires collaboration with applied scientists and other engineering teams. Basic qualifications include background in Computer Vision, Machine Learning, or Robotics, and experience with modern programming languages and software engineering best practices. | Ship | 5 |
| Data Engineer II, Ring Agent Platforms Data Engineer II role focused on building and maintaining data pipelines, including GenAI enhanced pipelines, to support AI Agent platforms and various analytics use cases within Ring Agent Platforms at Amazon. | DataAgent | 5 |
| Risk Analyst, Account Integrity This role focuses on analyzing data to detect and prevent fraudulent activity and bad actors on Amazon's platform. The analyst will work with data sets and pipelines, identify patterns, develop rules for automated deployment, and support cross-functional teams. While the team uses machine learning, this specific role is more focused on data analysis, rule creation, and operational support rather than direct ML model development. | — | 5 |
| Sr. GenAI/ML Sales Specialist SOLA This role is for a Sr. GenAI/ML Sales Specialist at Amazon AWS, focusing on driving sales and adoption of AI/ML services in the SOLA region. The specialist will be responsible for pipeline creation, revenue growth, identifying customer challenges solvable by AI/ML, and collaborating with internal teams to close opportunities. The role requires consultative sales experience, a strong understanding of the AI/ML technology stack, and the ability to translate technical capabilities into business value. | — | 5 |
| Principal Product Management - Technical, Amazon Brand Stores This role is for a Principal Product Manager - Technical at Amazon Brand Stores, focusing on leveraging generative AI to re-imagine shopping experiences. The goal is to deliver personalized, context-aware brand storefronts that drive brand growth and sales. The role involves chartering product direction, collaborating with stakeholders, defining customer experiences, and influencing senior leadership. | Ship | 5 |
| Product Manager Technical, Payments International Expansion Product Manager Technical for Amazon Payments International Expansion, focusing on launching local payment methods (LPMs) globally. The role involves defining product strategy, driving cross-functional alignment, assessing market opportunities, and ensuring successful product delivery. It emphasizes using AI tools and data insights to enhance customer payment experiences and operational efficiency within the fintech domain. | — | 5 |
| Program Manager, Central Operation Program Manager for Amazon's Central Operations team within Last Mile Logistics, focusing on improving processes and technology for last-mile delivery operations. The role involves defining programs, analyzing data, identifying risks, and collaborating with various teams to enhance system capability and reliability. While the company utilizes AI/GenAI tools, this role is not directly building or researching AI models. | — | 5 |
| Senior Professional Services Account Executive, ProServe DEU Central This role is a Senior Professional Services Account Executive at Amazon Web Services (AWS) focused on driving customer success and business growth through IT strategy, cloud modernization, and digital transformation projects. The role involves engaging with C-suite executives, understanding business outcomes, creating proposals, and ensuring successful delivery of services, with a specific emphasis on consulting on agentic AI-powered operating models. | — | 5 |
| Sr. Business Planning Lead, AWS Specialist and Partner Sales Operations This role is for a Sr. Business Planning Lead within AWS Sales, Marketing, and Global Services Operations. The primary focus is on workforce planning, resource allocation, and operational effectiveness, with an emphasis on leveraging AI-enabled tools and processes to improve planning accuracy, automate workflows, and generate insights. While the role utilizes AI tools, it does not involve building or shipping AI models. | — | 5 |
| Software Development Engineer, Amazon Private Brands Software Development Engineer II role focused on building internal and external facing customer experiences and Gen AI solutions for product lifecycle management within Amazon Private Brands. The role involves designing, developing, and maintaining code, collaborating with teams, and identifying opportunities to leverage generative AI for efficiency and product enhancement. | — | 5 |
| Senior Product Manager Tech, Selling Partner Trust and Store Integrity (TSI) Senior Product Manager Tech role focused on developing ML science-based fraud detection solutions for tax compliance and global regulatory landscapes. The role involves defining product vision, leading development of core capabilities for risk detection, and partnering with various stakeholders to build adaptive governance frameworks and protect Amazon and its sellers from fraud and abuse. | Agent | 5 |
| Software Development Manager, Alexa Audio Software Development Manager for Alexa Audio, focusing on building and scaling global audio experiences using Generative AI and LLM capabilities. The role involves leading a technology team, managing software engineers, and driving technical vision and operational excellence in a fast-paced environment. | Ship | 5 |
| Software Development Manager, Alexa Audio Software Development Manager for Alexa Audio, focusing on delivering global audio experiences (music, podcasts, radio, audiobooks) across Alexa devices. The role involves leading a technology team, setting technical vision, building and managing software engineers, and driving engineering and operational excellence. It emphasizes working with partners and leveraging Generative AI and LLM capabilities to create customer-facing experiences. | — | 5 |
| Senior Business Intel Engineer This role focuses on leveraging Generative AI and intelligent agents to analyze large datasets, uncover patterns, and generate data-driven narratives for business decision-making. The engineer will develop AI-powered dashboards and automate the discovery of correlations and causalities. | Agent | 5 |
| Software Development Manager, Payables Tech Experienced Software Development Manager to lead a team building the next generation of distributed, scalable financial systems, with a focus on driving adoption of agentic AI and LLMs and influencing automation strategy. | Agent | 5 |
| Senior Quality Auditor, Artificial General Intelligence This role focuses on auditing and optimizing complex machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of Quality Auditors, execute audits on complex scenarios, and generate insights for workflow improvement. The role requires hands-on audit execution and leadership experience. | Data | 5 |
| AWS Certification Program Leader, AWS Certification This role leads the strategy, development, and global delivery of AWS Certification exams, focusing on validating cloud expertise. It involves end-to-end portfolio management, from content creation to go-to-market execution. A key aspect is reimagining skills assessment by leveraging AI, adaptive techniques, and psychometric models for continuous validation of cloud skills at scale. | — | 5 |
| Senior Banking Partner Solutions Architect, AMER Partner Industry & Solutions, Industry & Solutions COE This role is for a Senior Partner Solutions Architect at AWS with deep domain expertise in the Financial Services (FSI) industry, specifically Banking and Capital Markets. The primary focus is on shaping and publishing repeatable industry solutions with AWS partners to accelerate customer adoption of AWS cloud computing services, including AI and Generative AI. The role involves working with partners and customers to develop sales opportunities, provide architectural guidance, and evangelize partner solutions. | — | 5 |
| Senior Quality Auditor, Artificial General Intelligence This role focuses on auditing and optimizing complex machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of Quality Auditors, execute audits on complex scenarios, and generate insights for workflow improvement. The role requires hands-on audit execution and leadership experience. | Data | 5 |
| Quality Auditor - NL This role focuses on quality auditing for AI development and training data, involving manual review and validation of automated quality measurements, coaching Data Associates, and identifying root causes of issues to maintain high data quality standards. | Data | 5 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will focus on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets to advance natural language processing and machine learning. Responsibilities include designing data collection tasks, analyzing data for insights, building data analysis tools, and collaborating with scientists to evaluate language models. | Data | 5 |
| Senior Startup Investor Manager, VC, AWS, Startup Investor Management This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The Senior Startup Investor Manager will identify promising early-stage startups, help them leverage cloud technologies (including generative AI), and provide guidance on cloud architecture and go-to-market strategies. The role involves program management, market signal collection, and evaluating the technical and business potential of startups. | — | 5 |
| Principal Security Engineer, AWS Network Servcies, AWS Network Services Principal Security Engineer for AWS Network Services, focusing on securing customer workloads and developing security products. The role involves using AI for security and securing AI workloads, making high-judgment security decisions, coaching junior engineers, and contributing to threat intelligence and network security services like WAF, BOTS, and DDoS Protection. Requires experience in delivering cyber security solutions, creating security strategies, and shipping production code. | — | 5 |
| Data Associate（中国語 中文团队 ─ 契约社员）, AGI Data Services The Data Associate role at Amazon Japan is responsible for supporting AI development projects by evaluating and labeling various data types including text, speech, images, and videos. This role involves generating high-quality human judgment data, monitoring generative AI outputs for harmful content, and ensuring data privacy and security. The position is part of a new Chinese language team and requires strong language skills in Chinese and either Japanese or English, along with basic computer proficiency and teamwork abilities. | Data | 5 |
