Currently tracking 1061 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1500 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), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (7), Senior AI Solution Architect (6). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (27%), 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 (972 roles), Canada (56 roles), United Kingdom (49 roles), India (19 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 619 new AI-related roles. That is a -22% change versus the prior 30 days (793 → 619).
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.
| Title | Stage | AI score |
|---|---|---|
| AI Benchmarking Specialist - Chinese, International Seller Growth This role focuses on evaluating AI systems, specifically LLMs, by designing and executing benchmarking and audit activities to assess model quality, compliance, robustness, and fairness. It involves annotation for training, measuring, and improving AI models, preparing audit reports, and ensuring data quality. The role supports the Seller AI team in developing Gen-AI/LLM powered tools for sellers. | Eval Gate | 5 |
| Delivery Consultant - AI, AWS Professional Services This role is for a Delivery Consultant focused on designing, implementing, and managing AWS solutions for customers. While it mentions AI and machine learning services, the core responsibility is cloud solution delivery and customer consulting, not direct AI/ML model development or research. The role involves guiding customers on cloud adoption, migration strategies, and leveraging AWS services, including those related to AI/ML, to achieve business outcomes. The "Basic Qualifications" mention experience building large-scale ML and AI solutions, but the overall context points to a consulting and implementation role rather than a core AI/ML craft role. |
| — |
| 5 |
| Catalog Specialist, WWRR Science Annotation Team The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and labeling for ML model training and evaluation. This role collaborates with product, technology, and science teams to ensure high-quality annotated data and improve annotation processes. | Data | 5 |
| Software Development Engineer, AI/ML Engineering Team Software Development Engineer on an AI/ML Engineering Team at Audible, focusing on the design, development, and implementation of machine learning solutions and ML infrastructure components. The role involves writing code for ML applications, supporting testing, debugging, and deployment of ML systems. | Serve | 5 |
| Finance Manager - SCOT Automated Inventory Management , SCOT AIM Finance Finance Manager role partnering with AI/ML teams to manage financial strategies and controllership for Automated Inventory Management systems. The role involves evaluating technology investments, assessing inventory defects, building financial models, and developing narratives for executive reviews, while leveraging AI tools for analysis. | — | 5 |
| Sr. Product Manager — GenAI, SageMaker, SageMaker This role is for a Senior Product Manager Technical (PMT-ES III) to own product strategy for Amazon SageMaker AI, focusing on the customer experience for building, training, and deploying ML and GenAI models. The role involves defining roadmaps, prioritizing features, and translating complex ML workflows into user-friendly experiences. SageMaker is described as an industry-leading platform for ML and GenAI applications, enabling customers to customize foundation models, optimize inference, and operationalize AI. | — | 5 |
| Software Development Engineer, Data Platform , Fauna Software Development Engineer to build foundational data systems for robotics and machine learning development, focusing on infrastructure for data collection, storage, processing, and transformation from robots. The role involves owning services, APIs, and distributed systems, partnering with scientists and engineers, and developing systems for ML training data preparation. | Data | 5 |
| Product Manager, Reputation Marketing & Insights Product Manager for internal applications and operational platforms that streamline workflows across Reputational Marketing & Insights (RMI). The role involves owning product strategy, roadmap, and delivery, evaluating and leveraging AI/ML tools, LLMs, and agentic frameworks, defining technical requirements, and building tools to change what's possible. The focus is on delivering internal AI-powered development tools and LLM-based agents. | — | 5 |
| Senior Solutions Developer, Prototyping and Customer Engineering (PACE) The Senior Solutions Developer, Prototyping and Customer Engineering (PACE) role at Amazon Web Services (AWS) focuses on building prototypes and early-stage solutions for enterprise customers, primarily leveraging Generative AI. The role involves partnering with customers and internal teams to experiment with new technologies, validate technical feasibility, and accelerate the adoption of AWS services. Key responsibilities include designing and implementing prototypes, identifying scaling opportunities, and mentoring other developers, with a strong emphasis on hands-on development and dealing with ambiguity. | Agent | 5 |
| Cloud Migration Modernization Advisor, AWS Industries Migration Advisor Team This role focuses on helping enterprise customers migrate to AWS by leveraging generative AI tools and frameworks to accelerate value. The advisor will lead sales plays, develop expertise in genAI migration modernization, and engage with customers to drive cloud adoption and business outcomes. It is a sales and product-focused role within the enterprise AI domain, emphasizing the application of AI tools rather than direct AI model development. | — | 5 |
| Sr Program Manager, XB DEX This role is for a Sr. Program Manager at Amazon focused on improving the cross-border delivery experience. While the role involves partnering with an AI-focused team and leveraging AI tools, the core responsibilities are program management, supply chain optimization, and driving business initiatives, rather than directly building or shipping AI models. The role is product-focused within the enterprise AI domain, aiming to scale solutions. | — | 5 |
| System Development Engineer, Legal Technology System Development Engineer role focused on AI/ML automation and integration within a legal technology context, modernizing infrastructure and eliminating manual tasks. | Agent | 5 |
| Software Development Engineer II, Brand Registry Software Development Engineer II for Amazon's Brand Registry team, focusing on building scalable services and innovative technologies. The role involves designing and developing distributed systems, with a preference for candidates who can leverage generative AI tools to improve workflows and integrate AI solutions into products. | — | 5 |
| Software Development Engineer II, AWS Invoicing Software Development Engineer II role focused on modernizing AWS invoicing processes by integrating Generative AI and agentic workflows into operational tooling. The role involves designing, building, and operating distributed systems for billing adjustments, with a focus on reliability, scalability, and customer impact. | Agent | 5 |
| Sr. Product Manager, Sales Optimization and Planning Senior Product Manager for a sales optimization and planning product (Axiom) used by Amazon Devices. The role involves owning product workstreams end-to-end, partnering with science and engineering teams on AI/ML models (pricing optimization, demand forecasting, recommendation systems, GenAI insights), and shipping customer-facing features. The goal is to replace manual planning with intelligent, automated systems impacting hundreds of millions in device sales. | Ship | 5 |
| Software Development Engineer, AWS This role is for a Software Development Engineer (SDE) within Amazon Web Services (AWS), focusing on Artificial Intelligence/Machine Learning. The candidate will design, develop, and maintain code, implement complex software solutions, and collaborate with cross-functional teams. While the role is within AWS and touches on AI/ML, it's a general SDE role with a specialization option in AI/ML, implying a focus on building and serving AI systems rather than cutting-edge research. | Serve | 5 |
| Senior Software Development Engineer, Customer 360 Senior Software Development Engineer to lead AI-driven personalization efforts, building a unified engine that understands and adapts to customer behaviors in real-time across Amazon's businesses. The role involves architecting and building scalable systems, pioneering personalization approaches, and collaborating with AI/ML teams. | Agent | 5 |
| Principal Tech Program Manager, Personalization This role is for a Principal Technical Program Manager on Amazon's Personalization team, which tailors customer experiences using machine learning and scalable real-time systems. The TPM will work with engineers on page optimization systems, drive innovation, manage cross-functional programs, and balance customer/business needs with technical constraints. The role has significant scope, impacting billions of dollars in revenue, and requires strong judgment, negotiation, and leadership skills. | — | 5 |
| Associate Account Executive Associate Account Executive role at Amazon AWS, focused on accelerating pipeline growth for cloud services. The role involves identifying new business opportunities, engaging with customers using AI-powered sales tools and data-driven insights, and contributing to sales targets. It's positioned as an entry-level position with a clear career path into full-cycle sales within AWS. | — | 5 |
| Principal Product Mgr Tech, Alexa Product Manager for Amazon Alexa, focusing on defining technical product requirements and driving development of Generative AI features. Requires experience with technical product management, APIs, and analytical frameworks. | Ship | 5 |
| Sr. Software Development Engineer, Smart Delivery Tech Sr. Software Development Engineer role focused on developing edge computing software solutions for a fleet of smart delivery vehicles, integrating IoT devices, real-time data streams, and machine learning models. The role involves full software development lifecycle, from edge to cloud, with a focus on embedded systems, real-time data processing, and connected device protocols. | — | 5 |
| Worldwide GTM Specialist - Physical AI, Worldwide GTM - Physical AI This role focuses on Go-To-Market (GTM) strategy and business development for Physical AI solutions (Robotics, Automation, Digital Twin, Edge AI) within AWS. The specialist will lead GTM motions, enable sales and partner teams, support customer solutions, influence product roadmaps, and represent AWS at industry events. The role leverages AI tools to accelerate workflows and focuses on scaling adoption of these AI capabilities. | — | 5 |
| Sr. Worldwide Partner Specialist, GenAI - Bedrock, Data & AI GTM This role focuses on driving the adoption of Amazon Bedrock, AWS's generative AI service, through strategic partnerships. The specialist will develop go-to-market strategies, help partners build Bedrock-powered solutions, and position AWS for enterprise generative AI workloads. The role requires a blend of strategic thinking, technical depth in generative AI, and business development acumen, with a focus on partner-led revenue growth. | — | 5 |
| Data Scientist , AMXL Worldwide Science Data Scientist role focused on applying machine learning, time series forecasting, and operations research to optimize logistics and delivery for Amazon's heavy and bulky items business. The role involves analyzing large-scale data, developing and deploying predictive models for routing, capacity planning, demand forecasting, and workforce scheduling, and building automated data and model pipelines. | Data | 5 |
| Sr. UX Manager, AI Services This role is for a Sr. UX Design Manager leading the design team for Amazon Bedrock and other AWS AI/ML services. The focus is on the user experience of a generative AI platform, including inference, model hosting, and customization. The manager will lead, mentor, and grow a team of UX designers, define design strategy, and partner with various teams to translate complex AI/ML capabilities into intuitive user experiences. The role emphasizes shipping product quickly, adapting to emerging AI tools, and driving cross-team alignment. The customers are technical builders using these services in production. | — | 5 |
| Principal Product Marketing Mgr - Tech, AWS Healthcare and Life Sciences Industry Marketing The Principal Product Marketing Manager will define and lead the go-to-market strategy for cloud and AI solutions within the healthcare and life sciences industry. This role involves translating complex technical capabilities into compelling customer value propositions, influencing product roadmaps, and aligning cross-functional teams. The ideal candidate blends storytelling, technical understanding, and business strategy to craft narratives and positioning for diverse audiences, including CIOs and CTOs. | — | 5 |
| Data Scientist, WW DSP Analytics This role focuses on applying data science and machine learning techniques to optimize delivery operations, performance measurement, and program policies for Amazon's Last Mile Delivery Service Partner (DSP) program. The Data Scientist will develop science solutions, leverage ML for forecasting and performance measurement, analyze risks, and build production-scale analytics. A key aspect is accelerating the GenAI footprint and improving developer productivity. The role involves analyzing complex datasets and collaborating cross-functionally to drive business outcomes. | Data | 5 |
| Sr. Technical Program Manager, Sponsored Products and Brands The Sr. Technical Program Manager will lead the delivery of large, high-impact initiatives for Amazon Ads' Sponsored Products and Brands team, focusing on re-imagining advertising through advanced generative AI technologies and conversational ad experiences. The role involves collaborating with engineering, product, and other stakeholders to develop strategies, roadmaps, and requirements, while also defining mechanisms to optimize team output and long-term technical strategy. | — | 5 |
| Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Mechanical Engineer responsible for the design and optimization of hardware in Amazon's data centers, specifically focusing on custom ML chips like Inferentia and Trainium. The role involves thermal and mechanical design, modeling, characterization, and collaboration with various teams and vendors to ensure performance, quality, and cost-effectiveness of large-scale server deployments. | — | 5 |
| Solutions Architect, Hi-Tech and Semiconductor Solutions Architect role at AWS focused on driving adoption of AWS cloud services, particularly Generative AI and intelligent automation, with enterprise customers in the Hi-Tech and Semiconductor sector. The role involves building technical relationships, advising customers on cloud architecture, security, cost, performance, and operational efficiency, and helping them leverage services like Amazon Bedrock and Agentic AI architectures. The Solutions Architect will also contribute to best practices, technical content, and evangelize AWS technology. | — | 5 |
| Sr. Data Scientist, Elevated Shopping This role focuses on owning the data science elements of various products, translating business problems into data requirements, and developing data science solutions. The core responsibilities include analysis, modeling, system design, and development of these solutions, with a strong emphasis on data-based decision making and product performance optimization. The role requires experience in building large-scale machine learning models for online recommendation, ads ranking, personalization, or search, and communicating results to business stakeholders. | Ship | 5 |
| Customer Solutions Mgr, LATAM Scale CSM This role is for a Customer Solutions Manager (CSM) at Amazon Web Services (AWS) in LATAM, Brazil. The CSM will focus on driving customer value realization and successful execution of AWS services, including Generative AI, Data & Analytics. The role involves technical leadership, strategic business focus, guiding complex implementations, and building trusted relationships with stakeholders to accelerate cloud and AI transformation journeys. | — | 5 |
| Sr. UX Conversation Designer, Amazon Customer Service This role focuses on conversation design for Amazon's Customer Service products, including web, app, and chatbot experiences. The designer will collaborate with various teams, including engineers and machine learning scientists, to improve the voice, tone, and personality of customer service products. Responsibilities include leading strategy for products involving generative AI/LLMs, conducting experiments, making data-informed decisions, and creating writing guidelines. The role aims to enhance customer service experiences through thoughtful conversational design and content strategy. | — | 5 |
| Director of Sales, Ring & Blink Director of Sales for Ring & Blink, focusing on retail distribution strategy and execution. The role emphasizes an AI-first mindset, leveraging generative AI and automation to transform sales processes, accelerate decision-making, and improve team output. Responsibilities include defining strategic growth plans, leading negotiations, managing account relationships, and developing sales teams, while partnering cross-functionally with marketing, finance, and product teams. | — | 5 |
| Software Development Engineer, AWS This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure. | Serve | 5 |
| Senior Software Development Engineer, AWS Compliance & Security Assurance Senior Software Development Engineer on the AWS Compliance & Security Assurance team. The role focuses on building and owning internal services to monitor security/compliance attributes, streamline audits, and continuously monitor security functions, leveraging Generative AI to enhance capabilities. The role requires experience in designing and building scalable systems, mentoring developers, and operating systems at Amazon scale. | — | 5 |
| Sr. Solutions Architect, Storage, WWSO Storage SA Team Solutions Architect for Amazon FSx for Lustre, focusing on HPC and GenAI use cases. The role involves technical expertise in storage, customer engagement, influencing roadmaps, and creating technical content. It requires deep understanding of enterprise storage technologies, particularly file and data storage in the cloud, and collaboration with service teams, GTM teams, and field SAs. | — | 5 |
| Senior Cost Engineering Manager, Cost Engineering Senior Cost Engineering Manager to lead cost engineering on large-scale construction projects, shaping the future of AI-powered cost intelligence. This role involves influencing negotiations, presenting to senior leadership, and co-developing AI-driven tools for cost modeling, negotiation, and management within Amazon's Global Procurement Organization. | Data | 5 |
| Principal Product Manager-Tech, Sales AI Principal Product Manager-Tech for Sales AI, focusing on creating AI-first products for advertising and B2B sales. The role involves defining strategy, owning product definition for closed-loop recommendation systems, and collaborating with science and engineering teams to build personalized, scalable solutions. The primary deliverable is an AI-powered product for sales teams, with a secondary focus on the underlying agentic systems that generate and serve recommendations. | ShipAgent | 5 |
| Legal Program Manager This role is for a Legal Program Manager at Twitch, responsible for managing legal compliance initiatives and driving the adoption of AI-powered solutions within the legal team. The role involves planning, coordinating, and tracking initiatives, translating legal recommendations into actionable workstreams, and facilitating stakeholder meetings. While the role focuses on deploying AI tools, it is not a core AI/ML development role. | — | 5 |
| Technical Account Manager, APJC Enterprise Support This role supports enterprise customers in adopting and maximizing the value of AWS services, with a specific focus on Generative AI and AI/ML solutions. The Technical Account Manager (TAM) acts as a primary technical advisor, guiding customers on architecture, operational readiness, and best practices for AI workloads in production. The role also involves leveraging AI-powered tools for support and advocating for customer requirements within AWS. | — | 5 |
| Production Coordinator International Originals – Production & Post Production, Americas, Amazon MGM Studios - International Orignals Production Coordinator for Amazon MGM Studios International Originals in the Americas, supporting the Head of Production & Post. Responsibilities include managing complex calendars across multiple time zones, coordinating international logistics, tracking production timelines, and facilitating cross-functional collaboration. The role will utilize modern AI-driven tools and workflows to streamline operations. | — | 5 |
| Principal Customer Success Specialist - Gen AI, Customer Success Center of Excellence This role is a Principal Customer Success Specialist focused on driving enterprise adoption of AWS's generative AI platform (Amazon Quick). The role involves defining strategies, building repeatable methodologies, enabling partners, and managing customer transformation to achieve business value. While it heavily involves AI concepts and platforms, the core function is customer success and product adoption strategy, not direct AI/ML model building or research. | — | 5 |
| Senior Customer Success Specialist - Gen AI, Customer Success Center of Excellence Senior Customer Success Specialist focused on driving enterprise adoption of Amazon Quick and AWS's generative AI platform, Amazon Quick. The role involves defining methodologies and frameworks for business process reinvention at scale, enabling customers to move beyond experimentation to systematic transformation. Responsibilities include designing transformation strategies, developing repeatable methodologies, enabling partner ecosystems, managing customer success, and contributing to thought leadership and product roadmaps. | — | 5 |
| System Development Engineer I, Amazon WWR&R The System Development Engineer I on the Worldwide Returns, ReCommerce & Sustainability (WWR&R) team at Amazon will focus on automation, tool development, troubleshooting, and software maintenance. This role involves working with internal software projects, automating support processes, and ensuring system documentation. The team uses machine learning models for routing and optimization within the returns and recommerce domain. | Data | 5 |
| Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance Senior Firmware Engineer role focused on developing firmware algorithms for power and performance management on ML Acceleration Chips. The role involves designing and implementing intelligent control algorithms, optimization strategies, and real-time decision-making systems, with a focus on embedded, resource-constrained environments and close hardware interaction. Experience with instrumentation, tracing, and data pipelines for algorithm validation is also required. | Serve | 5 |
| Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements Senior Data Engineer responsible for building and maintaining backend data infrastructure for analytical platforms and applications, with a focus on leveraging generative AI and AWS services to create data products and feature stores for GenAI applications. This includes end-to-end development of data engineering solutions, architectural improvements, and ensuring data quality. | DataAgent | 5 |
| Solutions Architect, Hi-Tech and Semiconductor Solutions Architect for AWS, focusing on helping enterprise customers adopt AWS services, including Generative AI and Agentic AI architectures. The role involves building technical relationships, providing recommendations, and educating customers on AWS technologies. | — | 5 |
| Sr. Product Manager, JCI Measurement and Optimization Science Team (JCI MOST) This role is for a Senior Product Manager on the JCI Measurement and Optimization Science Team at Amazon Japan. The primary focus is on developing products and solutions for cost-to-serve measurement capabilities, collaborating with business, tech, and science teams. The role involves defining product roadmaps, identifying business challenges, and leveraging global solutions for the JP market. While the company uses AI/GenAI tools, this specific role is product management focused on operational efficiency and measurement, not direct AI/ML model development. | — | 5 |
| OpenSearch Specialist Solutions Architect, WWSO Data & AI, AWS This role focuses on being a technical advisor for Amazon OpenSearch, helping customers design and deploy search, analytics, and Generative AI solutions. The specialist will guide customers on integrating OpenSearch with GenAI workflows and accelerating their Generative AI deployments using OpenSearch as a vector store. The role involves architectural reviews, migration assessments, and creating technical enablement resources. | — | 5 |