Currently tracking 1109 active AI roles, with 1262 new openings in the last 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, Sponsored Products and Brands This role focuses on building and optimizing large-scale distributed systems for Amazon's Sponsored Products and Brands advertising, with a specific emphasis on applying Generative AI (GenAI) and Large Language Models (LLMs) to enhance ad relevance, personalization, and shopping experiences. The engineer will work on the full stack, from backend services to shopper-facing interfaces, aiming to integrate AI seamlessly into the advertising ecosystem. | Agent | 5 |
| Senior Program Manager, Last Mile Tech SME This role is for a Senior Program Manager in Amazon Logistics (AMZL) focusing on Last Mile technology. The SME will partner with technology and operations teams to prioritize, develop, optimize, and sustain technology and processes. While the role mentions leveraging AI and ML to transform decision-making and automate human decisions, the core responsibility is program management, defining requirements, prioritizing enhancements, and driving adoption of technology solutions within the last mile network. The primary output is improved operational processes and technology adoption, not the direct building or research of AI models themselves. |
| — |
| 5 |
| Sr. GTM Specialist, Analytics, Media & Entertainment, AWS Industries - Media, Entertainment, Games & Sports This role focuses on Go-To-Market (GTM) strategy and execution for analytics services within the Media, Entertainment, Games & Sports industry on AWS. The specialist will collaborate with sales, partners, and marketing teams to drive adoption and revenue, leveraging expertise in Data & AI technologies, including Generative AI workloads. The role involves understanding customer problems, leading cross-functional initiatives, developing business plans, and providing market feedback to internal teams. While the role involves working with AI/ML technologies and deploying Generative AI workloads, the core function is GTM strategy and sales enablement, not direct AI/ML model development or research. | — | 5 |
| Sr. Software Dev. Engineer, SageMaker JumpStart Builder Experience This role is for a Senior Software Development Engineer on the Amazon SageMaker JumpStart Builder Experience team. The team owns the front door of SageMaker, focusing on model discovery, distribution, and governance. The engineer will be full-stack, with a primary focus on customer-facing UI and SDK experiences, enabling customers to easily use pre-trained models and develop their own. This involves collaborating with various stakeholders to improve customer experience and deliver features. | ShipData | 5 |
| Senior Startup Investor Manager, VC (or Angel) , AWS Worldwide Startups This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The 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 tools and support to build products on AWS infrastructure. The core function is to facilitate growth and innovation for startups within the AWS ecosystem, acting as a technical advisor and supporting investor-focused programs. | — | 5 |
| Sr. Technical Program Manager, Partner Experience Engineering This role is for a Sr. Technical Program Manager at Amazon Prime Video, focusing on Partner Experience Engineering. The role involves leading core programs for Prime Video partners (studios, content creators) to ingest content, working across multiple organizations, and acting as a technical representative with external partners. A key aspect is applying ML and Generative AI capabilities to improve partner and customer experiences in the entertainment supply chain. The role requires planning for a 30+ developer team and inventing using appropriate frameworks and technologies. | Agent | 5 |
| Principal Tech Program Manager, Sponsored Ads Principal Technical Program Manager to lead the development of an AI agent for ads new ad products that leverage AI to help customers find and discover new products and engage with brands and sellers on Amazon. This role manages complex technical programs spanning multiple VP-level organizations, aligning on project requirements, creating work back plans, defining API contracts, and managing strategic communications with executive stakeholders. | — | 5 |
| Sr Worldwide Specialist - GenAI, Amazon Bedrock, Data & AI GTM This role focuses on defining and executing Go-to-Market (GTM) strategies for Amazon Bedrock, a service hosting foundation models. The responsibilities include accelerating customer adoption, influencing product direction, developing joint GTM plans with model providers, customer engagements, evangelism, and creating demos/proof-of-concepts. The role requires a blend of business and technology expertise, with a strong understanding of the Generative AI market and use cases, to engage with customers from startups to enterprises and internal AWS teams. | — | 5 |
| Senior Solutions Architect, ISV Developer AI This role is a Senior Solutions Architect focused on helping Independent Software Vendors (ISVs) leverage AWS cloud capabilities, particularly in Data, Analytics, and Generative AI. The architect will own the technical relationship with customers, provide strategic guidance, design reference architectures, and drive adoption of AWS services to enhance customer offerings and accelerate innovation. | — | 5 |
| Technical Account Manager, National Security, National Security - ES US-ADC Technical Account Manager for National Security customers within AWS, focusing on strategic technical guidance and driving adoption of AWS services, including AI/ML services, but not directly building them. | — | 5 |
| Sr. Product Manager – Tech, Alexa Daily Essentials This role is for a Senior Product Manager, Tech, on the Alexa Daily Essentials team. The focus is on leveraging generative AI to build the next generation of Alexa's AI assistant for productivity scenarios like timers, alarms, calendars, and news. The PM will drive product strategy, own the roadmap, translate customer requirements into technical specifications, and collaborate with science, design, research, and engineering partners to deliver engaging customer experiences across various Alexa touch-points. The role emphasizes innovating on behalf of customers and impacting millions of users worldwide. | Ship | 5 |
| Senior PMT-ES, Amazon Aurora Senior Product Manager for Amazon Aurora, focusing on defining product requirements and roadmaps for database services, with an emphasis on integrating generative AI capabilities to improve user experiences and product features. | — | 5 |
| Principal Product Manager , Amazon Aurora Product Manager for Amazon Aurora, focusing on defining product strategy, requirements, and go-to-market plans for database services, with an emphasis on integrating generative AI capabilities. | — | 5 |
| Senior PMT-ES, Amazon Aurora Senior Product Manager for Amazon Aurora, focusing on defining product requirements and roadmaps for database services, with an emphasis on integrating generative AI capabilities to improve user experiences and product features. | — | 5 |
| Technical Program Manager III, ShopBop - Technology Technical Program Manager III for Shopbop's Marketing Technologies organization, focusing on personalized customer experiences. The role involves managing cross-functional programs, driving execution, leading technical discussions, and mitigating risks. It emphasizes integrating AI-native technologies and leveraging generative AI tools to enhance products and workflows. | — | 5 |
| Security Engineer, AWS Security Security Engineer role focused on securing foundational AWS compute and networking systems, including those powering generative AI workloads. The role involves designing security controls, providing architectural guidance, building automated security guardrails, and leveraging AI tools to enhance security assessments and threat detection. While the role touches on AI-native development and uses AI tools, its core craft is security engineering for cloud infrastructure, not building AI models or agents. | — | 5 |
| Sr Solutions Architect, Alexa+ Senior Solutions Architect for Alexa+, focusing on driving strategic adoption of Generative AI integrations at scale with Tier-1 partners. The role involves technical consultation, architectural framework development, and influencing product roadmaps for a new version of Alexa powered by LLMs and agentic capabilities. | Agent | 5 |
| Sr. Art Director, Elevated Shopping (éShop) Senior Art Director for Amazon's Elevated Shopping (éShop) team, focusing on brand partnerships content, creative leadership, and integrating emerging technologies like virtual production and AI into content creation workflows. The role involves both strategic vision setting and hands-on execution within a global studio network. | — | 5 |
| Software Development Manager, Alexa Control And Experience Software Development Manager to lead a team building AI-powered customer experiences and backend systems for Amazon's Alexa personal assistant. The role involves leading engineers, championing generative AI adoption, ensuring engineering excellence, and partnering cross-functionally to deliver innovative AI-driven features. | Ship | 5 |
| Solutions Architect - NPO, WWPS SA - NPO Solutions Architect for AWS Nonprofit team, focusing on helping membership organizations modernize systems, build AI-powered experiences, and leverage data. The role involves technical advisory, solution design, and customer-facing engagements, including generative AI accelerators and architecture reviews. | Agent | 5 |
| Senior Business Development Manager - Devices, Creators Senior Business Development Manager for Amazon Devices, focusing on creator growth strategy and partnerships to drive measurable category growth. This role involves building pipelines, negotiating deals, monitoring performance, and influencing stakeholders. While not directly building AI, the role leverages generative AI tools to enhance workflow efficiency and identify opportunities for AI integration. | — | 5 |
| Sr. Technical Account Manager, National Security - ES US-ADC This role is for a Sr. Technical Account Manager (TAM) within AWS Enterprise Support, focusing on National Security customers. The TAM will act as a strategic technical advisor, helping customers adopt and utilize AWS services, including AI and ML services, to achieve their business and operational goals. The role requires strong customer-facing skills, technical acumen in cloud technologies, and the ability to manage customer relationships and drive discussions with senior leadership. It involves understanding customer needs, providing best practices, and ensuring operational health of their AWS environments. A TS/SCI security clearance with polygraph is mandatory. | — | 5 |
| Security Engineer, AWS Security Security Engineer role focused on securing foundational AWS compute and networking systems, including those powering generative AI workloads. The role involves designing security controls, providing architectural guidance, and building automated security guardrails. A key aspect is pioneering new ways of securing AI-first and AI-native development, and leveraging AI tools to enhance security assessments and threat detection. | — | 5 |
| Sr. Product Manager, Buying & Forecasting, Canada Softlines Product Manager role focused on developing and automating buying, forecasting, and planning processes for Canada Softlines at Amazon. The role involves owning the product roadmap, leading the development of automated buying workflows, improving demand prediction accuracy, building tools for event planning, and optimizing inventory. It emphasizes leveraging AI and analytics to enhance productivity, democratize insights, and optimize operations. Requires strong product management, SQL, and cross-functional collaboration skills, with familiarity in seasonal buying cycles and inventory optimization. Experience with generative AI tools for workflow efficiency is preferred. | — | 5 |
| Senior Financial Analyst, Last Mile Operations Finance - US FP&A This role is for a Senior Financial Analyst within Amazon Logistics' FP&A team. The primary focus is on financial and operational reporting, decision support, financial modeling, controllership, and cost reduction initiatives. While the role involves leveraging AI tools and exploring AI-driven solutions for process improvement and analysis, it does not involve building or shipping AI models as the core responsibility. The role supports the last-mile delivery business and aims to enhance financial operations through data-driven insights and automation. | — | 5 |
| Global Financial Services, Senior Solutions Architect Senior Solutions Architect for AWS Global Financial Services team, focusing on designing and implementing scalable cloud architectures for large financial institutions. The role involves advising senior stakeholders on cloud migration, cloud-native development, and AI adoption, partnering with sales teams, and contributing to the SA community through content and mentorship. The role touches on AI adoption and generative AI proof-of-concepts but is not primarily an AI development role. | — | 5 |
| Principal PMT, Sponsored Products and Brands, SP Offsite This Principal PMT role at Amazon Ads focuses on leading product strategy and execution for a new product at the intersection of advertising and creator commerce, leveraging generative AI. The role involves building products that connect creators with advertisers to maximize earnings and performance, defining the product vision and roadmap for creator-powered advertising, and managing the end-to-end experience for both advertisers and creators. It requires operating across multiple dimensions, making trade-offs, and driving alignment across various teams. | Ship | 5 |
| Ontologist II - AMZ9740721 Develops and maintains data models and ontologies for Amazon's product catalog, leveraging generative AI and semantic web technologies to enhance data retrieval and product discoverability. Analyzes metrics to optimize knowledge graphs and contributes to tool development. | Data | 5 |
| Senior Account Executive, 4th Estate Senior Account Executive for AWS within the US Department of Defense, focusing on driving revenue and adoption of AWS services, including generative AI use cases. Requires understanding of customer missions, building executive relationships, and managing sales pipelines and contract negotiations. Must be a US Citizen with a Secret security clearance. | — | 5 |
| Finance Manager, Cross Border FP&A This role is for a Finance Manager who will lead the AI transformation within the FP&A function. The candidate will own core FP&A responsibilities while championing an AI-first approach, defining an AI vision, building and deploying AI solutions, and automating processes. The role requires partnering with data engineering and analytics teams, and collaborating with engineering, data science, and product teams to tailor AI solutions for finance needs. The candidate will also serve as an AI subject matter expert and contribute to AI governance. | — | 5 |
| Sr. Software Development Engineer, ML Infrastructure Team Senior Software Development Engineer on the ML Infrastructure team at AWS, responsible for owning and evolving the platforms that ensure top performance of ML and HPC technologies. This involves building and operating CI/CD systems, orchestrating large GPU clusters, analyzing performance data with LLMs, and managing GPU capacity. The role focuses on the infrastructure supporting ML workloads, directly impacting the launch of new EC2 instance types. | Serve | 5 |
| Principal Developer Advocate – AWS Trainium, Trainium The Principal Developer Advocate will be the external face of AWS in ML hardware acceleration, focusing on AWS Trainium and the Neuron SDK. This role involves creating content, speaking at conferences, engaging with the ML developer community, and building partnerships to drive awareness and adoption of AWS's ML hardware solutions. The ideal candidate has a background in software engineering, ML research, or systems performance, with a passion for open-source AI and hardware-software co-design. | Serve | 5 |
| Software Development Engineer, Business Data Technology, Business Data Technology Software Development Engineer role focused on building and scaling data processing and machine learning infrastructure using open-source technologies like Ray and AWS services. The role involves designing, developing, and contributing to large-scale distributed systems and data platforms that support internal customers including ML specialists and research scientists. | Data | 5 |
| Senior Product Manager - Tech, Selling Partner Services Product Manager for Selling Partner Services at Amazon, focusing on leveraging Generative AI and ML to improve listing content generation for sellers. The role involves defining product vision, driving roadmap strategy, and collaborating with engineering and UX teams to deliver AI-enhanced solutions. | — | 5 |
| Sr. Worldwide Partner Specialist, GenAI - Bedrock, Data & AI GTM This role focuses on driving the adoption of Amazon Bedrock, a generative AI service, through strategic partnerships. The specialist will develop and execute go-to-market strategies, working with partners to build Bedrock-powered solutions and position AWS for enterprise generative AI workloads. The role requires a blend of strategic thinking, technical understanding of generative AI, and business development acumen, with an emphasis on partner-led revenue growth. | — | 5 |
| FedCiv AI Sales and GTM Lead, FedCiv Solution Area Team This role is a Go-to-Market (GTM) Lead for AI solutions within the Federal Civilian sector for AWS. The primary focus is on driving sales strategy, pipeline development, and solution positioning, rather than directly building or researching AI models. The role involves understanding customer needs, translating complex AI technologies into tangible outcomes, and working with various internal teams and external partners to accelerate deal velocity and adoption of AI solutions in regulated government environments. | — | 5 |
| Business Analyst, North America Surface Transportation Customer Experience (NAST CX) This Business Analyst role focuses on leveraging AI tools and predictive modeling to improve customer experience in North America Surface Transportation. The analyst will design, build, and maintain analytical frameworks, products, and deep-dive analyses, translating complex data into actionable insights. Responsibilities include using generative AI for data exploration, partnering with science teams on predictive models, automating analyses with AI-assisted workflows, and evaluating new AI/ML solutions. The role requires strong SQL, Excel, and data visualization skills, with a focus on data-driven decision making and cross-functional collaboration. | — | 5 |
| Senior Product Manager - Tech, Sponsored Products and Brands Senior Product Manager (Tech) for Amazon Ads' Conversational Ad Experiences team, focusing on leveraging generative AI to revolutionize advertising. The role involves defining product strategy, driving technology choices, leading innovation, and managing the end-to-end delivery of AI-powered ad experiences for shoppers and advertisers in conversational contexts. | Ship | 5 |
| Sr. Sales Specialist AI/ML This role is for a Sr. Sales Specialist focused on Generative AI and Machine Learning within Amazon Web Services (AWS). The primary responsibility is to drive the adoption of AWS's AI/ML and Generative AI services by identifying customer opportunities, understanding their needs, and positioning AWS solutions. The role involves full-cycle sales, from lead identification to revenue realization, and requires building trust with various customer personas. While the role is deeply involved with AI/ML services, it is a sales function, not a hands-on building or research role. | — | 5 |
| Program Manager, Last Mile Tech SME This role is for a Program Manager, Tech Subject Matter Expert (SME) in Amazon Logistics (AMZL) Last Mile network. The SME will partner with technology and operations teams to prioritize, develop, optimize, and sustain technology and processes. While the role mentions leveraging AI and ML to transform decision-making and automate human decisions, the core responsibilities focus on program management, process improvement, defining business requirements, and driving adoption of technology solutions. The role does not involve directly building or shipping AI/ML models or systems, but rather influencing and managing the integration of technology, including AI/ML-powered tools, into the operational workflow. Therefore, it is considered AI-adjacent. | — | 5 |
| Principal TPM, Core Search The Principal TPM will drive the end-to-end delivery of large-scale programs leveraging advanced machine learning, personalization, and ranking algorithms to enhance the Amazon search experience. This role requires strong technical depth in ML systems, a customer-centric approach, and effective communication across technical and business stakeholders. | Ship | 5 |
| Senior Customer Success Manager, Consumables-Household Goods This role focuses on driving growth and optimizing vendor performance on Amazon's marketplace through strategic planning, data analysis, and relationship management. It involves managing the product lifecycle, promotional planning, and collaborating with internal and external teams to enhance brand visibility and improve conversion rates. While the role mentions using generative AI tools, its core function is not AI/ML development. | — | 5 |
| Senior Solutions Architect , ISV Senior Solutions Architect for AWS ISV team, focusing on helping top software companies accelerate their global innovation journey by leveraging AWS Cloud capabilities, particularly in Data, Analytics, and Generative AI. The role involves owning the technical relationship with customers, providing strategic guidance, designing cloud-native reference architectures, and driving adoption of AWS services. | — | 5 |
| Technical Program Manager, Legal Operations This role is for a Senior Technical Program Manager in Amazon Legal Operations, focusing on driving technology initiatives and strategy for legal operations infrastructure. The role involves leading end-to-end lifecycle management of cross-functional technology programs, with a primary focus on Outside Counsel Management. It emphasizes the adoption of generative AI, machine learning, and automation to streamline workflows and improve legal service delivery. The TPM will oversee various legal tech platforms and drive integrations across Amazon's ecosystems, identifying opportunities to leverage AI and NLP. While the role champions AI adoption and works with AI-powered tools, it is not a hands-on AI/ML development or research role, but rather a product/program management role focused on integrating and scaling AI solutions within a legal operations context. | — | 5 |
| Software Engineer, EC2 Nitro Software Engineer role focused on the EC2 Nitro System's software-defined networking (SDN) dataplane stack, optimizing performance and availability for various applications including Machine Learning. Requires experience in Dataplane development, System Software/Embedded software, Cloud Computing, and Networking. | — | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Senior System Architect, Hardware Architecture Senior System Architect role at Amazon Devices, focusing on defining system architecture for consumer electronics products like Echo and FireTV. Responsibilities include interpreting product requirements, making key design decisions (SoC, compute architecture), tracking market trends, defining roadmaps, and working with silicon vendors. The role requires a hands-on engineer with breadth and depth in areas like computer architecture, SoC design, or applied machine learning, and involves leading cross-functional teams throughout the product development lifecycle. Basic qualifications include a Bachelor's degree in CS/CE/EE and 10+ years of experience or a PhD, with a background in SoC/Silicon engineering, computer architecture, ML, or embedded software. Preferred qualifications include a Master's/PhD, strong understanding of heterogeneous SoC architectures, and expertise in specific technical areas. | — | 5 |
| Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Hardware Engineering Services This role focuses on the hardware engineering for AWS cloud servers specifically designed for AI training and inference. The engineer will be responsible for the design, development, testing, and operation of these accelerated servers, working with interdisciplinary teams and manufacturing partners to deliver scalable solutions for AI/ML and HPC workloads. While the servers support AI, the role itself is in hardware engineering, not directly building AI models or agents. | — | 5 |
| Senior Customer Solutions Manager , Strategic Accounts This role is for a Senior Customer Solutions Manager at Amazon Web Services (AWS) who will guide technically advanced initiatives across Amazon, partnering with business units and global AI/ML initiatives. The role involves applying technical expertise and program leadership to work with engineers and business leaders on large-scale challenges, ensuring effective collaboration and customer outcomes. The individual will innovate on projects like generative AI enablement, lead cloud migrations, and partner with internal teams. They will interface with leadership, drive collaboration between various teams, and translate strategic initiatives into executable actions. The role requires a strong technical background, curiosity about cloud and AI, problem-solving abilities, and excellent communication skills. | — | 5 |
| Merchandise Planner, Zappos Merchandise Planner role at Zappos focused on driving business success through data-driven insights, assortment optimization, and category/brand planning. The role involves maximizing sales, profitability, and inventory efficiency by developing assortment plans, forecasts, and strategies. Collaboration with Buying, Marketing, and Finance is key. The candidate should have a deep understanding of e-commerce, trend analysis, and the ability to translate creative ideas into actionable insights. Responsibilities include financial planning, inventory management, forecasting, and optimizing sales/inventory productivity. The role also involves brainstorming improvements to planning systems and participating in A/B testing of new tools, including generative AI tools. | — | 5 |