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.
Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1573 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1023 roles), Canada (59 roles), United Kingdom (47 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr AI Solution Architect, Data & AI Specialist Solutions Architect team This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale GenAI, ML, and Agentic technologies. The architect will build technical relationships, craft scalable architectures, provide recommendations on various aspects of cloud adoption, and act as the voice of the customer internally. Responsibilities include creating technical content, leading deep dives, and ensuring solutions are production-ready. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and MLOps. | Agent | 7 |
| Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Software Development Engineer focused on AI for Prime Video's personalization and discovery, developing and guiding machine learning models from scratch. The role involves using Deep learning, GenAI, and Reinforcement Learning for search systems, leading end-to-end AI solution delivery, and conducting A/B experiments. While research publication is encouraged, the primary focus is on engineering and delivering AI solutions for customer-facing products. |
| Agent |
| 7 |
| Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Software Development Engineer focused on AI for Prime Video's personalization and discovery, developing and guiding machine learning models from scratch. The role involves using Deep learning, GenAI, and Reinforcement Learning for search systems, leading end-to-end AI solution delivery, and conducting A/B experiments. While research publication is encouraged, the primary focus is on engineering and delivering AI solutions for customer-facing products. | Agent | 7 |
| Strategic Agentic Modernisation Consultant, AWS Professional Services Lead a landmark Agentic AI-powered application modernisation program for a large mining and resources company, modernizing a complex legacy platform using generative & agentic AI tooling and cloud-native architecture. This role involves strategic leadership, executive stakeholder management, and orchestrating a cross-functional team to deliver value and build customer self-sufficiency. | Agent | 7 |
| Strategic Infrastructure Modernisation Consultant, AWS Professional Services This role leads the design and deployment of a modern digital foundations architecture and enterprise AI platform for a large mining company. It involves scaling an AI platform to support 500+ concurrent agents, implementing an edge-to-cloud architecture across remote sites, and leading a team of engineers. The focus is on hardening the AI platform, enabling citizen development, and translating technical decisions into business outcomes. | AgentServe | 7 |
| Applied Scientist II, On Road Experience Applied Scientist II role focused on building machine learning models and algorithms for the Last Mile Driver Experience team at Amazon. The role involves working with data streams like video and telematics, and applying ML in areas such as mapping, pattern detection, and computer vision to improve delivery operations. The scientist will drive designs from ideation to production, focusing on building v1 products and delivering results in an ambiguous environment. | Agent | 7 |
| Business Intelligence Engineer, Supply Chain Data Science This role focuses on designing and delivering AI-native data architectures and business intelligence solutions for supply chain operations, integrating with AI agents to provide self-service analytics and automated insights. The engineer will own cloud infrastructure strategy, technical budget optimization, and architect data pipelines for GenAI consumption, ensuring scalability and extensibility across global operations. | Agent | 7 |
| Software Dev Engineer II, Conversational Ad Experiences Software Development Engineer II for the Conversational Ad Experiences (CAX) team within Amazon Ads, focusing on sponsored conversational shopping experiences powered by large language models (LLMs). The role involves designing and building net new conversational ad experiences on the Search page, integrating AI-driven solutions, and creating scalable systems for personalized ad experiences. This position requires building large-scale, low-latency distributed systems, ML infrastructure, data processing pipelines, and contributing to LLMOps, with a focus on customer-facing functionality impacting millions of shoppers. | Agent | 7 |
| Software Development Engineer, Alexa AI Software Development Engineer to design, build, and operate production systems for Alexa's AI runtime, focusing on agent communication platforms, intelligent request routing, and unified agent ingress. The role involves building infrastructure for AI agents and transforming LLM outputs into real-time responses. | AgentServe | 7 |
| Solutions Architect II, National Security Solutions Architecture Team Solutions Architect focused on designing and implementing AI/ML and agentic AI solutions for National Security customers, leveraging AWS services. The role involves customer engagement, technical thought leadership, architecture design, and influencing product development for classified environments. | Agent | 7 |
| Senior Software Development Engineer, Sponsored Products and Brands Senior Software Development Engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). The role involves driving major product and engineering initiatives, building large-scale, low-latency distributed systems, and developing ML infrastructure and data processing pipelines. The engineer will partner with scientists to implement LLM models in production and contribute to LLMOps, impacting customer-facing functionality for millions of shoppers. | Agent | 7 |
| Data Scientist , Sidewalk Data Scientist role focused on building and deploying ML models for Amazon Sidewalk's IoT network. Responsibilities include developing coverage forecast models, analyzing network telemetry, creating geospatial models, designing anomaly detection systems, and researching Generative AI/LLM solutions for troubleshooting. The role involves productionizing models and working with data engineers and product managers. | AgentData | 7 |
| Data Scientist II, Intelligent Talent Acquisition This role focuses on leveraging Gen AI and multi-agent systems to revolutionize hiring processes at Amazon. The Data Scientist will develop and deploy ML models for anomaly detection, root cause analysis, and candidate quality optimization, aiming to improve efficiency and reduce defect detection time. The role involves working with AWS infrastructure and designing experiments to evaluate system stability and attract top talent. | AgentServe | 7 |
| Principal Economist, Ads Econ This role focuses on developing and applying advanced econometric and machine learning models for Amazon's advertising products. The primary responsibilities include designing and analyzing large-scale experiments, developing novel causal inference methodologies for attribution and incrementality measurement, inventing optimization frameworks for bidding and targeting strategies, and defining the science roadmap for ads measurement and optimization. The role also involves building structural and reduced-form models to quantify advertising impact on consumer behavior and partnering with engineering teams to operationalize these models into production systems. The position requires a PhD in a quantitative field, extensive industry experience, and proficiency in big data and machine learning. | AgentData | 7 |
| Software Development Engineer II, Amazon Software Development Engineer II at Amazon on the Foundational AI — Quick & Automation Platform Team. This role focuses on building and scaling an AI-powered automation platform for internal Amazon Quick Suite features, enabling natural language workflow automation, agentic AI capabilities, and enterprise integrations at massive scale. The engineer will design and deliver features, own end-to-end delivery, and work at the intersection of AI/ML, distributed systems, and developer productivity. | AgentServe | 7 |
| Principal, Solutions Architect - Media, Entertainment, Games & Sports , Solutions Architecture - AWSI-MEGS Direct Accounts This role is for a Principal Solutions Architect focused on the Media, Entertainment, Games, and Sports (MEGS) vertical within AWS. The primary responsibility is to act as a strategic technical leader, driving long-term thought leadership, identifying high-value opportunities, and positioning AWS as a transformational partner for strategic customers. The role involves operating at the C-suite and VP level, advising senior technology leaders on cloud strategy and architecture, and designing scalable solutions for media, gaming, streaming, and sports workloads. A significant focus is on leveraging innovations in data patterns and AI, including Generative AI, to help customers re-imagine and transform existing systems. The role also involves evaluating new technologies, building reusable frameworks, and influencing AWS roadmaps based on customer needs. Experience with Data & AI technologies, including AI/ML and GenAI, is required, along with a strong background in cloud solutions architecture and customer-facing technical roles. | Agent | 7 |
| Senior Applied Scientist, Full-funnel Agentic Intelligence and Models Senior Applied Scientist role focused on developing core machine learning models for Full Funnel Campaigns in Amazon Advertising, aiming to understand and optimize shopping journeys across various ad products and publishers. Requires experience in building ML models for business applications and deep learning methods. | Agent | 7 |
| Software Development Engineer, AGI - Web information retrieval Software Development Engineer to develop a multi-modal, multi-lingual web-scale information retrieval system combining LLMs with retrieval systems for question-answering, knowledge synthesis, and information grounding. Focus on building high-throughput data pipelines, optimizing core algorithms and ranking models, designing efficient data structures, optimizing performance/scalability/reliability, integrating ML models, developing control plane systems, and implementing real-time updates and streaming algorithms. | AgentServe | 7 |
| Sr. Product Manager - Technical (External Services), AWS Startups, AWS Startups The Senior Product Manager, Technical (External Services) for AWS Startups will own the product strategy, roadmap, and external delivery of a new AI-powered startup guidance experience. This role involves defining and driving the product roadmap for an intelligent agent that leverages generative AI to provide personalized technical guidance, architecture recommendations, and growth insights to early-stage founders. The product will be delivered externally through AWS's startup portal and integrated into developer IDEs, requiring ownership of APIs, developer experiences, GTM, pricing, and operational excellence for a customer-facing AWS product. | Agent | 7 |
| Software Development Engineer, Amazon Private Brands Software Development Engineer role focused on building autonomous agent systems for product lifecycle management, integrating tool use, memory, and reasoning. The role involves defining architecture and evaluation frameworks for agentic workflows, including orchestration, guardrails, and reliability mechanisms. | Agent | 7 |
| Senior Security Engineer, AI Red Team, Threat Operations Senior Security Engineer for an AI Red Team, focusing on offensive security operations, research, and automation for AI systems and infrastructure. Responsibilities include conducting Red Team operations, performing security research on AI threats, discovering vulnerabilities, developing automated tools, and collaborating with engineering and research teams to improve AI security posture. | Agent | 7 |
| Senior Applied Scientist, JP Science and Data - AVS ProServe Senior Applied Scientist role focused on developing and applying machine learning algorithms to solve business problems for vendors, enabling them to understand customers and identify growth opportunities. The role involves building orchestrated ML solutions, translating model outputs into actionable insights, measuring business impact, and leading cross-functional collaboration. | Agent | 7 |
| Senior Data Scientist, JP Seller Services Senior Data Scientist for Amazon JP Seller Services, focusing on developing and scaling AI-native solutions, including recommendation models using generative AI and ML, to drive seller growth and optimize engagement strategies on Amazon Marketplace. | Agent | 7 |
| Applied Scientist, Sales AI This role focuses on building and refining Machine Learning and Generative AI models for the Ad Sales business, aiming to optimize workflows, provide insights, and drive efficiency for account teams. It involves conceptualizing research, guiding technical approaches, conducting data analysis, running A/B experiments, and working with engineers to deliver end-to-end solutions into production. | Agent | 7 |
| Sr. Business Intelligence Engineer, ASP Ops - WWSO Sales & Biz Ops This role focuses on leveraging AI and Agentic technologies to build data products, including autonomous agents, RAG pipelines, and multi-agent orchestration frameworks. The engineer will architect and develop scalable data solutions, build ETL pipelines, statistical models, and machine learning solutions, and partner with business owners to integrate generative AI and automation into programs. The role requires deep experience in SQL, data modeling, AWS data services, and hands-on experience with LLMs, Agentic Frameworks, and RAG architectures. | AgentData | 7 |
| Process Analyst, EU Central Operations Analytics This role focuses on designing and implementing AI-powered automation solutions and machine learning models for logistics operations, aiming to enhance route planning, scheduling, and delivery execution. The analyst will leverage advanced SQL, Python/R, and AI technologies to create intelligent dashboards, predictive models, and automated reporting systems, working at the intersection of operations, analytics, and automation to drive efficiency and scale across the network. | Agent | 7 |
| Applied Scientist III - AMZ9898584 Applied Scientist III role focused on designing, developing, evaluating, and deploying data-driven models and analytical solutions for ML and NL applications. This involves applying statistical modeling, optimization, and ML techniques, building and deploying models in production, and researching novel approaches. The role also includes mentoring junior staff. | Agent | 7 |
| Solutions Developer, Prototyping and Customer Engineering (PACE) Solutions Developer role focused on building prototypes and customer-facing solutions using AWS services, with a strong emphasis on Machine Learning, Agentic Design, and Generative AI. The role involves rapid development, experimentation with new technologies, and translating business problems into technical solutions. | Agent | 7 |
| Product Manager III, DSP Capacity Planning Product Manager to own the intersection of technology, partner experience, and operational strategy within DSP Capacity Planning. This role will build the team's AI product strategy from a blank canvas, own the roadmap for DSP-facing technology, and serve as the Voice of the DSP. The role requires a product leader who can drive alignment across engineering, science, operations, and business development. | Agent | 7 |
| Principal PMT-ES, Kiro Principal Product Manager for Kiro, an AI-powered software development environment focused on agentic systems. The role involves defining product vision, strategy, and go-to-market plans for innovative AI products, collaborating with engineering and science leaders, and working with customers to define operational excellence in the context of AI agents. | Agent | 7 |
| Sr. Software Development Engineer, Amazon Shopping (Rufus) Senior Software Development Engineer role focused on building and scaling agentic AI applications powered by large language models for the Amazon Shopping experience. The role involves architecting, designing, and developing back-end systems and online services, including service orchestration, agent frameworks, and real-time processing. It also includes contributing to the technical roadmap, service reliability, and optimizations for intelligent agents that reason, plan, and execute tasks. The team aims to improve search using large-scale foundation models and empower conversational applications for online shopping. | Agent | 7 |
| Machine Learning Engineer, Amazon Customer Service Machine Learning Engineer at Amazon Customer Service focused on building and scaling Generative AI solutions to improve customer experiences and empower associates. The role involves end-to-end feature development, integrating LLMs into production systems, and contributing to architectural decisions. | Agent | 7 |
| Sr. Software Dev Engineer, Healthcare AI Senior Software Development Engineer role in AWS Healthcare AI, focusing on building next-generation AI solutions for healthcare providers. The role involves designing and implementing distributed systems and AI-powered healthcare solutions, leveraging generative and agentic AI to improve clinical and administrative workflows. | Agent | 7 |
| Manager, AI Platform Engineering , Agent Platform Organization Manager of AI Platform Engineering to lead a team building and operating data pipelines, models, and platform infrastructure for analytics, science, and AI initiatives. The role involves owning delivery and operational health, mentoring a team, and evolving self-service offerings towards agent-driven approaches. The team will build multi-agent solutions to automate data engineering and BI tasks, and develop/deploy agents for analytics use cases like monitoring and anomaly detection. Collaboration with business intelligence, applied science, and product teams is key. | AgentData | 7 |
| Sr. Applied Scientist, Amazon Publisher Monetization - Ads This role focuses on developing and launching AI-based solutions for advertising, specifically in contextual targeting and ad syndication. The scientist will work with generative AI, computer vision, and large language models to maximize yield and deliver engaging ads. Responsibilities include partnering with Product and Engineering, driving end-to-end applied science projects, providing technical leadership, and researching new machine learning approaches. | Agent | 7 |
| Software Development Engineer, Prime Video Personalization & Discovery, Prime Video Personalization & Discovery Software Development Engineer role focused on developing AI solutions for Prime Video's personalization and discovery systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves building and guiding ML models end-to-end, leading cross-team collaboration, and conducting experiments to evaluate solutions. It also includes mentoring junior engineers and staying updated with the latest modeling techniques. | AgentPost-train | 7 |
| Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Software Development Engineer focused on AI for Prime Video's personalization and discovery systems. The role involves developing AI solutions using deep learning, GenAI, and reinforcement learning, leading end-to-end delivery, conducting experiments, and publishing research. It's an engineering role with a strong research component, aiming to improve customer experience for millions of users. | Agent | 7 |
| Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Software Development Engineer focused on AI for Prime Video's personalization and discovery systems. The role involves developing AI solutions using deep learning, GenAI, and reinforcement learning, leading end-to-end delivery, conducting experiments, and publishing research. It's an engineering role with a strong research component, aiming to improve customer experience for millions of users. | Agent | 7 |
| Sr Technical Program Manager - Prime Video, AI Automation The Sr. Technical Program Manager will lead the planning, execution, and launch of a transformation program focused on architectural transformation and infrastructure efficiency within Prime Video. This role requires a strong understanding of AI technologies, including LLMs, recommendation systems, and autonomous agents, to guide cross-functional teams in adopting and integrating AI solutions. The TPM will identify and mitigate risks associated with AI deployments, partner with leaders to align initiatives with objectives, and drive technical decisions to optimize performance and customer experience. | Agent | 7 |
| AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail This role is an AI/ML Solutions Architect focused on helping AWS customers design and adopt Generative AI and Machine Learning solutions on AWS. The role involves deep technical expertise in AWS AI/ML services, customer engagement, and acting as a liaison between customers and AWS service teams. The primary focus is on enabling customers to build and deploy AI/ML solutions, particularly GenAI, on the AWS platform. | Agent | 7 |
| Senior Software Development Engineer, Ads-Full-Funnel Agentic Intelligence Senior Software Engineer to lead technical vision and innovation for a new team building a horizontal agentic AI layer for Amazon Advertising. The role involves architecting and implementing robust AI-powered marketing expert systems that reason, plan, and act on behalf of advertisers. | Agent | 7 |
| ECAD Application Development Engineer, Design Technologies This role focuses on developing and customizing ECAD applications for hardware engineering teams, with a significant emphasis on integrating AI/ML technologies to enable intelligent automation, design review, and design generation within traditional CAD workflows. The engineer will collaborate with AI/ML teams to integrate LLMs and machine learning capabilities, develop custom workflows, and support engineering tools. | Agent | 7 |
| Data Engineer, Ring Agent Platforms Data Engineer role focused on building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The role involves owning the data lifecycle and building multi-agent solutions to automate data engineering tasks, with contributions to the shared data platform. | AgentData | 7 |
| SDE I FTC, RSPT Software Development Engineer I (SDE I) role focused on building Gen AI solutions for freight logistics, including carrier-facing features and internal tools to boost developer productivity. The role involves end-to-end software delivery, leveraging technologies like Agentcore and Bedrock, and optimizing pricing algorithms within Amazon's middle-mile network. | Agent | 7 |
| Senior AI Innovation & GTM Programs Lead, Applied AI Solutions, Applied AI Solutions The role is for a Senior AI Innovation & GTM Programs Lead within AWS Applied AI Solutions. The primary focus is on driving organizational effectiveness by building AI-powered tools and automation using technologies like Amazon QuickSight and Kiro to streamline Go-To-Market (GTM) processes, enhance account planning, and accelerate business growth. The role involves owning the technical roadmap for AI innovation, prototyping new capabilities, and translating business needs into technical solutions. | Agent | 7 |
| Sr. TPM - SF Agentic AI, Amazon Business GTM Sales Technology Technical Program Manager for Salesforce Agentic AI at Amazon Business, focusing on delivering GenAI and agentic automation programs to transform sales and account management operations. This role involves driving cross-functional alignment, translating business requirements into technical plans, evaluating integration architectures, and leading post-launch operations for AI-powered features. | Agent | 7 |
| Software Dev Engineer III, Conversational Ad Experiences Software Development Engineer III role focused on building conversational ad experiences using generative AI and LLMs for Amazon Ads. The role involves designing and developing new features, integrating AI solutions, pioneering conversational AI approaches, and creating scalable, low-latency systems. It requires strong software engineering skills and collaboration with science teams to implement LLM models in production and contribute to LLMOps. | Agent | 7 |
| Applied Scientist Intern This Applied Scientist Intern role at Audible focuses on developing innovative AI solutions for recommendation, content understanding, and AI-powered product experiences. The intern will design and implement ML models, frameworks, and evaluation methodologies, enabling self-service automation and building AI systems that drive internal productivity and new product features. The role emphasizes practical implementation, collaboration with cross-functional teams, and raising AI fluency across the organization. | AgentEval Gate | 7 |
| AI Builder, Amazon Ads Marketing This role focuses on building AI-powered prototype solutions, agents, and automations to improve marketer productivity within Amazon Ads. The AI Builder will work with stakeholders to identify pain points, develop AI-native workflows, and ship AI use cases from pilot to production, establishing reusable frameworks and setting standards for AI transformation in marketing. | Agent | 7 |
| Applied Scientist, WWOS Tech This role focuses on building and deploying ML models to detect theft, fraud, and organized crime within Amazon's global supply chain and operations. The scientist will own KPIs, automate detection, analyze operational defects, contribute to strategy, and integrate ML models into applications. The role requires a PhD or Master's with significant applied research experience in ML, particularly in fraud detection and organized crime. | Agent | 7 |
