Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Amazon currently has 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. Prototyping Architect, AWS Prototyping and AI Customer Engineering (PACE) This role focuses on architecting and building Generative AI and Agentic AI prototypes for AWS customers, leveraging LLMs, RAG, function calling, autonomous agents, and multi-agent orchestration. The emphasis is on rapid development and demonstrating the potential of these technologies to influence customer adoption. | Agent | 9 |
| Machine Learning Engineer , Amazon Customer Service Machine Learning Engineer on the Data Intelligence team within Amazon Customer Service, responsible for designing and building scalable AI/ML systems, end-to-end AI pipelines, and production-grade AI services including generative AI, LLMs, and intelligent agent systems. The role involves building infrastructure for the complete AI model lifecycle, handling high-volume inference, implementing AI governance, and developing AI-powered products. | Agent |
| 8 |
| Applied Scientist, Sales AI This role focuses on building AI/ML solutions for the Ad Sales business, specifically creating customer-facing recommendations and enhancing end-to-end workflows with Generative AI. The scientist will leverage quantitative modeling techniques like Sequential Recommender Systems, Deep Learning, and Reinforcement Learning, and use NLP and Generative AI for explainability. The role involves research, model development, A/B testing, and collaboration with engineering and product teams to deliver production-ready solutions. | AgentPost-train | 8 |
| Applied Scientist II, Amazon Private Brands Applied Scientist II role focused on building and deploying Generative AI and Machine Learning solutions for Amazon Private Brands' product assortment, pricing, and merchandising. The role involves adapting state-of-the-art research, inventing novel solutions, developing prototypes, and implementing production software, with a focus on agentic AI and large language models. Responsibilities include partnering with business stakeholders, adapting ML solutions, inventing and deploying novel science solutions, reviewing team's work, and publishing research. | Agent | 7 |
| Software Development Engineer, AFT Quality Software Development Engineer role focused on building and improving automated, algorithmic solutions using machine learning, computer vision, and robotics to prevent, detect, and correct inventory issues in Amazon's fulfillment centers. The role involves building new software services and tools, designing production systems, and working with research scientists on next-generation intelligent systems. | AgentServe | 7 |
| Software Development Engineer, AFT Quality Software Development Engineer role focused on building and improving automated, algorithmic solutions using machine learning, computer vision, and robotics to prevent, detect, and correct inventory issues in Amazon's fulfillment centers. The role involves building new software services and tools, designing production systems, and working with research scientists on next-generation intelligent systems. | AgentServe | 7 |
| Sr. Product Manager, Alexa Canada Senior Product Manager for Alexa Canada, focusing on expanding Alexa's presence in the Canadian market. This role involves defining user needs, creating product roadmaps, understanding market dynamics (including emerging AI/ML), developing requirements, leading cross-functional teams, owning the customer experience, tracking launches, managing trade-offs, monitoring performance, and working closely with engineering. The role requires technical depth to evaluate AI model behavior and technical approaches, and a proactive exploration of new AI capabilities like large language models and agentic AI. | Agent | 7 |
| Software Development Engineer, RDS Security Monitoring, RDS Security Monitoring Software Development Engineer role focused on building and operating agentic AI solutions for security monitoring of relational databases (Aurora and RDS) at massive scale. The role involves capturing and analyzing security telemetry to identify and mitigate threats, requiring strong distributed systems engineering skills and operational excellence. | Agent | 7 |
| Applied Scientist, Alexa Smart Home Applied Scientist role focused on building end-to-end AI systems for Alexa Smart Home, leveraging ML, NLP, and computer vision. Requires PhD or Master's with significant experience in model building, publications, and knowledge of LLMs, RAG, multi-modal LLMs, and recommender systems. The role involves owning system design, development, and driving production-level projects. | Agent | 7 |
| Architecte IA/ML Senior | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services Senior AI/ML Architect role within AWS Professional Services, focusing on building and deploying ML and Generative AI solutions for Canadian Public Sector clients. The role involves understanding business needs, designing solutions using AWS ML services, collaborating with engineering teams, and supporting projects from inception to production. | Agent | 7 |
| Software Development Engineer, GenAI Software Development Engineer role focused on productizing Generative AI experiences for advertisers at Amazon Advertising. The role involves building customer-facing features, designing and deploying scalable distributed services, and working with various AI technologies like diffusion models, LLMs, computer vision, and reinforcement learning. It requires strong full-stack coding expertise and an understanding of AI agent concepts. | 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 |
| 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 |
| Software Development Engineer, Alexa Connections Software Development Engineer role focused on building agentic APIs and integrating advanced AI technologies (Generative, Agentic, Real-time AI) into Alexa's communication features. The role involves influencing product strategy, optimizing for low latency and scalability, and ensuring high-quality software delivery within an Agile environment. | Agent | 7 |
| Sr. Software Development Engineer, Alexa Connections Senior Software Development Engineer role focused on building agentic APIs and cloud services for Alexa Connections, leveraging Generative, Agentic, and Real-time AI to enhance conversational experiences. The role involves influencing product strategy, optimizing software for performance, and leading integration of AI systems. | Agent | 7 |
| Software Development Engineer, Alexa Connections Software Development Engineer focused on building and scaling real-time agentic AI systems for Alexa's communication features, involving design, architecture, and full-stack development. | Agent | 7 |
| Software Development Engineer, Alexa Connections Software Development Engineer role focused on building agentic APIs and integrating advanced AI systems (Generative, Agentic, Real-time AI) into Alexa's communication features, aiming for low latency, high reliability, and scalability. | Agent | 7 |
| Software Development Engineer, Alexa Connections Software Development Engineer role focused on building agentic APIs and integrating advanced AI technologies (Generative, Agentic, Real-time AI) into Alexa's communication features. The role involves influencing product strategy, optimizing for low latency and scalability, and ensuring high-quality software delivery within an Agile environment. | Agent | 7 |
| Applied Scientist, Sales AI Applied Scientist role focused on building AI/ML solutions for Amazon's Advertising Sales business. The role involves developing and implementing models for insights, recommendations, and generative AI-powered workflows to improve sales team efficiency and customer success. It requires expertise in quantitative modeling, deep learning, RL, and NLP, with a focus on production deployment and A/B experimentation. | AgentPost-train | 7 |
| Applied Scientist, Sales AI This role focuses on building AI agents to optimize end-to-end workflows for Amazon's Advertising Sales organization. It involves applying expertise in NLP, LLMs, Deep Learning, Reinforcement Learning, and Recommender Systems to create and refine production-ready models, with a strong emphasis on autonomous agents operating at scale. The scientist will also collaborate with engineering and product teams, conduct A/B experiments, and contribute to scientific publications. | Agent | 7 |
| Software Development Engineer, Middle Mile Disruption Detection and Execution Software Development Engineer role focused on building and deploying ML and GenAI models to resolve disruptions in Amazon's Middle Mile Transportation network. The role involves developing intelligent systems for predictive analytics and automation, operating high-volume, low-latency services, and collaborating with stakeholders. | Agent | 7 |
| Software Development Engineer, Middle Mile Disruption Management Software Development Engineer role focused on building intelligent systems powered by ML and GenAI to resolve transportation disruptions. The role involves building and deploying ML models for predictive analytics and leveraging generative AI for automation and decision support within Amazon's Middle Mile Transportation Technology team. | Agent | 7 |
