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 |
|---|---|---|
| Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Senior Deep Learning Architect focused on implementing and fine-tuning Generative AI solutions for AWS customers, involving customer interaction, solution design, experimentation, and providing guidance on adoption and best practices. The role bridges customer needs with technical implementation and feedback to product teams. | ShipPost-train | 8 |
| Sr. Data Analytics SA, WWSO This role focuses on designing and building "agent-ready" data platforms that enable AI agents to autonomously search, process, and analyze data. It involves advising customers on modern data strategies including RAG, semantic search, and natural language data exploration, while also leveraging traditional data analytics, search, and streaming services. The role requires deep technical expertise in the data lifecycle and adjacent domains like ML and security, with a strong emphasis on cloud-native and generative AI-native reference architectures. |
| AgentData |
| 7 |
| Senior AI Solution Architect This role is for a Senior AI Specialist Solutions Architect at AWS, focusing on helping customers adopt and scale GenAI/ML and Agentic technologies. The architect will build technical relationships, provide architectural guidance on security, cost, performance, and operational efficiency, and act as a voice of the customer internally. Responsibilities include crafting scalable architectures, creating technical content, and leading deep dives and workshops. The role requires experience in designing and implementing production AI systems, including LLMs, multi-modal FMs, fine-tuning, inference, RAG, FM evaluation, Vector DBs, Agentic workflows, and MLOps, with hands-on experience in AWS ecosystems like Bedrock, AgentCore, and SageMaker. Experience in regulated environments is preferred. | Agent | 7 |
| Specialist Solution Architect, Developer Transformation Solution Architect role focused on helping developers adopt modern cloud-native application development practices, leveraging AI-driven tools and AWS services. The role involves customer engagement, content creation, and enabling developer communities to accelerate the design, development, and deployment of production-quality cloud-native workloads. | — | 5 |
| Sr. Engagement Manager, Professional Services, Korea This role is for a Senior Engagement Manager at Amazon Web Services (AWS) Professional Services in Korea. The primary focus is on leading the delivery of complex cloud solution projects, bridging business requirements with technical solutions, and managing technical risks. While AWS services include machine learning, this role is centered on program and project management of cloud implementations, not on building or directly shipping AI/ML models or systems. | — | 0 |
| Delivery Consultant, Cloud Architect, Professional Services Korea This role is for a highly technical cloud computing architect at Amazon Web Services (AWS) Professional Services. The consultant will work with customers and partners to develop technical expertise, deliver pilot projects, workshops, and lead implementation projects. Responsibilities include assessing on-premise services, designing AWS environments, developing operating and governance models, assisting with application migration to AWS, and preparing customers for cloud operations through automation. | — | 0 |
| Associate Solutions Architect Solutions Architects (SA) help customers build infrastructures and applications at scale using AWS solutions. This role involves technical training, cloud computing concepts, and business acumen development, with a focus on customer enablement and best practices. | — | 0 |
| Sr Delivery Consultant - Telco, Professional Services This role is for a Senior Delivery Consultant at Amazon Web Services (AWS) Professional Services, specializing in the telecommunications industry. The consultant will design, implement, and manage AWS solutions for telecom customers, focusing on cloud and virtualized network functions, BSS, OSS, Private 5G, Public 5G, MEC, and enterprise IT applications. Key responsibilities include technical leadership, hands-on implementation of IaC and CI/CD workflows, customer advisory, project delivery, and automation for telecom operations. The role requires deep understanding of AWS services and telecom industry challenges, with an emphasis on cloud-native solutions and DevOps practices. | — | 0 |
| Engagement Manager, Professional Services, Korea This role is for an Engagement Manager at AWS Professional Services in Korea, focusing on leading the delivery of complex cloud solution projects. The role involves combining technical expertise with project leadership to bridge business requirements with technical solutions, manage technical risks, and ensure successful implementation of AWS-based solutions. It requires strong program/project management experience and technical credibility across diverse stakeholders, but does not involve direct AI/ML model development or research. | — | 0 |
| Professional Services 인턴, A2C Internship opportunity at Amazon Web Services (AWS) focusing on cloud computing solutions. The role involves gaining hands-on experience, developing business acumen, and learning about Amazon's culture. Specializations include DevOps, Cloud Infrastructure Architecture, Application Development, Data & Analytics (potentially using ML/AI), and Security Consulting. The program offers professional development and the chance to obtain AWS certifications. | — | 0 |