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 Partner Solution Architect, ANZ Partner Team This role focuses on accelerating Generative AI, Agentic AI, and ML adoption by acting as a trusted technical advisor to AWS partners. The Senior AI Partner Solutions Architect will design and implement scalable AI/ML solutions using AWS services, guide partners on architectural patterns including agentic workflows and RAG, and deliver enablement programs. The ideal candidate has extensive hands-on experience with production AI systems and influencing technical and business decision-makers. | Agent | 8 |
| Senior AI/ML Consultant, AWS Professional Services Senior AI/ML Consultant role focused on helping enterprise customers develop and deploy ML and GenAI solutions using AWS services. Responsibilities include understanding business challenges, designing solutions, building and validating models, and collaborating with engineering teams for production deployment. | Agent |
| 8 |
| Data Scientist, Network Fabric Engineering Data Scientist role focused on defining and driving the data science strategy for network operations automation, including agentic systems. The role involves defining metrics, building risk and reliability models, and evaluating the performance of automation and AI systems to improve network availability. It emphasizes statistical rigor and evidence-based decision-making within a team of network and software engineers. | Eval GateAgent | 7 |
| Data Scientist, Network Fabric Engineering The Data Scientist will develop risk and reliability models for network availability using telemetry data, build operational analytics and dashboards, and design experiments to evaluate automation, including agentic systems. The role focuses on providing evidence for decisions, measuring outcomes of operational changes, and improving data quality for availability programs. | AgentEval Gate | 7 |
| Sr AI Solution Architect, AI Specialist Solutions Architect team Senior AI Solutions Architect for AWS, focusing on guiding enterprise customers in adopting and scaling GenAI/ML and Agentic technologies. The role involves building technical relationships, designing scalable architectures, providing technical leadership, and creating content like whitepapers and workshops. It requires hands-on experience with AWS AI services, implementing solutions including RAG, fine-tuning, inference, and agentic workflows, and a strong understanding of production AI systems. | AgentServe | 7 |
| Sr AI Solution Architect, AI Specialist Solutions Architect team This role is for a Sr. AI Solution Architect at AWS, focusing on helping customers adopt and scale GenAI/ML and Agentic technologies. The architect will build technical relationships, design 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 contributing reusable assets. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, deployment, distributed inference, and MLOps. | AgentServe | 7 |
| Pr. Delivery Consultant, AWS Professional Services Lead a landmark Agentic AI-powered application modernisation program for a large mining and resources company, transitioning GenAI prototypes to production. This role involves strategic leadership, executive stakeholder management, and orchestrating a cross-functional team to modernize a complex legacy platform using generative and agentic AI. | Agent | 7 |
| Delivery Consultant, AWS Professional Services Seeking a hands-on Senior Consultant with deep software engineering, Generative AI, and cloud architecture expertise to deliver complex technical consulting engagements within AWS Professional Services. The role involves designing and building end-to-end applications powered by Generative AI, including agentic development and AI-assisted software development. | Agent | 7 |
| Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services Senior Full-Stack Software Development Engineer role focused on building end-to-end Generative AI applications and agentic systems for AWS customers. The role involves designing, developing, and deploying cloud-native applications using AWS services, with a strong emphasis on AI-assisted software development and agentic architectures. | Agent | 7 |
| Delivery Consultant , AWS Professional Services Full-stack software engineer role focused on building end-to-end applications powered by Generative AI and AI agents using AWS services. The role involves designing, developing, and delivering cloud-native applications, with a strong emphasis on leveraging AI-assisted development tools and agentic workflows. | AgentServe | 7 |
| Senior AI/ML Consultant, AWS Professional Services Senior AI/ML Consultant for AWS Professional Services, focusing on developing and deploying ML and Generative AI solutions for enterprise customers. This role involves understanding customer business challenges, designing and building solutions using AWS ML services, collaborating with engineering teams, and providing technical sales support and training. | AgentServe | 7 |
| Senior AI/ML Solution Architect, ANZ Public Sector Senior AI/ML Solution Architect for AWS Public Sector in ANZ, focusing on driving AI/ML adoption and modernization for government and education customers. The role involves deep technical engagement across agentic AI, traditional AI/ML, and MLOps, partnering with sales specialists to achieve technical and sales outcomes. | AgentData | 7 |
| 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 |
| 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 |
| Senior AI Specialist Solutions Architect, AWS This role focuses on guiding enterprise customers in adopting and scaling GenAI/ML and Agentic technologies on AWS. The Specialist Solutions Architect will act as a trusted advisor, designing technical architectures, providing recommendations on various aspects of cloud services, and influencing the roadmap of AWS GenAI/ML and Agentic features. The role involves creating and sharing best practices, technical content, and reference architectures, as well as evangelizing AWS technology through various channels. | Agent | 7 |
| Senior Delivery Consultant: GenAI FullStack SDE, AWS Professional Services Senior Delivery Consultant (GenAI FullStack SDE) at AWS Professional Services, focusing on building end-to-end Generative AI applications for enterprise customers. The role involves full-stack development, designing and implementing AI agent architectures, and leveraging AI-powered development tools. The primary focus is on delivering solutions using AWS services, with a secondary emphasis on the underlying inference infrastructure. | AgentServe | 7 |
| 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 Generative AI, ML, and Agentic technologies. The architect will build technical relationships, provide architectural guidance, and translate customer needs into scalable solutions on AWS. Responsibilities include advising on security, cost, performance, and operational efficiency, contributing to AWS service roadmaps, and creating technical content like whitepapers and workshops. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and deploying LLMs. | AgentServe | 7 |
| Principal AI Solution Architect, Data & AI Specialist Solutions Architect team This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments. The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation. You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects. | AgentServe | 7 |
| 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 |