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 Software Engineer, Speech MLOps Senior Software Engineer focused on MLOps for speech synthesis and GenAI experiences, involving building and maintaining ML infrastructure for the entire lifecycle on AWS. | ServePost-train | 8 |
| Principal Solutions Architect, CEE Enterprise, FSI Principal Solutions Architect for AWS, focusing on financial services in Central Eastern Europe. The role involves leading technical strategy, architecting and implementing cloud solutions, and guiding customers in adopting agentic AI workloads, autonomous systems, and intelligent automation. Key responsibilities include designing scalable, secure, and compliant architectures, championing innovation with agentic architecture patterns and AI-SDLC methodologies, and translating business challenges into cloud-native solutions. The role also involves thought leadership, mentoring other Solutions Architects, and contributing to the AWS knowledge base. |
| Agent |
| 7 |
| Software Development Engineer, Ring Cloud Computer Vision Software Development Engineer role focused on building and scaling AI-powered computer vision cloud services for Ring consumer electronics, serving tens of millions of users globally. Responsibilities include product definition, design, development, deployment, and operations of highly available and resilient cloud services. | Serve | 7 |
| Senior Solutions Architect, CEE Enterprise, FSI Senior Solutions Architect for AWS Financial Services Enterprise team in CEE, focusing on guiding large enterprise customers in adopting agentic AI workloads, autonomous systems, and intelligent automation. The role involves architecting and implementing cloud solutions using AWS technologies, translating business challenges into agentic, cloud-native solutions, and acting as a technical thought leader and advocate for AWS platform improvements in AI-SDLC and agentic AI. | Agent | 5 |
| AI Data Associate with German, AGI Data Services The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs at Amazon. This role involves working with diverse data types, delivering high-quality labeled data, analyzing root causes of errors, and proposing solutions to enhance labeling quality. | Data | 5 |
| Engagement Manager, AWS Generative AI Innovation Center This Engagement Manager role leads Generative AI transformation projects for AWS customers, focusing on driving adoption, orchestrating engagements, and ensuring successful delivery of AI solutions. The role involves developing AI adoption strategies, leveraging AWS Foundation Models and LLM solutions, and managing cross-functional teams. It is a customer-facing product role focused on delivering business outcomes through AI. | — | 5 |
| Quality Auditor - German, AGI Data Services - Ground Truth Quality This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics. | Data | 5 |
| Quality Auditor - German, AGI Data Services - Ground Truth Quality This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics. | Data | 5 |
| Senior Solutions Architect Manager, [Solutions Architecture, Europe Central] This role is for a Senior Solutions Architect Manager at AWS, focusing on leading a team of Solutions Architects to help customers leverage AWS services and generative AI to achieve business outcomes. The role involves building and leading teams, developing strategic customer relationships, acting as a technical thought leader, and guiding the design and implementation of cloud solutions with a focus on emerging technologies like generative AI. | — | 5 |
| Senior Data Associate with German, AGI Data Services This role involves foundational labeling of diverse data types (text, speech, audio, image, video) for generative AI and LLMs, focusing on quality, accuracy, and confidentiality. The associate will use in-house tools, analyze data patterns, identify process improvements, and provide floor support. The goal is to contribute to Amazon's responsible AI development. | Data | 5 |
| Solutions Architect, Public Sector Solutions Architect for AWS Public Sector, focusing on helping customers architect and implement solutions on the AWS platform. The role involves technical engagement, customer success, and understanding AWS technologies and market segments. While AI/ML is mentioned as a preferred qualification, it is not the core focus of the role. | — | 0 |
| Data Quality Specialist - German, AGI Data Services - G T Quality This role focuses on data quality within Amazon's AGI Data Services, ensuring comprehensive quality frameworks and optimizing workflows. Responsibilities include defining quality metrics, creating actions for issues, partnering with teams, analyzing data trends, monitoring performance, handling escalations, and suggesting improvements for quality tools. While the company is investing in generative AI and LLMs, this specific role is centered on data quality assurance and process optimization, not direct AI/ML model development or research. | — | 0 |
| Senior Training Specialist (French Language), AGI-DS This role is for a Senior Training Specialist focused on facilitating blended learning for the AGI-DS organization, which deals with generative AI and LLMs. The responsibilities include planning, scheduling, coordination, and execution of training, tracking completion through an LMS, identifying areas for improvement, and driving innovation in training approaches. The role requires proficiency in both English and French, strong communication and organizational skills, and knowledge of adult learning practices. While the organization works with AI, the role itself is focused on training delivery and management, not direct AI/ML development. | — | 0 |
| Senior Training Specialist (German Language), AGI-DS This role is for a Senior Training Specialist responsible for facilitating blended learning, managing training logistics, tracking completion via an LMS, and identifying areas for training improvement within the AGI-DS organization. The role involves developing and documenting processes to enhance training delivery and collaborating with stakeholders to ensure trainee success. | — | 0 |
| Senior Solutions Architect, AGS CEA | — | — |