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Job description
Job ID: | Amazon.com Services LLC
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
About the Data Center Gen AI Team
Join the Data Center Gen AI team, where we build generative AI solutions for AWS data centers. Our systems orchestrate physical work processes across AWS's worldwide data centers, directly impacting millions of customers who rely on AWS services.
Position Impact
You'll contribute to transforming data center operations through AI/ML innovations, helping build the platform primitives that dozens of teams across the Data Center Community rely on. You'll work on developing intelligent systems that optimize technician workflows, automate decision-making processes, and enhance operational efficiency across AWS's global infrastructure while supporting AI-powered capabilities for a 30K+ globally distributed user base.
Core Technical Skills
Generative AI / Agentic Systems — LLM integration, prompt engineering, RAG architectures, tool-calling patterns, agent frameworks (Strands, LangChain)
Full-Stack Serverless Engineering — AWS Lambda, API Gateway, CloudFront, DynamoDB/RDS, EventBridge, SQS, CDK Infrastructure-as-Code
Frontend & SDK Development — React, TypeScript, Cloudscape Design System, component library development, streaming interfaces (SSE)
Search & Knowledge Systems — OpenSearch/Elasticsearch, vector embeddings, hybrid retrieval, document processing pipelines, semantic chunking
ML & Data Engineering — SageMaker, time-series analysis, anomaly detection, classification models, feature engineering, ETL pipelines
Platform & DevOps — CI/CD pipeline development, progressive deployment, synthetic monitoring, observability (CloudWatch, X-Ray, OpenTelemetry)
Ideal Candidate Profile
Thrives in ambiguous environments and is eager to learn and adapt quickly
Demonstrates a bias for action with the ability to deliver results in fast-paced settings
Builds and maintains solid technical depth while staying customer-focused
Shows genuine curiosity and enthusiasm for AI/ML advancements
Has working knowledge of AI/ML technology application (LLMs, agents, RAG, Skills, ML models)
Takes ownership of features and components end-to-end, driving them to completion with guidance from senior engineers
Balances pragmatic execution with creative problem-solving
Key job responsibilities
Design and develop AI/ML platform features and solutions, contributing to systems that serve both data center operations and engineering teams
Own end-to-end delivery of features and components, including AI integrations, deployment pipelines, and user-facing interfaces for non-ML experts
Collaborate with senior engineers and cross-functional partners to integrate ML solutions into existing DC workflows, ensuring system quality and scalability
Write clean, well-tested, and maintainable code while actively contributing to improvements in development processes, particularly for GenAI development and deployment
Participate in technical design discussions and code reviews, bringing a customer-focused perspective to architectural decisions
Design and implement reusable components and tools that enhance team productivity and system reliability
Stay current with AI/ML advancements and proactively identify opportunities to apply new techniques to data center challenges
About the team
About AWS
Diverse Experiences
Why AWS?
Inclusive Team Culture
Mentorship & Career Growth
Work/Life Balance
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&DD insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .
USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.