Job description

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. Strong familiarity with one or more of the following: - 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 This role offers the opportunity to contribute to the future of AWS data center operations through innovative AI/ML solutions while working with advanced technologies at unprecedented scale. 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 AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. - 3+ years of non-internship professional software development experience - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution 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 amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D 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 amazon.jobs . USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually

Requirements

Must-haves

About the Data Center Gen AI Team
Position Impact
Strong familiarity with one or more of the following:
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
This role offers the opportunity to contribute to the future of AWS data center operations through innovative AI/ML solutions while working with advanced technologies at unprecedented scale.
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsaimlllmapireacttypescriptdesign systemci/cdjavamachine learning

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave