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 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
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
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
Experience programming with at least one software programming language
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually
