Software Development Manager, Data Center GenAI

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were 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 were looking for talented people who want to help.

Youll join a diverse team of design engineers quality/reliability engineers supply chain specialists field engineers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for quality and reliability while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

As the Software Development Manager for the Eva Data Center Assistant team you will lead a team of Software Development Engineers building AWS data centers agentic GenAI platform that powers AI-assisted operations across the global data center infrastructure. You will own the technical vision and strategic roadmap for the Eva platform driving investments across agentic AI systems full-stack serverless engineering search and knowledge systems capabilities. Your leadership will shape the direction of a next-generation AI/ML platform that orchestrates physical work processes automates decision-making and enhances operational efficiency for a 30K globally distributed user base. You will champion platform thinking building reusable primitives APIs and extensible components that dozens of teams across the Data Center Community build upon.

In this role you will drive the design and delivery of production-grade agentic systems including LLM orchestration tool-calling patterns agent frameworks and intelligent workflow automation. You will partner closely with cross-functional stakeholders including data center operations controls engineering product management and peer engineering teams to translate complex operational needs into scalable AI-powered solutions. You will establish and raise the bar on engineering practices including code reviews CI/CD progressive deployment observability and operational readiness for ML/AI systems in production. You will also own hiring strategy and talent development building a high-performing engineering team with deep expertise in generative AI distributed systems and full-stack development while communicating platform strategy technical roadmaps and business impact to senior leadership with clarity and conviction.

Key job responsibilities
- Lead and mentor a team of SDEs building and operating the Eva agentic GenAI platform fostering a culture of ownership innovation and operational excellence
- Own the end-to-end technical roadmap for Eva balancing investments across agentic AI capabilities platform infrastructure frontend experiences search/knowledge systems workstreams
- Drive the architecture and delivery of agentic AI systems including LLM orchestration prompt engineering skills harness tool-calling patterns semantic search and agent frameworks (e.g. Strands)
- Lead the development of full-stack serverless solutions leveraging AWS Lambda API Gateway DynamoDB EventBridge CDK and related services to deliver scalable production-grade platform capabilities
- Own the design of search and knowledge systems including vector embeddings hybrid retrieval document processing pipelines and semantic chunking to power Evas intelligent responses
- Build and evolve platform primitives and reusable components that enable dozens of teams across the Data Center Community to build AI-powered capabilities on top of Eva
- Partner with data center operations controls engineering product management and peer engineering teams to identify high-impact use cases and translate them into platform features
- Establish and enforce engineering excellence including CI/CD pipeline design progressive deployment synthetic monitoring observability (CloudWatch X-Ray OpenTelemetry) and operational readiness reviews
- Own hiring performance management and career development for the team building a diverse pipeline of engineers with expertise in GenAI distributed systems and full-stack development
- Communicate platform strategy project status and business impact to senior leadership driving alignment on priorities and resource allocation

A day in the life
- Conduct 1:1s and team stand-ups to unblock engineers review progress and align priorities across agentic AI platform infrastructure frontend and search/knowledge workstreams
- Review technical designs architecture proposals and code reviews ensuring high standards for agentic system design API contracts prompt engineering patterns and infrastructure-as-code
- Triage and prioritize incoming requests from cross-functional stakeholders (data center operations controls engineering product managers peer platform teams) against Evas roadmap and strategic pillars
- Monitor operational health of Evas production systems including agent orchestration services RAG pipelines search infrastructure APIs and frontend applications driving rapid resolution of any issues
- Collaborate with product and program managers to refine requirements scope agentic AI features and plan sprint/iteration deliverables
- Participate in hiring activities including resume reviews phone screens on-site interviews and calibration sessions to build and maintain a strong engineering talent pipeline
- Engage in strategic planning discussions with senior leadership on Evas platform direction GenAI technology adoption resource allocation and long-term technical investments
- Coach and mentor engineers providing career development guidance actionable feedback and growth opportunities in emerging areas like agentic AI and large-scale platform engineering

About the team
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences
Amazon 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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 theres nothing we cant achieve in the cloud.

Inclusive Team Culture
Here at AWS its 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 and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3 years of engineering team management experience
- 7 years of working directly within engineering teams experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle including coding standards code reviews source control management build processes testing certification and livesite operations
- Experience partnering with product or program management teams
- 3 years of developing large-scale multi-tiered distributed software systems using distributed programming experience

- Experience delivering products against plan in a fast-paced multi-disciplined distributed-responsibility and often ambiguous environment
- Experience in recruiting hiring mentoring/coaching and managing teams of Software Engineers to improve their skills and make them more effective product software engineers
- Knowledge of ML NLP Information Retrieval and Analytics
- Experience working with fast-moving high-performance teams and driving innovative solutions tailored to unique business environments
- Experience leading teams building AI/ML or generative AI systems in production including LLM-based applications agentic architectures or RAG systems

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 youre applying in isnt 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 WA Bellevue - 184900.00 - 250200.00 USD annually