Software Development Manager, Data Center - GenAI

Amazon; Bellevue (WA); On-site; USD 240,000 - 360,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Bellevue, WA, is seeking a Software Development Manager for the Data Center Agentic AI Platform. You will lead a team of engineers delivering an AI-powered platform that orchestrates agentic AI, multi-agent workflows, and scalable services across global data centers.

You will own the technical vision, drive strategic roadmaps, and partner with data center operations, controls, product management, and other engineering teams to translate complex needs into scalable AI solutions.

Qualifications

• 3+ years of engineering team management experience.
• 7+ years of working directly within engineering teams.
• Knowledge of engineering practices and patterns for the full software/hardware/networks lifecycle.
• Experience partnering with product or program management teams.
• 3+ years of developing large-scale, multi-tiered distributed software systems.

Responsibilities

• Lead and mentor a team of SDEs building and operating the Data Center Agentic AI Platform.
• Own the end-to-end technical roadmap for the platform, balancing investments across agentic AI capabilities and platform infrastructure.
• Drive architecture and delivery of agentic AI systems including LLM orchestration and tool-calling patterns.
• Lead development of full-stack serverless solutions using AWS services to deliver scalable capabilities.
• Define and implement evaluation frameworks, guardrails, and safety mechanisms for agentic AI systems.
• Build reusable platform primitives enabling dozens of teams to build AI-powered capabilities.

Skills

Engineering management

Senior engineering experience

Distributed systems

SDLC best practices

Cross-functional collaboration

Tools

AWS Lambda

API Gateway

DynamoDB

CDK

CloudWatch

OpenTelemetry

Bedrock

X-Ray

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 design engineers, quality/reliability engineers, supply chain specialists, field engineers, and other vital roles. You’ll 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 you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

As the Software Development Manager for the Data Center Agentic AI Platform team, you will lead a team of Software Development Engineers building AWS data center's 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 platform, driving investments across agentic AI systems, full-stack 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, multi-agent orchestration, 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 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 Data Center Agentic AI Platform, fostering a culture of ownership, innovation, and operational excellence
• Own the end-to-end technical roadmap for the platform, 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 leveraging technologies such as Amazon Bedrock, AgentCore, and multi‑agent orchestration patterns
• 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 the platform's intelligent responses
• Define and implement evaluation frameworks, guardrails, and safety mechanisms for agentic AI systems, including LLM output quality evals, agent behavior testing, content filtering, and responsible AI controls to ensure reliable and trustworthy platform behavior at scale
• 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 the platform
• 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 Eva's roadmap and strategic pillars
• Monitor operational health of Eva's 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 Eva's 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

Basic Qualifications

• 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

Preferred Qualifications

• 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, 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 .