Manager, Systems Dev & GenAI, OTS - Data ANCHOR Team

About the role

The Manager, Systems Dev & GenAI, OTS - Data ANCHOR Team leads the strategy, development, and delivery of AI-powered agent solutions that automate and optimize operational workflows across Amazon's global IT support and field operations ecosystem.

Responsibilities

• Lead and grow a team of SDEs, Systems Development Engineers, and Solutions Architects; provide mentorship, career development, and performance management
• Own the technical roadmap for the Agentic AI portfolio including solutions like, MCM Creation Agent, Severity Triaging Agent, ASML Agent, Printer Agent Recommendation Engine, and CSD AutoCut automation and more.
• Drive architecture and design of intelligent agent systems leveraging AWS services (Bedrock, Lambda, Step Functions), LLM orchestration, and enterprise integrations (ServiceNow, Agent Orchestrator)
• Deliver measurable outcomes — reduce operational labor, improve accuracy, and increase automation coverage across OTS's global IT support operations
• Partner cross-functionally with the DSE Tech Team, Product Management, Field IT leadership, and Service Desk stakeholders to align agent capabilities with customer needs
• Manage the full development lifecycle from proof-of-concept through production deployment, including pilot design, success metrics, safety reviews, and scaled rollout
• Raise the technical bar by establishing engineering best practices, code review standards, CI/CD pipelines, and operational excellence mechanisms for AI/ML systems
• Communicate effectively with senior leadership on strategy, progress, risks, and business impact through mechanisms like MBRs, sprint reviews, and roadmap presentations

Qualifications

• 5+ years of managing system or software development teams experience
• 7+ years of relevant hands-on systems engineering and administrative work in networking, storage systems, operating systems experience
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• Experience leading development life cycle processes and best practices, especially in the areas of deployment automation and monitoring
• Experience with AWS platforms, services, and design patterns
• Experience developing, deploying and managing AI products at scale

Preferred Qualifications

• Experience with Agile engineering practices (Kanban, continuous delivery, etc.)
• Experience in creating process improvements with automation and analysis
• Master's degree or above in engineering, management, or technology, or Master's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
• Experience managing geographically distributed teams or working with global operations stakeholders
• Familiarity with AWS AI/ML services (Bedrock, SageMaker, Lambda, Step Functions)

Pay

The base salary range for this position is $166,300.00 - $225,000.00 annually.