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

Description

Are you a builder? Do you thrive working with GenAI solutions? Do you love owning a product end-to-end, scaling distributed systems, shipping software fast, growing high-performing engineering teams, and driving technical strategy that directly impacts customers? If combining these skills — building software solutions around AI workflows that solve real-world problems at speed — excites you, this role is for you.

Amazon's Ops Tech Solutions (OTS), Data Anchor organization is seeking an experienced Software & Systems Development Manager to lead our software and agentic development team(Decision Intelligence) within the OTS Data ANCHOR organization. This role will own 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. You will turn POC ideas into production grade and solutions.

The Decision Intelligence team builds and deploys agentic AI solutions that integrate with enterprise platforms (ServiceNow, internal orchestration systems) to drive measurable operational efficiency gains at scale. Our agents currently deliver thousands of hours in annual labor savings, and operate across 74 global sites. As our portfolio expands, we need a hands-on technical leader who can scale both the technology and the team who is a global team from France, Luxembourg to the US.

You will lead a team of engineers (Software Development Engineers, Systems Development Engineers, and Solutions Architects) responsible for the full lifecycle of AI agent development — from ideation and prototyping through production deployment and continuous improvement. You will partner closely with Product, Data Science, Data Engineering, and cross-functional engineering teams to define the roadmap, drive technical excellence, and deliver measurable business impact.

Key job 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

About the team
The OTS Data ANCHOR team is the data, analytics, and intelligent automation engine for Amazon's Ops Tech Solutions organization — supporting global IT field operations, service desk, and infrastructure teams. ANCHOR operates across three pillars: Reporting & Analytics, Data Enablement, and Data Modeling & Intelligence.

The Decision Intelligence team sits within the Data Modeling & Intelligence pillar and has experienced rapid growth since March 2026. In just three months, the team has scaled from early-stage pilots to production-deployed agents processing thousands of tickets globally, integration with enterprise orchestration platforms, and a portfolio of 5 active AI agent initiatives. Our solutions directly impact the productivity of thousands of Amazon technicians and engineers worldwide.

We are a builder culture that moves fast, experiments boldly, and measures everything. If you're passionate about applied AI, operational excellence, and growing high-performing engineering teams — this is an opportunity to shape the future of intelligent automation at Amazon scale.

Basic 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)

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.