Sr. SysDev Eng, OTS - Data ANCHOR Team

Are you a builder who thrives in ambiguity? Do you get energized turning proof-of-concepts into production-grade AI systems, fast and with a high bar? If you want to design agentic solutions that solve real operational problems at Amazon's global scale, this role is for you. Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Sr. Systems Development Engineer with an AI/Solutions Architect mindset to join our solutions development, Decision Intelligence(DI) team within Anchor. You will design, build, and ship technical solutions, agentic AI automations and tools that integrate with third-party platforms (ServiceNow), first-party Amazon systems, and cross-organizational services spanning OTS. This is not a "maintain existing systems" role. You will take ideas from whiteboard to production, building, automation to reduce KTLO burden, improve associate experience and enable speed with AI agents, MCPs (Model Context Protocols), and agentic automation systems that drive measurable impact across Amazon's worldwide operations footprint. You will be a senior technical leader on the team: raising the coding bar, establishing architectural patterns for long-term scalability, and ensuring we deploy solutions that last, not throwaway POCs. The DI team team builds and deploys automation and agentic AI solutions that integrate with enterprise platforms and internal orchestration systems to drive operational efficiency gains at scale. Our solutions currently deliver thousands of hours in annual labor savings and operate globally, processing thousands of tickets weekly and millions of telemetry indicator. As our portfolio expands, we need a senior engineer who can own complex technical problems end-to-end and partner across data science, data engineering, and product teams to ship AI-ready solutions. Key job responsibilities Development & AI Solutions - Design and build production-grade agentic AI solutions — from agent orchestration to API integrations with ServiceNow (3P) and Amazon internal systems (1P) - Develop MCPs, agentic frameworks, and automation systems that enable scalable, reusable architectures across the Decision Intelligence portfolio - Partner with Data Scientists and Data Engineers to productionize ML models, build AI-ready data pipelines, and develop agent capabilities (LLM orchestration, prompt engineering, RAG, tool-use patterns) - Turn POCs into real, scalable production systems with a high quality bar — rapidly prototype, validate, and harden solutions for long-term deployment Architecture & Integration - Architect end-to-end systems that connect AI agents to enterprise workflows, enabling automated ticket processing, device management, and operational decision-making at scale - Build integrations across OTS and RME ecosystems, connecting agents to multiple upstream/downstream services, data sources, and streaming platforms - Design user-facing platforms and dashboards where AI integrations surface prescriptive recommendations to field operations partners - Design guardrails, evaluation frameworks, and safety mechanisms to ensure production AI systems operate reliably at scale Engineering Excellence & Operational Ownership - Raise the engineering bar — establish coding standards, drive code reviews, define architectural patterns, and mentor team members on best practices - Own the full development lifecycle — write design documents, implement solutions, build CI/CD pipelines, deploy to production, and monitor operational health - Participate in on-call rotations and drive operational excellence to maintain SLAs for production agents - Ensure we deploy long-term scalable agents and system integrations — not short-lived prototypes — through rigorous testing, observability, and production-readiness standards A day in the life This role partners with data and systems organizations across OTS to drive automations, solution development, and agentic AI tools that provide a prescriptive mindset