Senior Software Engineer, AI Governance

Eaton - Galesburg, MI

Hiring: Senior Software Engineer, AI Governance Company: Eaton Location: Galesburg, MI Job Posted Time: 2026-09-10 14:01:15 Employment Type: Full-time Target Skills & Keywords : .NET, API Design, AWS, Azure, CI/CD, Docker, Embedded Systems, Event-Driven, GCP, GitHub, GraphQL, IaC, Java, JavaScript, LLM, MVP, Machine Learning, Microservices, Microsoft PowerPoint, OAuth, OIDC, OWASP, OpenTelemetry, Python, RAG, REST, SQL, Serverless, ServiceNow, Snowflake, Terraform, TypeScript About the job Required Skills: •AI Control Tower MVP live in production, covering runtime signals, agent inventory, and unified audit log across Copilot Studio, AI Builder, and Power Automate. •AgentOps observability in production for the priority agent set, with tracing, evaluation scoring, and drift and hallucination monitoring wired into incident response. •AI FinOps dashboard reporting token, credit, and vendor-license spend by use case, with attribution back to owners. •Policy-as-Code framework live for the top 5 AI policies, with automated evidence collection into the AI Funnel intake. •Post-approval lifecycle monitoring stood up, closing Eaton's #1 AI maturity gap with per-use-case telemetry and named owners. •Pod operating on a healthy CI/CD, IaC, and SLO discipline, with published engineering standards adopted across both build pods. •Vendor and embedded AI telemetry ingested from ServiceNow, MuleSoft, Agentforce, and GitHub Copilot into the Control Tower for coverage reporting. •Set the technical direction, design standards, and engineering practices for the pod as a hands-on IC, contributing production code every sprint. Qualifications: •Bachelors' degree from an accredited institution •Minimum ten (10) years of software engineering experience, with three (3) years hands-on building LLM and agent-based production systems. •No relocation is offered for this position. All candidates must currently reside within 50 miles of US Eaton location. •Must be authorized to work in the United States without company sponsorship now or in the future •Master's degree in Computer Science, Machine Learning, or a related field. •LLM application patterns, agent frameworks (LangGraph, AutoGen, Semantic Kernel, or equivalent) •Retrieval-augmented generation, prompt engineering, evaluation harnesses •Guardrails, trust and safety patterns, red-teaming basics •On-Behalf-Of authorization patterns for agents •Microsoft Azure (Eaton primary), AKS, Docker, serverless Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!