Teams at Morningstar

Build and scale production-grade GenAI services, including MCP Server, MCP Gateway, and AI Agent systems. Responsibilities include end-to-end feature ownership, architecture, implementation, deployment, monitoring, debugging, testing, documentation, and collaboration with product and design teams. The role emphasizes scalable and reliable software, AI-assisted development, security, guardrails, PII filtering, and continuous engineering improvement.

Lead architecture and implementation of a unified, cloud-native data feed platform. Design scalable ingestion, transformation, and delivery pipelines; establish DataOps, governance, monitoring, CI/CD, and performance best practices; mentor engineers and influence cross-team technical strategy.

Lead North American software engineering teams supporting retirement technology products. Responsibilities include hiring and developing engineers, establishing architecture and engineering standards, improving software delivery and operations, guiding AI-native engineering practices, and executing initiatives across multiple applications and teams. The role partners with Product Management on roadmaps, manages dependencies, removes blockers, and promotes quality, security, compliance, accessibility, ownership, and continuous improvement.