Leads the architecture, development, security, and operation of the company’s AI platform, data foundation, internal applications, and automations. Responsibilities include building distributed systems, cloud data platforms, semantic layers, knowledge graphs, LLM applications, agentic workflows, MCP integrations, and governed automation. The role establishes engineering standards, leads hiring and mentoring, manages AI governance, and owns production systems end to end, including infrastructure, access controls, monitoring, cost, performance, and compliance for sensitive data.

Build and support production-grade UiPath RPA, API, browser, document, and AI-driven automations. Own automation projects end to end, including requirements gathering, process documentation, development, testing, deployment, orchestration, and production support. Use UiPath Maestro or comparable orchestration tools for durable, fault-tolerant workflows, while managing code through Git. Automations may operate on sensitive healthcare, financial, and clinical systems.