Help shape the AI Platform's core architecture alongside the VP of AI Platform Engineering and a small group of senior engineers.
Establish the platform's technical contracts.
Set the technical bar for the team, review the work that ships, and mentor engineers.
Design how the AI Platform interlocks with the rest of engineering.
Carry the pager and operate what you build.
Requirements
Ten or more years as a software engineer building production platforms
Deep experience designing and operating cloud-native, Kubernetes-based platforms in production
Hands-on fluency with at least one mainstream LLM application stack (LangGraph, Bedrock AgentCore, or equivalent)
Depth in workload identity and access management (SPIFFE/SPIRE, OAuth token exchange, KMS-backed signing, or equivalent)
Strong written communication
Personal experience using AI tools in your own engineering work (Claude Code, Cursor, custom MCP servers, agentic side projects, or similar)
Healthcare data experience (PHI, HIPAA, BAA workflows) or other regulated-platform background (FedRAMP, HITRUST / HITRUST AI, NIST AI RMF, SOC 2 Type 2) is a strong plus.