Key skills
CloudKubernetesAILLMClaudeAgenticLangGraphBedrockOAuthCommunication
About this role
Role Overview
- 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.
Tech Stack
- Cloud
- Kubernetes
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development