AI Engineering & Enablement Lead
$174,720–$174,720 year
HybridOverland Park, Kansas, United States
Job Summary
Own the AI Hub Center of Excellence charter, ingesting enterprise tooling like Vertex AI and Claude into the Patient Services SDLC for ACTICS, MuleSoft, and Java/.NET teams. Re-architect engineering practices to standardize AI-assisted development with Claude Code, Cursor, and GitHub Copilot across Dev, QA, and BA functions. Architect agent deployment frameworks on Vertex AI, establishing reusable patterns for RAG pipelines, tool calling, and multi-step orchestration while enforcing governance for PHI/HIPAA compliance and model risk. Lead a hybrid onshore/offshore team on a follow-the-sun model, managing stakeholder alignment during US hours and driving parallel-track delivery for multiple AI MVPs. Serve as the senior technical voice for AI with the CTO, CFO, and external vendors, reporting velocity KPIs and ROI quarterly.
Required Qualifications
- 8+ years in software engineering
- 3+ years in a technical lead or architect capacity
- Demonstrated experience architecting and deploying LLM-based systems or AI agents in production
- Hands-on fluency with a major cloud AI platform (Vertex AI strongly preferred; AWS Bedrock or Azure OpenAI acceptable)
- Working knowledge of agent design patterns: RAG, tool use / function calling, orchestration frameworks (CrewAI, LangChain, or Vertex Agent Builder), and emerging standards such as MCP
- Experience introducing AI-assisted development tooling (Claude Code, GitHub Copilot, Cursor, or similar) into an engineering organization and driving adoption
- Familiarity with the Salesforce ecosystem and enterprise integration (MuleSoft or comparable) sufficient to guide architecture decisions
- Strong grasp of governance and compliance for AI in a regulated environment — HIPAA/PHI handling, model risk, and data security
- Excellent executive communication; able to translate technical strategy into business terms for CTO/CFO audiences
- Experience leading distributed onshore/offshore teams
- Must be able to successfully perform the expectations listed above
- Must be able to lift and/or move up to 25 pounds
Desired Qualifications
- Background in healthcare, life sciences, or pharmaceutical patient services technology
- Prior experience standing up an AI Center of Excellence or similar enablement function
- Salesforce Health Cloud, Apex, or LWC experience
- Vendor-management experience with AI or healthcare-technology partners
- Vertex AI strongly preferred
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