AI Hub Lead: Enablement & Governance for AI-Driven SDLC

Wasson Enterprise; Overland Park (KS); Hybrid; USD 84,000 - 117,000; Full time

Job summary

EVERSANA is standing up an AI Hub Center of Excellence within Patient Services Technology to transform how we build and deliver software. The AI Engineering & Enablement Lead owns this mission, guiding the adoption of enterprise AI tooling and productionizing it into the SDLC across ACTICS, MuleSoft, and Java/.NET teams.

This onshore lead acts as the anchor for a hybrid team, aligning stakeholders during US hours while an offshore group completes build and test.

Qualifications

• 8+ years in software engineering with 3+ years in a technical lead or architect capacity.

Responsibilities

• Own the AI Hub COE charter and act as the bridge between EVERSANA's Enterprise AI team and Patient Services engineering.
• Ingest and operationalize enterprise AI tooling into the day-to-day SDLC of the ACTICS (Salesforce Health Cloud), MuleSoft, and Java/.NET teams.
• Re-architect existing engineering practice into an AI-augmented model — standardizing AI-assisted development with Claude Code, Cursor, and GitHub Copilot across Dev, QA, and BA functions.
• Define and drive the change-management path so engineers adopt AI-first workflows, not just have access to the tools.
• Architect the agent deployment and lifecycle framework on Vertex AI, with Claude and Gemini Enterprise as primary models.
• Establish reusable agent patterns — RAG pipelines, tool/function calling, MCP server integrations, multi-step orchestration.
• Set the standard for how agents are built, evaluated, deployed, monitored, and retired in production.
• Own AI governance for Patient Services: model selection criteria, PHI/HIPAA handling, evaluation frameworks, and the approved-tools standard.
• Ensure every agent and AI workflow meets healthcare compliance requirements before production, coordinating with InfoSec on data-flow approval and BAA verification.
• Maintain the AI risk register and the prompt/pattern library governance process.
• Lead a hybrid onshore/offshore team on a follow-the-sun model — architecture and stakeholder alignment during US hours, offshore execution overnight, delivered to a ready queue each morning.
• Plan and run parallel-track delivery so multiple AI MVPs and tech workstreams progress simultaneously against a compressed roadmap.
• Define AI velocity KPIs (code-generation rate, defect-rate delta, time-to-merge, story points per sprint) and report progress and ROI quarterly to the CTO and CFO.
• Serve as the senior technical voice for AI in Patient Services with the CTO, CFO, Enterprise AI leadership, and external vendor partners.
• Coordinate with adjacent pods (ACTICS, NiCE, MuleSoft integration) and existing product teams as their capacity flows into AI Hub work.

Skills

Software engineering

Technical leadership

LLM/AI deployment

Cloud platforms

Executive communication

Tools

Vertex AI

Claude

Gemini Enterprise

GitHub Copilot

MuleSoft

CrewAI

LangChain

Vertex Agent Builder

Job description

EVERSANA is standing up an AI Hub Center of Excellence within Patient Services Technology to transform how we build and deliver software. The AI Engineering & Enablement Lead owns this mission, guiding the adoption of enterprise AI tooling and productionizing it into the SDLC across ACTICS, MuleSoft, and Java/.NET teams.

This onshore lead acts as the anchor for a hybrid team, aligning stakeholders during US hours while an offshore group completes build and test.