AI Engineering & Enablement Lead

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies.

Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us!

Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs.

We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA.

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: to ingest enterprise AI tooling and product ionize it into the Patient Services SDLC, build a governed framework for deploying and maintaining AI agents, establish engineering best practices, and re-architect our current engineering practice into an AI-augmented software development organization.

This is a player-coach role. The Lead is the onshore anchor of a hybrid team — running stakeholder alignment, architecture decisions, and governance during US hours while an offshore team executes build and test. The Lead is accountable for turning the AI Hub roadmap from a backlog of capabilities into shipped, governed, production-grade software delivered by an AI-accelerated team.

Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:

• 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 (GCP, Vertex AI, Claude, Gemini Enterprise) into the day-to-day SDLC of the ACTICS (Salesforce Health Cloud), Mule Soft, and Java/.NET teams.
• Re-architect existing engineering practice into an AI-augmented model — standardizing AI-assisted development with Claude Code, Cursor, and Git Hub 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 — that teams can build on.
• 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 Info Sec 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 work streams…