AI Engineering & Enablement Lead
Listed on 2026-08-24
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Software Development
Software Architect, AI Engineer (Applied/Software)
AI Engineering & Enablement Lead
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.
Essential duties and responsibilities include:
- Enablement & SDLC Transformation
- Agent Architecture & Deployment
- Governance & Compliance
- Delivery Leadership
- Stakeholder Interface
Expectations of the job include minimal travel and a standard 40-hour workweek, Monday through Friday.
Minimum knowledge, skills, and abilities include:
- 8+ years in software engineering, with 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 and with leading LLMs.
- Working knowledge of agent design patterns and experience introducing AI-assisted development tooling into an engineering organization.
- Familiarity with the Salesforce ecosystem and enterprise integration sufficient to guide architecture decisions.
- Strong grasp of governance and compliance for AI in a regulated environment.
- Excellent executive communication; able to translate technical strategy into business terms for CTO/CFO audiences.
- Experience leading distributed onshore/offshore teams.
Preferred qualifications include background in healthcare, life sciences, or pharmaceutical patient services technology, prior experience standing up an AI Center of Excellence, Salesforce Health Cloud, Apex, or LWC experience, and vendor-management experience with AI or healthcare-technology partners.
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