EVERSANA · 6 days ago
AI Engineering & Enablement Lead
EVERSANA is a life sciences commercialization services company focused on improving patient lives through healthcare and technology solutions. The AI Engineering & Enablement Lead will establish and lead an AI Hub Center of Excellence, integrate enterprise AI tools into the Patient Services software development lifecycle, and build governed frameworks for production AI agents. This player-coach role leads distributed teams, drives AI-augmented engineering adoption, and manages architecture, compliance, delivery, and executive stakeholder alignment.
Pharmaceutical
H1B Sponsor Likely
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 (GCP, Vertex AI, Claude, Gemini Enterprise) 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 — 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 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
Qualification
Required
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 — not just prototypes
Hands-on fluency with a major cloud AI platform (Vertex AI strongly preferred; AWS Bedrock or Azure OpenAI acceptable) and with leading LLMs (Claude, Gemini, or equivalent)
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
Preferred
Vertex AI strongly preferred
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
Company
EVERSANA
Global life sciences commercialization and patient services provider.
H1B Sponsorship
EVERSANA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
50%
Represents job field similar to this job
Engineering and Development
Management and Executive
Customer Service and Support
Sales
Marketing
Product Management
Education and Training
Trends of Total Sponsorships
*2026 (23)
2025 (26)
2024 (8)
2023 (24)
2022 (9)
2021 (9)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
unknown2018-10-01Private Equity
Leadership Team
Mark Thierer
Chief Executive Officer
Jen Norton
President, Market Access & Value
Recent News
2026-08-27
MarketScreener
2026-08-26
Company data provided by crunchbase