Hiring: AI Engineering & Enablement Lead Company: EVERSANA Location: Overland Park, KS Job Posted Time: 2026-09-12 14:08:02 Employment Type: Hybrid Target Skills & Keywords : .NET, AWS, Apex, Azure, GCP, GitHub, HIPAA, Java, LLM, LangChain, RAG, Salesforce, Vertex AI About the job Experience: •8+ years in software engineering, with 3+ years in a technical lead or architect capacity. Required Skills: •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. Qualifications: •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). •Solid functional 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. •Operational 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. •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. Compensation: •$178,190 - $213,725 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!