AI Solutions Engineer (Generative AI & Agentic AI)
Core
Build production-grade AI agents and workflows for Patient Services use cases (intake automation, adverse-event detection) on EVERSANA's enterprise AI stack.
Role type
Senior IC AI Solutions Engineer (Generative & Agentic AI)
Builds
Production AI agents, RAG pipelines, and reusable agent patterns for healthcare workflows.
Domain
Healthcare / Life Sciences / Generative AI
Deliverable
production ML models
Required skills
Python, Cloud AI platforms (Vertex AI), Prompt engineering, RAG, Vector databases, Agent orchestration (LangChain, CrewAI), REST/GraphQL APIs
Preferred skills
MCP servers, Salesforce (Apex/LWC), Java, Healthcare domain knowledge (PHI/HIPAA), BigQuery/PostgreSQL
Technologies
Vertex AI Agent Builder, Claude API, Gemini Enterprise, GCP, Salesforce Health Cloud, MuleSoft, CrewAI, LangChain, LangGraph, BigQuery, PostgreSQL
Responsibilities
Design and build AI agents on Vertex AI/Claude/Gemini; Productionize enterprise AI tooling for Patient Services; Build and maintain RAG pipelines and vector stores; Integrate AI into Salesforce/MuleSoft/Java SDLC; Own agent lifecycle (build, deploy, monitor, evaluate); Establish evaluation harnesses for quality assurance.
Seniority
Senior, hands-on IC
