Senior AI Solutions Engineer – Generative AI, Agentic AI
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Job Description
AI Solutions Engineer building production agents and workflows for EVERSANA’s healthcare commercialization services. Integrating Vertex AI, Claude, Gemini, Salesforce, MuleSoft, and Java systems for Patient Services.
Responsibilities:
- Design and build AI agents on Vertex AI Agent Builder, Claude API, and Gemini Enterprise
- Productionize enterprise AI tooling for Patient Services use cases including intake automation, missing-information workflows, adverse-event detection, workload queue intelligence, QNCR automation, and chat-with-claims
- Build and maintain RAG pipelines, vector stores, embeddings, and retrieval workflows against Patient Services data
- Implement MCP server integrations and agent tool/function definitions exposing enterprise systems safely
- Integrate AI capabilities into Salesforce Health Cloud, MuleSoft, and Java SDLC touchpoints
- Build reusable prompt templates and agent patterns for broader engineering adoption
- Contribute quality-reviewed, version-controlled components to the shared prompt and pattern library
- Own the agent lifecycle from build and deployment through monitoring, evaluation, and retirement
- Establish evaluation harnesses for pre-production quality testing
- Review AI-generated Salesforce, MuleSoft, and Java code against ACTICS quality standards
- Monitor deployed agents for drift, cost, latency, and accuracy, and remediate as needed
- Deliver an Intake Automation MVP and at least two additional AI workflow MVPs in the first year
- Establish and drive adoption of reusable agent patterns, a prompt library, and operational evaluation and monitoring practices
Requirements:
- 5+ years of software engineering experience building production systems
- Advanced Python
- Competence in JavaScript/TypeScript
- Hands-on experience with a cloud AI platform and its SDK; Vertex AI strongly preferred
- Prompt engineering and LLM application development with Claude, Gemini, or equivalent models
- Practical experience with RAG, vector databases, embeddings, and retrieval design
- Familiarity with CrewAI, LangChain, LangGraph, or Vertex Agent Builder
- Experience integrating REST/GraphQL APIs
- Comfortable working on a follow-the-sun model with an onshore lead
- Experience with MCP servers and agent tooling standards preferred
- Healthcare or life-sciences technology background and awareness of PHI/HIPAA constraints preferred
- Salesforce Apex/LWC or Java development experience preferred
- Experience with BigQuery, PostgreSQL, or comparable data platforms preferred
Benefits:
- Remote work option
- Equal Opportunity Employer
- Inclusive culture embracing diversity
- Employee development and investment in development of others
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