- Can I apply
- Needs PhD · 7–13 yrs
- Pay
- Pay not stated
- Source
- From the company's careers page · today
- How to apply
- On NielsenIQ's site (SmartRecruiters): short form, ~5 min
Early: posted 1 h ago on their own site
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About the role
The AI Solutions Engineer is the hands-on builder of the AI Hub Center of Excellence. Where the AI Engineering & Enablement Lead sets architecture and governance, this role turns that direction into working, production-grade agents and AI workflows that ride on EVERSANA's enterprise AI stack (GCP, Vertex AI, Claude, Gemini Enterprise).
What you'll do
- Agent & Workflow Development
- Design and build AI agents on Vertex AI Agent Builder, the Claude API, and Gemini Enterprise
- Productionize enterprise AI tooling for priority Patient Services use cases: intake automation, missing-information workflow, adverse-event detection
- Build and maintain RAG pipelines, vector stores, embeddings, and retrieval workflows against Patient Services data
- Implement MCP server integrations and agent tool/function definitions that expose enterprise systems to agents safely
What you need
- 5–9 years in data science & ai
- LLMs
- Python
- Prompt engineering
- Salesforce
- GraphQL
- JavaScript
- Any graduate
Good to have
- BigQuery
- PostgreSQL
- Git
- TypeScript
- Java
- GCP
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