Artificial Intelligence Engineer
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Role details
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Job description
The Senior AI Engineer will design, build, and operationalize AI and agentic systems that power Client data platform at scale.
Embedded within the Data & Intelligence organization, this engineer will apply large language models (LLMs), retrieval-augmented generation (RAG), multi-agent orchestration, and foundation model capabilities to automate, enhance, and scale operations
Build and optimize semantic models and AI-ready datasets for structured and unstructured data.
Design and automate data ingestion, transformation, orchestration, and refresh pipelines.
Integrate clinical, commercial, and external data sources into enterprise AI workflows. Optimize Snowflake performance and ensure production-ready, maintainable solutions.
You will collaborate with data engineers, full stack engineers, legal and compliance teams to deliver production-grade AI solutions.
You will apply responsible AI principles, implement human-in-the-loop controls, and ensure audit logging and observability across AI-assisted privacy workflows.
Requirements
Must Have Skills - Preference to someone from Pharma Background
- LLMs
- Retrieval-Augmented Generation (RAG)
- ML ops
- Gen AI
- Python
- Need to have experience building agents from scratch
- Snowflake
- SQL
- Prompt Engineering
- Semantic Modeling
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