GenAI Engineer / Solution Architect

Quick Facts

• Role: GenAI Engineer / Solution Architect (Senior/Architect)

• Industry: Pharmaceutical / Life Sciences

Description

This is a highly hands-on GenAI Engineer / GenAI Solution Architect role in the pharmaceutical sector, combining GenAI solution design, development, and technical leadership. You will build production-grade LLM solutions including RAG and agentic AI applications, implement retrieval pipelines, and add evaluation, guardrails, and governance. You will deploy scalable AI applications and APIs in the cloud (preferably Azure) and mentor other engineers.

Role Description

• Design and build production-grade GenAI solutions end-to-end

• Develop LLM, RAG, and AI agent/agentic AI applications

• Design retrieval pipelines using vector databases, hybrid search, and reranking

• Build solutions using LangChain, LangGraph, and/or LlamaIndex

• Implement MCP, LLM evaluation, guardrails, fine-tuning, and AI governance

• Deploy scalable AI applications and APIs in the cloud (preferably Azure)

• Provide technical leadership, architecture guidance, and mentoring

Requirements

• Strong Python development experience

• 2+ years of hands-on production GenAI/LLM experience

• Strong practical experience with RAG and AI agents

• Experience with LangChain/LangGraph/LlamaIndex

• Knowledge of vector databases, MCP, LLM evaluation, and guardrails

• Experience with Azure AI / Azure OpenAI preferred (AWS or GCP also considered)

• Experience with REST APIs, Docker, and CI/CD

• Ability to combine solution architecture with hands-on coding

Benefits

• Highly hands-on GenAI solution design and development role with technical leadership opportunities

• Opportunity to work on production-grade GenAI in the pharmaceutical/life sciences domain