Domain SME Lead

Job Description looking for AI Lead to drive the development and deployment of next-generation agentic AI solutions for pharmaceutical analytical method validation and CDMO operations. Lead technical work streams using Azure OpenAI GPT-5, Lang Graph frameworks, and intelligent document processing for HPLC method development, protocol generation, and regulatory compliance automation. Strong Azure cloud architecture expertise required with hands-on development approach using Claude Code.

Required Qualifications 10 years of experience in AI/ML engineering with 4 years in agentic AI and LLM systems Proven Azure cloud architecture expertise with Azure Solutions Architect certification preferred Hands-on development experience using Claude Code for rapid AI prototyping and implementation Strong proficiency in Lang Graph, Lang Mem, and agentic workflow development

Experience with Azure OpenAI GPT-5, text-embedding-3-large, and Azure AI services Extensive experience in LLM evaluation and testing (Lang Graph evals, Agent evals, Deep Eval, prompt testing frameworks)

Experience with Llama Index (Llama Parse, Llama Extract) for scientific document processing Deep understanding of pharmaceutical regulatory requirements (FDA, EMA, ICH guidelines)

Key Responsibilities Design Azure-native agentic AI applications for HPLC method validation and protocol generation Lead hands-on development using Claude Code for pharmaceutical workflow automation Build intelligent document processing pipelines for method protocols, validation reports, and regulatory submissions Establish comprehensive LLM testing and evaluation frameworks for pharmaceutical accuracy and compliance Implement advanced RAG systems for pharmaceutical knowledge bases and method libraries Fine-tune Azure OpenAI GPT-5 models for pharmaceutical terminology and scientific accuracy Design Azure infrastructure for Veeva Vault, Egnyte, and LIMS integration Collaborate with pharmaceutical scientists on AI-driven analytical method optimization .

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