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Tier-1 employer, mid-level AI role in metro with broad GenAI requirements increases candidate competition.
Requires specialized GenAI, LLM, and supply-chain/regulatory experience, limiting transferable candidates across industries.
Explicit 5+ years plus required GenAI, LLM, LangChain, and regulated supply-chain experience increases shortlisting strictness.
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Design, develop, and deploy complex AI and data science solutions for clinical and commercial supply chain processes.
Own end-to-end AI solution lifecycle including prototyping, validation, deployment, and stabilization with impact on metrics like cycle time, forecast quality, and operational efficiency.
Collaborate cross-functionally with product, business, technology, and data teams to integrate AI capabilities into supply chain applications and workflows.
5+ years of AI/ML and data science experience focused on supply chain use cases, including hands-on work with Large Language Models, Generative AI, and advanced modeling.
Proficiency in Python, AI/ML libraries, APIs, SQL/NoSQL databases, data pipelines, and modern application development.
Experience building and deploying GenAI and LLM-based applications like chatbots, copilots, including use of AI orchestration frameworks such as LangChain or LangGraph.
Prior experience or familiarity with pharma, life sciences, or regulated AI environments preferred; knowledge of GxP or HIPAA compliance is a plus.
Experienced in rapid AI prototyping and production-level AI architecture with focus on scalability and maintainability.
Strong strategic understanding of Responsible AI, model validation, enterprise AI governance, and orchestration patterns.
Effectively synthesizes technical and non-technical inputs to deliver business-aligned AI solutions in Agile, cross-functional, global team environments.