AI Solution Architect - MQ DIA
Eli Lilly and CompanyMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and Bangalore metro increase competition, but niche GxP AI expertise limits applicant pool.
Requires pharmaceutical manufacturing GxP experience and specialized AI platform skills, limiting cross-industry transferability.
Strict years, principal architect requirement, and GxP/regulatory expertise make shortlisting highly selective.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end AI and analytics architecture across Manufacturing & Quality technology portfolio, including data ingestion, model serving, and GxP-compliant deployment.
Lead Architecture Review Boards, enforce design standards, and translate executive strategy into multi-quarter technical roadmaps for AI systems.
Architect agentic AI orchestration, real-time manufacturing analytics, cloud integration strategies, and ensure AI governance including regulatory compliance.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or related field; Master's/PhD preferred.
10–15 years of experience in AI/ML systems, solution architecture, and enterprise data platforms; minimum 5 years as principal/lead architect.
At least 3 years experience in pharmaceutical, biotech, or regulated manufacturing with GxP / 21 CFR Part 11 exposure.
Advanced proficiency with AWS, Azure, Databricks platforms and strong knowledge of pharmaceutical QMS, manufacturing standards, and pharmacovigilance data.
Ideal Candidate Profile
Senior technologist with expertise bridging pharmaceutical manufacturing, enterprise AI platforms, and GxP-regulated system design.
Experienced in leading multi-disciplinary teams and stakeholder engagement in regulated manufacturing and quality domains.
Strong background in agentic AI orchestration, cloud architecture strategy, and AI governance under strict compliance frameworks.