AI Architect – Lilly Medicine Foundry (R5-6)

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Job Level: (R5-6) – Systems Architect

Job Family: Information Technology

Location: Hyderabad, India

Job Function: Tech@Lilly CTI-MD India

Tech Ladder (Y/N): Y

About Us

This is an opportunity you don’t want to miss!

Lilly is entering an exciting period of growth, and we are committed to delivering innovative medicines to patients around the world. LRL has increasing needs for in-house manufacture of material for clinical supplies and will therefore construct a new campus to manufacture Clinical Trial (CT) Active Pharmaceutical Ingredient (API) to meet needs for an expanding portfolio (more and new areas), to accelerate development timelines, and to enhance supply chain robustness.

The brand-new facility also known as Lilly Medicine Foundry (Foundry) will utilize the latest technology to augment the current clinical supply chain for small molecules (SM), oligonucleotides, peptides, and Antibody Drug Conjugates (ADCs), monoclonal antibodies and bioconjugates, and add new capabilities including mRNA.

The new site will be built using the latest high-tech equipment, advanced highly integrated and automated manufacturing systems, and have a focus on minimizing the impact to our environment.

Role Overview

Lead the technical architecture strategy and implementation for The Lilly Medicine Foundry, establishing the foundational platforms, standards, and architectural patterns that enable AI solutions to scale across the site, PRD and potentially Manufacturing. This role combines deep technical expertise in AI/ML systems with strategic architecture leadership to build enterprise-grade AI capabilities that deliver measurable business value while meeting pharmaceutical industry requirements for security, compliance, and validation.

Reporting to the Director IT – CTI MD, you will provide architectural expertise and reusable platform capabilities to domain teams while establishing technical standards and governance frameworks that ensure consistency, quality, and scalability across the AI portfolio. You will partner closely with Enterprise Architecture, Data & Analytics, Infrastructure, and Security teams to integrate AI capabilities seamlessly into the Foundry’s technology ecosystem.

Primary Responsibilities

AI Architecture Strategy & Platform Design (40%)

Functional AI Architecture & Strategy

• Define and evolve the enterprise AI architecture vision, strategy, and roadmap aligned with the Lilly Medicine Foundry and PRD objectives
• Design reference architectures and architectural patterns for AI/ML systems spanning model development, deployment, monitoring, and lifecycle management
• Establish architectural principles and design patterns that ensure AI solutions are scalable, secure, maintainable, and compliant with pharmaceutical regulations
• Create technology selection frameworks and architectural decision records (ADRs) to guide build vs. buy vs. partner choices
• Drive architectural alignment across Clinical and Commercial AI initiatives to maximize reuse and minimize technical debt

AI Platform Development & Engineering

• Design and build the core AI platform capabilities including MLOps infrastructure, model registry, feature stores, experimentation frameworks, and deployment pipelines
• Architect solutions for AI model lifecycle management including versioning, A/B testing, monitoring, retraining, and retirement
• Establish reusable AI services and APIs that domain teams can leverage to accelerate solution delivery (e.g., NLP services, computer vision, recommendation engines)
• Design integration patterns for AI capabilities with Lilly’s data platform, enterprise applications, and development/manufacturing systems
• Architect hybrid cloud solutions optimizing for performance, cost, and regulatory requirements (on-premises, AWS, Azure, GCP)

Generative AI & LLM Architectu…