Director, Solution Architecture

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com .

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At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:
Technology Enterprise Strategy & Security

Job Sub Function:
Solution Architecture

Job Category:
Scientific/Technology

All Job Posting Locations:
Spring House, Pennsylvania, United States of America

Job Description:

Director, Solution Architecture

We are searching for the best talent for a Director, Solution Architecture to be located in Spring House, PA.

The Director-level Architect for Drug Discovery will strategize and define the end-to-end architecture for a next-generation, AI-powered Design-Make-Test-Learn (DMTL) engine.

This role sits at the intersection of science, data, automation, and AI, translating discovery strategy into scalable, production-grade technology platforms that accelerate pipeline delivery and create durable competitive advantage through proprietary data.

The role combines deep technical leadership, hands-on architectural design (accelerated through the use of GenAI), and people leadership, leading a team of solution architects while guiding delivery across Discovery, Data Science, and Engineering.

This role matters because you will be instrumental in industrializing drug discovery, ensuring J&J moves beyond experimentation to a fully scaled, learning-driven discovery engine that is data driven and under continuous improvement.

Key Responsibilities:


* Architecture Strategy & Roadmap: Define and lead the architecture for this large initiative, encompassing DMTL workflows, data platforms, and automation ecosystems.

Establish and drive a forward-looking roadmap aligned to Discovery strategy, ensuring scalability across biologics in the near term, followed by synthetic modalities.


* AI & Data Platform Design: Architect closed-loop data generation systems that integrate molecular design models with laboratory automation and robotics outputs.

Ensure alignment with scientific data platforms, semantic layers, and agentic-AI capabilities to enable standardized, high-quality data and reproducible learning cycles.


* Integration & Scalability: Design solutions with a strong focus on computational scalability and data interoperability, ensuring seamless integration across lab systems, auto...