Principal Solution Architect

Job Description

• Proven experience delivering large, complex, distributed, data-driven platforms

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, and solutions are personal.

Through our expertise in Innovative Medicine and Med Tech, 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

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Technology Enterprise Strategy & Security

Solution Architecture

Scientific/Technology

Spring House, Pennsylvania, United States of America

We are seeking a Technical Solution Architect to join our Solution Architecture organization in Spring House, PA
.

This role will be instrumental in designing and delivering critical components of an end-to-end drug discovery engine
, a pivotal initiative redefining how differentiated therapies are discovered.

The architect will collaborate on a scalable, fit-for-purpose end-to-end technology stack supporting a Design–Make–Test–Learn (DMTL) closed-loop system, using AI, automation, and proprietary data to accelerate discovery outcomes.

The impact of this role is significant and far-reaching, directly contributing to the transformation of drug discovery through advanced technology and data-driven innovation. By designing and enabling key components of the discovery engine!

• Solution & Component Architecture. Design and govern modular solution architectures ensuring seamless data and workflow integration. Define integration patterns across platforms such as LIMS, SDMS, data platforms, and AI/ML systems
• Data & AI Architecture Enablement. Architect solutions enabling closed-loop data generation and feedback cycles across discovery workflows. Support design of AI-ready data pipelines, ensuring data quality, lineage, and accessibility and enable integration of AI/ML models and agentic tools into discovery processes
• Integration & Platform Engineering. Lead architecture for systems integration across lab automation, laboratory systems, and enterprise platforms, define patterns for event-driven workflows, orchestration, and observability in automated discovery pipelines. Collaborate with engineering teams (cloud, data, ML Ops) to deliver robust, scalable solutions
• Collaboration with Scientific & Engineering Teams. Partner with scientists, data engineers, AI researchers, and lab automation teams to translate scientific workflows into technical solutions. Co-design solutions that enable AI-augmented science and decision intelligence
• Governance, Security & Compliance. Ensure architectures align with cybersecurity, data governance, and regulatory standards. Embed secure-by-design principles, particularly in the context of AI and sensitive discovery data

• 5+ years in solution architecture, platform architecture, or systems integration
• Proven experience delivering large, complex, distributed, data-driven platforms
• Experience in life sciences / pharma R&D environments (preferred)

• Using GenAI tools to facilitate and deliver the architecture design
• Cloud-native architectures and distributed systems
• API-led and event-driven integration patterns
• Data platforms (e.g., Snowflake or equivalent AI-ready data systems)

• AI/ML platforms and MLOps ecosystems
• Laboratory systems (LIMS, SDMS) and lab automation environments
• Data engineering and ingestion pipelines

• Understanding of drug discovery workflows (Design–Make–Test–Learn)
• Awareness of automation in laboratory environments…