Principal Solution Architect

Johnson & JohnsonSpring House, PA
Hybrid

About The Position

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!

Requirements

  • 5+ years in solution architecture, platform architecture, or systems integration
  • Proven experience delivering large, complex, distributed, data-driven platforms
  • Strong background in using GenAI tools to facilitate and deliver the architecture design
  • Strong background in cloud-native architectures and distributed systems
  • Strong background in API-led and event-driven integration patterns
  • Strong background in data platforms (e.g., Snowflake or equivalent AI-ready data systems)
  • Familiarity with AI/ML platforms and MLOps ecosystems
  • Familiarity with laboratory systems (LIMS, SDMS) and lab automation environments
  • Familiarity with data engineering and ingestion pipelines
  • The candidate demonstrates strong systems thinking, with the ability to design solutions across complex and highly interconnected domains.
  • They bring deep expertise in abstraction and modular design, enabling the creation of scalable, component-level architectures that integrate seamlessly into broader platforms.
  • The role requires excellent engagement skills, fostering effective collaboration across scientific and technical teams to translate complex requirements into actionable solutions.
  • Appetite for innovation is essential, with comfort in working with emerging AI and automation technologies, combined with a clear execution focus to deliver high-impact results within bold timelines.

Nice To Haves

  • Experience in life sciences / pharma R&D environments
  • Understanding of drug discovery workflows (Design–Make–Test–Learn)
  • Awareness of automation in laboratory environments and data generation pipelines

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Benefits

  • A collaborative, supportive environment where your architecture skill and curiosity are valued.
  • Bring your architecture craftsmanship to a mission that matters and help us build technology and services that improve care for patients and customers across the world.
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