Director, Solution Architecture

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 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.

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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 DesignMakeTestLearn (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.

• 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 automation layers and enterprise platforms.
• Execution & Delivery Leadership: Guide the translation of architectural designs into robust production-grade solutions. Partner closely with product owners and engineering leaders to be responsible for delivery strategy dependency management and release execution ensuring alignment to architectural principles.
• Team Leadership & Capability Building: Lead and coach a solution architects driving consistency in architectural practices strengthening domain expertise across AI data and lab automation and ensuring high-quality design governance. Foster a culture of continuous learning innovation and technical excellence.

Education:

• A background in Computer Science or equivalent with 7 years of experience leading a commercial or IT domain in digital solutions systems integration or architecture.

Required:

• Proven experience in implementing automation architecture for large initiatives. (> USD 500Mio)
• Deep experience with integration patterns to connect multiple solution components and discovery systems.
• Ability to assess proposed solutions articulate options define architectural principles and recommend a path forward. Understanding how to translate business process needs into technology solutions; comfortable working at an abstract level and shifting to the highest-impact answer.
• Skilled at articulating trade-offs among business needs technology requirements timelines costs and risks and be able to influence across multiple levels of a global organization.

• Cloud-native and serverless architecture across major cloud providers including containers and orchestration.
• Modern integration: API design API management event-driven patterns.
• Lab automation and orchestration.
• Data & analytics: data integration MDM data governance lakehouse/warehouse patterns and streaming analytics.
• AI/ML enablement: MLOps DataOps AgentOps foundations responsible AI considerations and implement GenAI and Agentic AI safely for productivity and customer experiences.
• DevSecOps and platform engineering: CI/CD infrastructure as code automated security scanning and policy as code.
• Observability and reliability engineering: distributed tracing logging/metrics and tooling to meet SLO/SLAs.
• Confidence operating in complex regulated global ecosystems.

• The opportunity to lead high-impact initiatives in a world-class healthcare organization improving experiences for patients customers and colleagues.
• A collaborative supportive environment where your architecture leadership coaching and curiosity are valued.
• The ability to influence product direction and accelerate innovation on a global scale.

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Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation please contact us via or contact AskGS to be directed to your accommodation resource.

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