Principal Solution Architecture AI Native Drug Disc

Johnson & Johnson Innovative Medicine

1d • Hybrid

About The Position

We are seeking a Technical Solution Architect to join our Solution Architecture organization. This role will be instrumental in designing and delivering critical components of an end-to-end AI-native drug discovery engine, a pivotal initiative redefining how differentiated therapies are discovered. The architect will operate within 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 AI-native discovery engine!

Requirements

• 5+ years in solution architecture, platform architecture, or systems integration
• Proven experience delivering complex, distributed, data-driven platforms
• Strong background in: Cloud-native architectures and distributed systems
• API-led and event-driven integration patterns
• Data platforms (e.g., Snowflake or equivalent AI-ready data systems)
• Familiarity with: AI/ML platforms and MLOps ecosystems
• Laboratory systems (LIMS, SDMS) and lab automation environments
• Data engineering and ingestion pipelines
• Strong systems thinking, with the ability to design solutions across complex and highly interconnected domains.
• Deep expertise in abstraction and modular design, enabling the creation of scalable, component-level architectures that integrate seamlessly into broader platforms.
• 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

• an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions.
• vacation days
• parental leave for a minimum of 12 weeks
• bereavement leave
• caregiver leave
• volunteer leave
• well-being reimbursement
• programs for financial, physical and mental health.
• service anniversary and recognition awards
• subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed