Senior Principal AI Engineer

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world 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 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

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.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Horsham, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

We are searching for the best talent for Senior Principal AI Engineer

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine, is recruiting for an Senior Principal AI Engineer to join our Commercial Data Science & AI organization within J&J Innovative Medicine Technology located in Titusville, NJ, or Horsham, PA.

Purpose:

This role will provide hands-on technical leadership at the intersection of AI Engineering, Forward Deployed Engineering, Data Science, and Enterprise AI delivery . The successful candidate will help translate complex business and Data Science opportunities into scalable AI solutions and accelerate the integration of emerging AI capabilities across Marketing , Commercial Ops, Field Engagement, Advanced AI capabilities, and future AI initiatives .

The leader will build and manage a multidisciplinary team of Data Scientists and Forward Deployed Engineers who translate commercial opportunities into scalable AI products. The role is designed for an accomplished Data Science leader who has evolved into AI engineering, combining strong modeling foundations with software engineering, enterprise integration, and production delivery. The successful candidate will remain technically credible while establishing team structure, delivery standards, talent development, and partnerships across the business, the AI Platform Engineering team, Data Science, architecture, platforms, and external partners.

You will be responsible for:

Technical Leadership

• Provide hands-on technical leadership for the design, engineering, integration, and delivery of scalable AI and agentic solutions.

• Serve as a technical bridge across Data Science, business stakeholders, architecture, engineering/platform teams, AI platform teams, and external partners.

• Translate business and Data Science requirements into scalable, enterprise-ready technical solutions.

• Lead AI solutions from prototype through integration, deployment, and ongoing enhancement.

• Advance reusable engineering approaches that enable AI capabilities to scale across brands, Therapeutic Areas, and commercial use cases.

• Support the integration and evolution of AI capabilities across Marketing , Commercial Ops,Field Engagement, and Advanced AI capabilities.

• Drive engineering rigor and operational excellence across AI development and deployment.

• Provide technical guidance, coaching, and leadership to AI engineering and Data Science contributors.

• Help strengthen J&J's internal AI Engineering and Forward Deployed Engineering capabilities.

People Leadership

• Build, manage, and develop a high-performing team of Data Scientists and Forward Deployed Engineers.

• Define clear roles, career paths, technical expectations, and operating models across both disciplines.

• Recruit and develop Data Scientists who can broaden into production AI engineering.

• Set team priorities, allocate capacity, and maintain accountability for delivery and measurable business outcomes.

• Create a culture of engineering rigor, experimentation, reuse, responsible AI, and continuous learning.

• Balance direct technical involvement with delegation, coaching, and organizational leadership.

Qualifications / Requirements:

Required

• Advanced technical education (such as Ph.D. with 5+ years of experience, or M.S. with 10+ years of commercial pharma experience), in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related quantitative field.

• Demonstrated career progression from Data Science or machine learning into AI/ML engineering and production delivery.

• Demonstrated experience designing and delivering production AI/ML solutions in enterprise environments, taking solutions from problem framing and experimentation through deployment, monitoring, adoption, and enhancement.

• Experience directly managing multidisciplinary technical teams, ideally including both Data Scientists and software, ML, AI, or Forward Deployed Engineers.

• Strong software-engineering fundamentals, including APIs, testing, version control, CI/CD, observability, and cloud deployment.

• Experience in cross-functional product delivery, translating complex business problems into scalable technical solutions and collaborating across Data Science, engineering, architecture, platform, AI Platform Engineering, and business teams.

• Technical coaching and talent development experience, including technical leadership and people leadership.

• Experience establishing technical standards and delivery practices for AI teams.

• Ability to assess when a solution requires predictive ML, generative AI, agents, deterministic software, or a combination.

• Strong communication and stakeholder-management skills, with the ability to translate complex methods and results to diverse audiences.

Preferred

• Commercial pharmaceutical domain experience

• Experience with Generative AI, agentic AI, or AI-agent solutions.

• Experience with enterprise AI platforms, cloud architectures, APIs, orchestration frameworks, and AI/ML DevOps, including specific internal platforms.

• Experience in a Forward Deployed Engineering, AI Engineering Lead, ML Engineering Lead, AI Architect, or similar hands-on technical leadership role.

• Experience building reusable AI capabilities and platforms at enterprise scale.

• Experience within healthcare, pharmaceutical, or another highly regulated environment.

• Vendor management experience.

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, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

#JNJDataScience # JNJIMCommercial-DS #LI-Hybrid

Required Skills:

Preferred Skills:

Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility

The anticipated base pay range for this position is :

The anticipated base pay range for this position is $137,000 and $237,500 USD.

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits