Senior Principal AI Engineer

Johnson & Johnson

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

Posted 11/11/2026full-timeUnited StatesSenior💰 $137,000 - $237,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced technical leadership in AI and machine learning, with a strong focus on delivering scalable solutions and integrating AI capabilities across various business functions. Proven ability to manage multidisciplinary teams, establish technical standards, and drive operational excellence in a commercial pharmaceutical environment.

Highest-signal resume keywords

AI/ML EngineeringData Science LeadershipProduction AI SolutionsTechnical CoachingCloud Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningArtificial IntelligenceSoftware Engineering FundamentalsAPIsCI/CDObservabilityCloud ArchitecturesGenerative AIPredictive MLOrchestration Frameworks

Soft Skills

Strong CommunicationStakeholder ManagementTeam LeadershipCoachingCollaboration

Tools & Technologies

Enterprise AI PlatformsAI/ML DevOpsVersion ControlTesting FrameworksCloud Platforms

Industry Keywords

Commercial PharmaceuticalHealthcareRegulated EnvironmentForward Deployed EngineeringTechnical Standards

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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 across brands, Therapeutic Areas, and commercial use cases
Support AI capability integration across Marketing, Commercial Operations, Field Engagement, and Advanced AI initiatives
Drive engineering rigor and operational excellence across AI development and deployment
Provide technical guidance, coaching, and leadership to AI engineering and Data Science contributors
Strengthen J&J’s internal AI Engineering and Forward Deployed Engineering capabilities
Build, manage, and develop a high-performing team of Data Scientists and Forward Deployed Engineers
Define 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

Requirements

What you’ll need

Advanced technical education in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology, or a related quantitative field
Ph.D. with 5+ years of experience, or M.S. with 10+ years of commercial pharmaceutical experience
Demonstrated career progression from Data Science or machine learning into AI/ML engineering and production delivery
Experience designing and delivering production AI/ML solutions in enterprise environments, from problem framing and experimentation through deployment, monitoring, adoption, and enhancement
Experience directly managing multidisciplinary technical teams, ideally including 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 and translating complex business problems into scalable technical solutions
Experience collaborating across Data Science, engineering, architecture, platform, AI Platform Engineering, and business teams
Technical coaching and talent development experience
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
Commercial pharmaceutical domain experience preferred
Experience with Generative AI, agentic AI, or AI-agent solutions preferred
Experience with enterprise AI platforms, cloud architectures, APIs, orchestration frameworks, and AI/ML DevOps preferred
Experience in a Forward Deployed Engineering, AI Engineering Lead, ML Engineering Lead, AI Architect, or similar hands-on technical leadership role preferred
Experience building reusable AI capabilities and platforms at enterprise scale preferred
Experience within healthcare, pharmaceutical, or another highly regulated environment preferred
Vendor management experience preferred

Benefits

Comp & perks

Medical, dental, and vision insurance
Life insurance
Short- and long-term disability insurance
Business accident insurance
Group legal insurance
Consolidated retirement plan (pension)
Savings plan (401(k))
Long-term incentive program
Vacation – 120 hours per calendar year
Sick time – 40 hours per calendar year; employees residing in Washington State – 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
Inclusive interview accommodations
Equal opportunity employment