Senior Manager – Workflow, Applications, Plug-ins

Johnson & Johnson

. Lead engineering delivery of reusable GenAI applications and scientific workflows across R&D .

Posted 9/24/2026full-timeUnited StatesSenior💰 $137,000 - $235,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the delivery of AI applications and scientific workflows, with a strong foundation in AI/GenAI science, Python programming, and application architecture. Proven ability to mentor teams, manage complex projects, and communicate effectively with stakeholders.

Highest-signal resume keywords

AI/GenAI Science FundamentalsPython ProgrammingApplication Architecture DesignTechnical MentoringCloud Application Delivery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/GenAI SciencePythonAPIsVersion ControlAutomated TestingApplication Release PracticesLarge Language ModelsData Access SecurityReliabilityMaintainability

Soft Skills

Technical LeadershipStakeholder CommunicationPrioritizationCoachingCollaboration

Tools & Technologies

Cloud PlatformsData ProductsVendor ServicesIncident Response ToolsMonitoring Tools

Certifications & Qualifications

Master's Degree in AI/MLMaster's Degree in Computer ScienceMaster's Degree in EngineeringMaster's Degree in Bioinformatics

Industry Keywords

R&DApplication Delivery PlansEvidence-Grounded GenerationRetrieval WorkflowsIntegration EffortBuild-Versus-Buy EvaluationHuman-Review RequirementsTechnical Work ReviewCapacity ConstraintsScope Sequencing

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Lead engineering delivery of reusable GenAI applications and scientific workflows across R&D
Translate product priorities into application designs, delivery plans, and maintainable releases
Provide technical leadership and coaching while partnering with platform, innovation, data, AI operations, safety, evaluation, and business teams
Own integrated application delivery plans, including milestones, engineering capacity, dependencies, and release risks
Translate validated user stories into technical designs and work packages
Define application interfaces and document architecture decisions
Guide evidence-grounded generation, retrieval, and agent workflow implementation
Evaluate build-versus-buy options based on quality, integration effort, maintainability, and cost
Establish code review, automated testing, and application release practices
Incorporate evaluation standards, access controls, traceability, and human-review requirements
Coordinate application integration with approved data products and vendor services
Define handoffs for deployment, monitoring, incident response, and ongoing support
Mentor scientists and engineers, review technical work, and coordinate employees, contractors, and federated contributors
Communicate delivery tradeoffs and capacity constraints to leadership
Propose scope sequencing when demand exceeds available resources

Requirements

What you’ll need

Master's degree in AI/ML, Computer Science, Engineering, Bioinformatics, or related field
3+ years of hands-on experience in AI/GenAI Science/Engineering
Experience delivering production software or AI applications and leading complex technical work across multiple contributors
Strong AI/GenAI science fundamentals, including Python or a comparable language, APIs, version control, testing, and cloud application delivery
Practical understanding of large language models, RAGs, evaluation, and limitations of agentic workflows
Ability to reason about data access, security, reliability, and maintainability
Experience partnering with specialists for implementation
Evidence of effective technical mentoring, stakeholder communication, and prioritization under competing demands

Benefits

Comp & perks

Consolidated retirement plan (pension)
Savings plan (401(k))
Eligibility for the Company’s long-term incentive program
Vacation – 120 hours per calendar year
Sick time – 40 hours per calendar year; 48 hours for employees residing in Colorado; 56 hours for employees residing in Washington
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
Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year