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Manager, GenAI Engineering & Enablement

Job in Town of Belgium, Belgium, Ozaukee County, Wisconsin, 53004, USA
Listing for: Get 360Pharma
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: Town of Belgium

About Your Next Job

Johnson & Johnson is recruiting for a Manager - GenAI Engineering & Enablement for the EMEA Full Stack Engineering chapter, located in Beerse, Belgium.

Join our dynamic team as a Manager, GenAI Engineering & Enablement and become the catalyst behind our next wave of innovation. At TS EMEA Full Stack Engineering (FSE), we build modern, secure, and scalable software products for our business partners—and we’re rapidly accelerating the adoption of enterprise GenAI to supercharge developer productivity, speed platform delivery, and enable responsible innovation at scale across EMEA.

In this role,
you will support the implementation of the GenAI strategy, platform enablement, and engineering execution that power our products every day. You’ll help apply standards and guardrails that keep us fast and safe, partner closely with the global TS GenAI Platform
and XENA Developer Experience
teams to champion open collaboration, and uplift engineering teams through targeted training, proven patterns, and reusable assets. From discovery and pilot to productization and scaled adoption, you’ll
contribute to successful project delivery
—embedding responsible AI across the lifecycle and turning great ideas into resilient, production‑ready solutions.

Bring your expertise, amplify your impact, and help us redefine what’s possible. In a culture where creativity thrives and collaboration is the norm, you’ll streamline how we build, elevate how our teams deliver, and shape the future of our platform and products across EMEA. If you’re ready to lead from the front and transform possibilities into realities,
we’d love to have you on the journey.

About Your Tasks and Responsibilities

Key Responsibilities:

  • Execute on the defined GenAI strategy and roadmap for TS EMEA Full Stack Engineering, ensuring alignment with enterprise platforms and compliance requirements.
  • Ensure adherence to governance practices, including guardrails and usage guidelines, to balance innovation speed with regulatory and policy alignment.
  • Translate and embed open collaboration models (e.g., XENA) into GenAI work streams, fostering clear contribution and decision‑making processes.
  • Partner with platform engineering to standardise and enhance GenAI platform touchpoints, promoting reusable assets and preventing duplication.
  • Develop and curate reference implementations and templates for engineering teams, supporting consistent AI delivery.
  • Lead comprehensive GenAI upskilling and training programmes, ensuring inclusive access for all EMEA locations and measuring adoption through objectives and key results.
  • Showcase impactful use cases and measurable productivity improvements enabled by GenAI adoption.
  • Supervise a portfolio of GenAI initiatives, ensuring secure, privacy‑conscious, and responsible AI practices throughout the delivery lifecycle.
  • Provide technical guidance and unblock teams on critical GenAI engineering challenges, while coaching tech leads towards self‑sufficiency.
  • Foster a collaborative community by connecting squads to enterprise communities of practice and encouraging open participation in platform evolution.
About Your Skills and Experience

Qualifications

Education:

  • We expect the candidate to hold an advanced degree (MSc/PhD) in AI/ML, Data Science, Computer Science, or Applied Mathematics.

Experience and Skills:

Required:

  • 8+ years in software or platform engineering, with experience in team leadership or project management for modern application delivery.
  • Hands‑on familiarity with GenAI/LLM systems in production—including prompting, grounding/RAG, evaluation, safeguards, and telemetry
  • Experience with enterprise AI tooling enablement (e.g., Copilot, Intelligent Chat) and broader developer‑productivity accelerators.
  • A deep understanding of Dev Ops/MLOps for reliability and lifecycle management (CI/CD for models and services, monitoring, rollback, and drift management).
  • Knowledgeable in creating playbooks, training programs, office hours, and inner‑source libraries; establishing guardrails for responsible AI use across multiple teams.
  • Comfortable operating across product, security, platform, legal/privacy, and domain leadership; able to translate…
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