Senior Director, Ai Engineering And Delivery

AbbVie

Abbott Park, IL, US
Base: $190,000.00 – $380,000.00; bonus/equity: not...
Ai platform strategy and architecture
Cloud-native ai and data engineering
Machine learning lifecycle management
This role offers a rare opportunity for a deeply technical AI leader to shape enterprise-wide AI adoption and governance in a complex, regulated environment

Job Summary

  • This role offers a rare opportunity for a deeply technical AI leader to shape enterprise-wide AI adoption and governance in a complex, regulated environment.
  • The Senior Director will build and lead a new AI Engineering & Delivery organization to establish AI and GenAI as core enterprise platforms enabling rapid development and deployment of AI-driven solutions.
  • The position requires embedding Responsible AI principles and ensuring compliance with regulations such as FDA, SOX, and others applicable to pharmaceutical, food, and medical device industries.

Matching Summary

This role offers a rare opportunity for a deeply technical AI leader to shape enterprise-wide AI adoption and governance in a complex, regulated environment.

Salary

Base: $190,000.00 – $380,000.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • AI platform strategy and architecture
  • Cloud-native AI and data engineering
  • Machine learning lifecycle management
  • Regulatory compliance in AI systems
  • Enterprise AI and GenAI platform delivery
  • Distributed systems and microservices
  • Leadership of global engineering teams

Nice-to-have

  • Platform mindset with reuse focus
  • Stakeholder management across business units
  • Experience with generative AI and foundation models
  • Strong communication with executive leadership
  • Operational resilience and observability
  • Risk and governance expertise in AI
  • Culture of continuous learning and accountability

Key Requirements

  • 15+ years software engineering experience
  • Experience in regulated environments
  • Bachelor’s degree in computer science or related field
  • Proven leadership of large global teams
  • Hands-on AI/ML and GenAI operationalization
  • Experience with cloud platforms AWS, Azure, GCP
  • Strong stakeholder management skills

Work Rights

Not specified

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