Associate Director -AI/ML Engineering
About The Position
The Associate Director of AI/ML Engineering serves as a strategic bridge across the enterprise, working closely with VP- and SVP-level executives in Legal, Information Security, and Responsible AI. The role partners with AI Platform Engineering leaders and guides business-unit AI product owners to ensure compliance with corporate policies, Responsible AI, Integrity, and Legal frameworks, and industry AI safety standards such as the NIST AI Risk Management Framework. The position leads a specialized team of Principal AI Engineers and Scientists and uses executive dashboards, cloud governance frameworks, AI registration hubs, and a four-quadrant AI evaluation architecture to support strategic go/no-go deployment decisions. It also oversees the use of big-data tools and programming frameworks to turn pipeline data into scalable data-science models, manages and allocates team work, and ensures production machine-learning tasks run properly and data-science code remains maintainable and scalable.
Requirements
- Bachelor’s degree or four or more years of work experience.
- Ten or more years of relevant experience, demonstrated through work and/or military experience or specialized training.
- Three or more years managing high-performing engineering or AI teams.
- Experience in AI Science or Engineering.
Nice To Haves
- Experience in AI/GenAI architecture, LLMOps, enterprise risk management, and distributed systems.
- Master’s degree in Computer Science or AI Science.
- Ten or more years of AI Science or Engineering.
Responsibilities
- Serve as the primary strategic bridge across the enterprise, engaging with VP- and SVP-level executives in Legal, Information Security, and Responsible AI.
- Partner with AI Platform Engineering leaders and guide business-unit AI product owners to ensure compliance.
- Direct a specialized team of Principal AI Engineers and Scientists.
- Apply corporate compliance policies, Responsible AI, Integrity, and Legal frameworks, and industry AI safety standards.
- Use executive dashboards, cloud governance frameworks, AI registration hubs, and the four-quadrant AI evaluation architecture to make strategic deployment go/no-go decisions.
- Leverage big-data tools and programming frameworks to transform pipeline data into scalable data-science models.
- Manage employees, including planning and dividing work among the team.
- Ensure production machine-learning tasks function properly and data-science code is maintainable and scalable.
Benefits
- Medical, dental, and vision coverage.
- Short- and long-term disability insurance.
- Basic and supplemental life insurance and AD&D insurance.
- Identity theft protection, pet insurance, and group home and auto insurance.
- Matched 401(k) savings plan.
- Up to 8 company-paid holidays per year and up to 6 personal days per year.
- Paid parental leave and adoption assistance.
- Tuition assistance.
- Other incentives and a total rewards package.
- Potential premium pay, such as overtime, shift differential, holiday pay, or allowances, depending on the role.
- Up to 15 days of vacation per year for newly hired employees, increasing with additional service.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
