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Vice President Ai Director Jobs (NOW HIRING)

The VP, AI & Applications leads the intelligence layer of Karman -- the algorithms, control methods ... Director and Principal-level individual contributors * Drive technical co-development with ...

VP- AI Ops Engineer

Charlotte, NC · On-site

$155K - $165K/yr

As a VP- AI Ops Engineer, you will be part of the Platform Engineering department supporting AI and GenAI platform operations. The ideal candidate will demonstrate strong leadership, adaptability ...

The VP will build working prototypes directly with desk teams, iterate quickly based on real usage, and partner with the Director, AI Innovation and the broader technology organization to move ...

VP, AI Platform Engineer

Charlotte, NC · On-site

$150K - $165K/yr

As a VP, AI Platform Engineer, you will be part of the Platform Engineering department supporting innovative AI initiatives. The ideal candidate will demonstrate strong leadership, technical ...

VP, AI Innovation

New York, NY · On-site

$151K - $194K/yr

The VP will build working prototypes directly with desk teams, iterate quickly based on real usage, and partner with the Director, AI Innovation and the broader technology organization to move ...

SVP, AI & Data

$305K - $355K/yr

SVP, AI & Data Remote Opportunity About Reveleer Reveleer delivers a unified platform spanning risk ... What you will own AI and machine learning for chart intelligence • Direct the engineering teams ...

Position Title: VP, AI Acceleration Location: Austin, TX; Denver, CO Your Role Digital Realty is seeking a Vice President, AI Acceleration to lead the enterprise-wide adoption and execution of AI ...

We are seeking a VP, AI Business Transformation to serve as the orchestrator of this transformation - translating strategy into execution while shaping the operating model, governance and ...

Position Title: VP, AI Acceleration Location: Austin, TX; Denver, CO Your Role Digital Realty is seeking a Vice President, AI Acceleration to lead the enterprise-wide adoption and execution of AI ...

As Vice President of AI, you will lead the development and execution of AI-powered capabilities across iSpot's customer-facing product portfolio, with responsibility spanning our Creative, Audience ...

$260 - $360/hr

SVP, AI & Data Remote Opportunity About Reveleer Reveleer delivers a unified platform spanningrisk ... Direct the engineering teams that extract medical codes and quality data from charts: retrospective ...

As Vice President of AI, you will lead the development and execution of AI-powered capabilities across iSpot's customer-facing product portfolio, with responsibility spanning our Creative, Audience ...

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Vice President Ai Director information

See salary details

$43.5K

$157.5K

$277.5K

How much do vice president ai director jobs pay per year?

As of Sep 2, 2026, the average yearly pay for vice president ai director in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What does a Vice President AI Director do?

A Vice President AI Director is a senior executive responsible for overseeing the development, implementation, and strategy of artificial intelligence initiatives within an organization. They lead teams of AI professionals, collaborate with other departments, and ensure that AI projects align with business goals. Their role often involves setting the vision for AI adoption, managing budgets, and staying up-to-date with the latest advancements in AI technology. Additionally, they may represent the company in industry events and help shape policies related to AI ethics and governance.

What are the key skills and qualifications needed to thrive as a Vice President AI Director?

To thrive as a Vice President AI Director, you need deep expertise in artificial intelligence, machine learning, and data science, typically supported by an advanced degree in computer science or a related field and significant leadership experience. Familiarity with AI frameworks (like TensorFlow and PyTorch), cloud platforms (such as AWS or Azure), and experience with large-scale data systems are essential, alongside relevant certifications. Strategic vision, strong communication, and the ability to inspire and lead cross-functional teams are standout soft skills in this role. These capabilities are crucial for driving innovation, aligning AI initiatives with business goals, and leading successful, high-impact AI projects.

What are typical challenges faced by a Vice President AI Director when aligning AI initiatives with overall business strategy?

One common challenge for a Vice President AI Director is ensuring that AI projects directly support the company's broader business goals. This often involves translating complex technical possibilities into actionable strategies that drive measurable business value. Additionally, balancing innovation with ethical considerations and regulatory compliance can be demanding, as can gaining buy-in from both technical teams and non-technical stakeholders. Effective communication, cross-functional collaboration, and a clear understanding of the business landscape are essential for success in this role.

What cities are hiring for Vice President Ai Director jobs?

Cities with the most Vice President Ai Director job openings:

What states have the most Vice President Ai Director jobs?

States with the most job openings for Vice President Ai Director jobs include:

Infographic showing various Vice President Ai Director job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

VP, AI & Applications

Utilidata

Ann Arbor, MI • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid — bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
The VP, AI & Applications leads the intelligence layer of Karman — the algorithms, control methods, and optimization techniques that turn microsecond-resolution measurement data into closed-loop control actions and quantifiable customer value. Reporting to the Chief Technology Officer, this role owns how Karman creates value across the data center power system: the internal power distribution system, the utility connection, and ancillary loads and generation including cooling, capacitor shelves, and on-site solar plus battery. The VP partners with the VP, Engineering on the platform that runs these methods in production, and with VP, Product on how value is packaged and delivered to customers.
Responsibilities
  • Lead and set technical direction for the team responsible for Karman's algorithms, control methods, optimization, and applied research — including power flow control and closed-loop adaptive control — through direct management of a Director and Principal-level individual contributors
  • Drive technical co-development with strategic technology partners across hardware, firmware, and commercial tracks, and provide customer-facing technical leadership, working with GTM and Product
  • Develop and manage release plans for algorithms and applications work, with clear engineering direction, validation strategy, and tracking against committed product capabilities
  • Partner with the VP, Engineering to ensure algorithms and control methods are designed for production deployment on the Karman software and hardware platform
  • Stay hands-on early in the role and scale toward leader-of-leaders as the team grows
  • Collaborate with the People Team to attract, onboard, and retain top talent in algorithms, applied AI, and control systems
  • Optimize resource allocation, budgeting, and timelines for team effectiveness
  • Develop and report on success metrics that measure the team's contribution to organizational objectives
Minimum Qualifications 
  • 10-15+ years of professional experience leading teams that develop algorithms, control systems, optimization methods, or applied AI in production
  • Deep technical background in one or more of: control theory, power systems, optimization, applied machine learning, or signal processing
  • Demonstrated experience in algorithms and decision-making paradigms with edge AI tools, including control systems that run offline or isolated for extended periods
  • Track record of developing leaders and growing the careers of senior engineers and researchers; sees mentorship and team development as a core measure of personal impact
  • Demonstrated ability to lead a senior, technically deep team while remaining hands-on enough to shape architecture and methods directly
  • Experience translating research and prototypes into shipped products in a startup or fast-moving environment
  • Strong communication skills, including the ability to represent technical work credibly to executives, customers, and external technical organizations
  • Experience with intellectual property strategy and the patent process
  • Willingness to travel up to 20% of time
Enhanced Qualifications (Nice to Have) 
  • PhD strongly preferred in Electrical Engineering, Computer Science, Control Systems, Applied Mathematics, Operations Research, or a related technical discipline
  • Experience with energy systems, power electronics, or grid-edge applications 
  • Published research, granted patents, or recognized contributions to control systems, applied AI, or power systems
  • Background in real-time systems, deterministic control loops, or hard real-time operating systems
  • Experience with digital twins, hardware-in-the-loop simulation, or co-simulation environments
Salary Range: $230,000 to $290,000 base compensation depending on experience plus stock options.  Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

 

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