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Artificial Intelligence Vice President Jobs (NOW HIRING)

PenFed Credit Union

SVP Artificial Intelligence

Mclean, VA

$158K - $198K/yr

Overview PenFed is hiring a SVP Artificial Intelligence at our Tysons, Virginia location. The Senior Vice President (SVP), Enterprise Artificial Intelligence (AI), is responsible for leading PenFed ...

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Artificial Intelligence Vice President information

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$43.5K

$157.5K

$277.5K

How much do artificial intelligence vice president jobs pay per year?

As of Aug 4, 2026, the average yearly pay for artificial intelligence vice president 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 are the key skills and qualifications needed to thrive as an artificial intelligence vice president?

To thrive as an Artificial Intelligence Vice President, you need extensive expertise in AI/ML technologies, strategic leadership experience, and an advanced degree in a related field such as computer science or engineering. Familiarity with AI platforms, cloud computing environments, and tools like TensorFlow, PyTorch, and enterprise data systems is crucial, along with business or technical certifications. Exceptional communication, visionary thinking, and stakeholder management skills set top candidates apart in this role. These abilities are essential for aligning AI initiatives with business goals, driving innovation, and leading high-performing teams in a rapidly evolving technological landscape.

What does an artificial intelligence vice president do?

An Artificial Intelligence Vice President oversees the strategic direction, implementation, and management of AI initiatives within an organization. They lead teams of data scientists, engineers, and AI specialists to develop innovative solutions that drive business growth. Their responsibilities often include setting AI policies, ensuring ethical use of AI technologies, collaborating with other executives, and staying updated on the latest industry trends. They play a crucial role in aligning AI strategies with overall company goals, ensuring both technological advancement and compliance with regulations.

What are the main challenges faced by an artificial intelligence vice president when aligning AI initiatives with overall business strategy?

An Artificial Intelligence Vice President often encounters the challenge of ensuring that AI projects are closely aligned with the organization's strategic goals and deliver measurable business value. Balancing innovative AI development with practical budget constraints and regulatory considerations can be complex. Additionally, fostering effective cross-departmental collaboration and communicating the impact of AI solutions to non-technical stakeholders are key aspects of the role. Success in this position requires strong leadership, a clear understanding of business priorities, and the ability to translate technical advancements into strategic opportunities.
What cities are hiring for Artificial Intelligence Vice President jobs? Cities with the most Artificial Intelligence Vice President job openings:
What are the most commonly searched types of Artificial Intelligence jobs? The most popular types of Artificial Intelligence jobs are:
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What job categories do people searching Artificial Intelligence Vice President jobs look for? The top searched job categories for Artificial Intelligence Vice President jobs are:
Artificial Intelligence Vice President jobs near you
Infographic showing various Artificial Intelligence Vice President job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Vice President II, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV • On-site

Full-time

Re-posted 7 days ago

Job description

Position Summary 

The Vice President of Artificial Intelligence (VP of AI) will lead enterprise-wide AI strategy, innovation, and execution. This role oversees the development, deployment, and governance of AI/ML systems across the organization, ensuring measurable business value, responsible AI practices, and alignment with corporate strategic goals. The VP of AI collaborates closely with Technology, Data, Operations, Risk, Compliance, and Business Unit leadership to build scalable AI platforms, optimize business processes, and accelerate digital transformation.

Essential Job Functions
  • Define and lead the enterprise AI strategy, including advanced analytics, machine learning, deep learning, and generative AI capabilities.
  • Build and oversee AI Centers of Excellence (CoE) to drive innovation, reusable solutions, and best practices.
  • Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps frameworks.
  • Identify high-impact AI opportunities that drive automation, operational efficiency, customer experience improvements, and revenue growth.
  • Establish standards for Responsible AI, model governance, explainability, bias detection/mitigation, and regulatory compliance.
  • Lead the development, deployment, and lifecycle management of AI/ML models across multiple business units.
  • Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks.
  • Implement enterprise-wide generative AI solutions including LLMs, copilots, prompt engineering frameworks, and knowledge automation tools.
  • Collaborate with cybersecurity leaders to implement secure AI architectures, data protection controls, and model threat-defense mechanisms.
  • Promote cross-functional collaboration through transparency, communication, and evangelism of AI capabilities.
  • Build and manage high-performing AI teams including machine learning engineers, data scientists, AI product managers, and researchers.
  • Support annual planning, budgeting, strategic roadmaps, and executive-level presentations for AI programs.
  • Continuously monitor emerging AI trends, tools, and technologies and recommend adoption as appropriate.
  • Perform other duties as assigned.
Position Requirements
  • Bachelor’s degree in computer science, Engineering, Data Science, or related field. Master’s or PhD preferred.
  • 12–15+ years of progressive experience in AI/ML, software engineering, or data science, with 7+ years in leadership roles.
  • Demonstrated experience architecting, deploying, and scaling machine learning or deep learning systems in production.
  • Deep knowledge of Responsible AI frameworks, risk controls, and regulatory expectations.
  • Strong experience with cloud platforms (Azure preferred), distributed systems, and MLOps.
  • Exceptional communication skills, with ability to translate complex AI concepts for senior executives.
  • Proven ability to lead and inspire diverse technical teams.
  • Ability to drive outcomes, influence strategic decisions, and deliver business value.
  • Demonstrated alignment with company values of excellence, ownership, collaboration, and integrity.
PreferredCore AI Concepts and Technologies RequiredMachine Learning & Modeling
  • Supervised, unsupervised, reinforcement learning
  • Deep learning (CNNs, RNNs, Transformers)
  • Natural Language Processing (NLP) & LLMs
  • Generative AI (diffusion models, fine-tuning, RAG)
AI Engineering & MLOps
  • Model training, deployment, monitoring, and retraining
  • Feature stores, vector databases, and model registries
  • CI/CD pipelines for ML (MLOps)
  • GPU/accelerator compute architectures
Cloud & Infrastructure
  • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
  • Kubernetes, containerization, microservices
  • Data platforms (Databricks, Snowflake, Synapse)
Responsible AI & Governance
  • Model explainability (SHAP, LIME)
  • Fairness, bias detection, model risk controls
  • Privacy-preserving ML techniques (differential privacy, federated learning)
Programming & Tooling
  • Python, PyTorch, TensorFlow, JAX
  • LangChain, semantic search, vector embeddings
  • Prompt engineering & LLM orchestration frameworks
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.  
 

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