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Vice President Generative Ai Machine Learning Jobs

iSpot

VP, AI

Bellevue, WA · On-site

As Vice President of AI, you will lead the development and execution of AI-powered capabilities ... apply generative AI, agentic systems, machine learning, and advanced analytics to deliver ...

C3 AI

Vice President, Alliances

Redwood City, CA · On-site

As the Vice President of Alliances, you will own the end-to-end strategy, execution, and ... Background in enterprise AI, machine learning, agentic AI, or generative AI software. * Experience ...

Morgan Stanley

VP, AI Compliance Officer

Dallas, TX · On-site

$108 - $185/hr

This is a Vice President level position within the Innovation, Platforms and Communications ... Review Artificial Intelligence and Machine Learning models and Generative AI, to assess compliance ...

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All JobsVice President Generative Ai Machine Learning Jobs

Vice President Generative Ai Machine Learning information

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$43.5K

$157.5K

$277.5K

How much do vice president generative ai machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for vice president generative ai machine learning 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 is the difference between Vice President Generative Ai Machine Learning vs Data Science Director?

AspectVice President Generative Ai Machine LearningData Science Director
Required CredentialsAdvanced degrees in AI, ML, or related fields; extensive experience in AI/ML projectsMaster's or PhD in Data Science, Statistics, or related fields; strong analytical background
Work EnvironmentLeadership role overseeing AI/ML teams, strategic planning, and innovationManagement of data science teams, project execution, and data analysis
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsFinancial, healthcare, retail, and other industries utilizing data analytics

The Vice President Generative Ai Machine Learning focuses on leading AI/ML strategy and innovation at a high level, often overseeing generative AI projects. In contrast, the Data Science Director manages data analysis teams, ensuring project delivery and data insights. Both roles require advanced degrees and leadership skills but differ in scope and focus within the AI and data fields.

What cities are hiring for Vice President Generative Ai Machine Learning jobs? Cities with the most Vice President Generative Ai Machine Learning job openings:
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What job categories do people searching Vice President Generative Ai Machine Learning jobs look for? The top searched job categories for Vice President Generative Ai Machine Learning jobs are:
Vice President Generative Ai Machine Learning jobs near you
Infographic showing various Vice President Generative Ai Machine Learning job openings in the United States as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

AVP Cognitive Engineering (Generative AI)

INSPYR Solutions

Vienna, VA • On-site

$180K - $232K/yr

Full-time

Re-posted 9 days ago

Job description

Title: Assistant Vice President (AVP) of Cognitive Engineering
Location: Vienna, VA, hybrid.
Duration: Direct Placement
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Assistant Vice President (AVP) of Cognitive Engineering
The Assistant Vice President (AVP) of Cognitive Engineering is a senior leader within the Enterprise Data and Information Management (EDIM) organization, responsible for shaping and executing strategy for data science, advanced analytics, and applied artificial intelligence (AI). This key role leads the AI Center for Enablement, driving innovation, operational excellence, and the development of scalable AI capabilities. AVP plays a pivotal role in fostering a culture of AI-as-a-service, enabling business units to harness AI technologies effectively and realize measurable value from AI investments.
In collaboration with business stakeholders, technology partners, and cross-functional teams, the AVP oversees the design and implementation of an enterprise AI platform, ensuring alignment with strategic goals and governance standards. This leader brings deep expertise in cognitive technologies-such as Machine Learning, Natural Language Processing, Generative AI and Agentic AI-and is responsible for identifying emerging trends, guiding technology adoption, and transitioning AI solutions from incubation to enterprise-wide deployment. The AVP serves as a catalyst for innovation, talent development, and cross-functional collaboration across the organization.
Responsibilities:
  • Define and lead the strategic vision for Cognitive AI, Generative AI, Agentic AI, and Machine Learning capabilities, ensuring alignment with enterprise goals and transformation initiatives.
  • Provide executive oversight for the AI Center for Enablement, ensuring its services, platforms, and talent strategy drive enterprise-wide AI adoption, innovation, and measurable business value.
  • Oversee the development and enterprise-scale implementation of AI platforms, including the AI Foundational Platform, in collaboration with Enterprise Architecture, Cloud Engineering, and external technology partners.
  • Partners with senior leaders across business and IT to identify high-impact AI use cases, shape technology roadmaps, and accelerate the transition of AI solutions from incubation to production.
  • Champion the establishment of governance frameworks that ensure the ethical, secure, and explainable use of AI technologies, working closely with Model Risk Management, Cybersecurity, and the AI Working Group.
  • Lead the evaluation and infusion of emerging technologies in Cognitive Sciences, LLMs, NLP, Generative AI and Agentic AI through structured research, prototyping, and enterprise roadmap development.
  • Build and maintain strategic partnerships with leading AI vendors, cloud providers, and consulting firms to accelerate capability development and deliver tangible outcomes for members and internal stakeholders.
  • Accelerate use of AI capabilities and toolset across the enterprise delivering productivity and driving process efficiencies for the workforce.
  • Deliver the AI Literacy program across all organization levels in collaboration with industry partners and the Talent Development team.
  • Develop and scale high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, technical excellence, and cross-functional collaboration.
  • Establish enterprise-level success metrics for AI initiatives, ensuring measurable impact, high adoption, and alignment with EDIM and enterprise architecture standards.
  • Enable federated AI development by supporting communities of practice and democratizing access to AI tools and services, driving process efficiencies and innovation across the organization.
  • Drive execution excellence by overseeing project planning, resource allocation, and budget management for AI initiatives.
  • Apply Scaled Agile principles to ensure timely delivery, iterative value realization, and alignment with enterprise priorities.

Qualifications and Education Requirements:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field- advanced degree preferred.
  • 15+ years of progressive experience in AI, Data Science and Advanced Analytics including leadership of enterprise-scale Generative and Agentic AI initiatives in complex, multi-functional environments.
  • Proven track record in designing, deploying, and scaling AI solutions-including LLMs, Agentic AI, and prompt engineering-within cloud-native, production-grade environments.
  • Deep expertise in AI platforms and technologies, including Azure OpenAI, Cognitive Services, and operationalizing AI infrastructure such as Model Garden and Control Plane.
  • Demonstrated ability to align AI strategy with enterprise transformation goals, delivering measurable business value through innovation, automation, and productivity acceleration.
  • Strong background in cloud architecture, system design, and building scalable, secure, and resilient AI platforms in service-oriented environments.
  • Experience in delivering AI augmented capabilities to generate productivity and process efficiencies (Github, CoPilot, IBM Watsonx, or similar).
  • Demonstrated ability to drive an AI Literacy program covering stakeholders at all levels in the organization by tailoring and evolving the curriculum relevantly.
  • Experience leading high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, agile delivery, and technical excellence.
  • Extensive experience with AIOps practices including MLOps, building and managing end-to-end AI pipelines, implementing observability frameworks, monitoring model performance in production, managing incidents, and applying automated remediation techniques to ensure reliability, scalability, and compliance of AI systems.
  • Practical experience applying Scaled Agile Framework (SAFe) and Agile delivery principles to manage complex AI programs, budgets, and cross-functional execution.
  • Exceptional communication and executive presentation skills, with the ability to translate complex AI concepts into strategic insights for technical and non-technical stakeholders.

Desired Qualifications and Education Requirements:
  • Master's or Ph.D. in computer science, Data Science, Data Analytics, Statistics, Mathematics or related technical field.
  • Knowledge of instructions, standards, and procedures.
  • Expert knowledge of banking/financial industry trends, products, and services.
  • Expert knowledge of products, services, programs, policies and procedures.
  • Experience leading an AI Center for Enablement.
  • Experience building and supporting Enterprise grade APIs.

NOTES from Hiring Manager Call:
  • Needs Gen AI and Agentic AI experience. AI should be a major focus of their work, not just a piece.
  • Has 15+ years overall exp, significant people management exp (including "managing managers" exp).
  • Excellent C-level communication skills.
  • Managed a budget.
  • Must be located in Vienna, VA for 3 days a week in office every week

About INSPYR Solutions
As a leading technology solutions company, we connect top IT talent with clients to provide innovative business solutions through our IT Staffing, Professional Services, and Infrastructure Solutions divisions. There are four elements that set us apart and serve as pillars of our company philosophy: Quality, Expertise, People, and Relationships. By always striving for excellence in these areas and focusing on the human aspect of our business, we work seamlessly together with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
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