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Vp Artificial Intelligence Cognitive Science Jobs

PenFed Credit Union

SVP Artificial Intelligence

Mclean, VA

$158K - $198K/yr

The Senior Vice President (SVP), Enterprise Artificial Intelligence (AI), is responsible for ... Bachelor's degree in computer science, Data Science, Information Systems, Engineering, Business, or ...

Morgan Stanley

VP, AI Compliance Officer

Dallas, TX · On-site

$108 - $185/hr

We're seeking someone to join our team as a Vice President, Artificial Intelligence Compliance ... Bachelor's degree in Business, Computer Science, Engineering, Statistics, Mathematics, Risk ...

Morgan Stanley

VP, AI Compliance Officer

Dallas, TX · On-site

$108K - $185K/yr

We're seeking someone to join our team as a Vice President, Artificial Intelligence Compliance ... Computer Science, Engineering, Statistics, Mathematics, Risk Management, or a related field.

Morgan Stanley

VP, AI Compliance Officer

Baltimore, MD · On-site

$108K - $185K/yr

We're seeking someone to join our team as a Vice President, Artificial Intelligence Compliance ... Computer Science, Engineering, Statistics, Mathematics, Risk Management, or a related field.

Morgan Stanley

VP, AI Compliance Officer

Dallas, TX · On-site

$108K - $185K/yr

We're seeking someone to join our team as a Vice President, Artificial Intelligence Compliance ... Computer Science, Engineering, Statistics, Mathematics, Risk Management, or a related field.

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Vp Artificial Intelligence Cognitive Science information

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$99.5K

$145.6K

$239.5K

How much do vp artificial intelligence cognitive science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for vp artificial intelligence cognitive science in the United States is $145,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $187,000.00 per year, depending on experience, location, and employer.

What is the difference between Vp Artificial Intelligence Cognitive Science vs Data Scientist?

AspectVp Artificial Intelligence Cognitive ScienceData Scientist
Required CredentialsAdvanced degrees in AI, Cognitive Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic leadership in R&D, cross-disciplinary teamsData analysis, modeling, and visualization in various industries
Industry UsageTech companies, research institutions, AI-focused organizationsFinance, healthcare, marketing, tech, and more

The Vp Artificial Intelligence Cognitive Science typically focuses on leading AI and cognitive science initiatives at a strategic level, requiring advanced degrees and experience in research. In contrast, Data Scientists primarily analyze data to derive insights, often with a focus on modeling and statistical techniques. Both roles are vital in data-driven industries but differ in scope, responsibilities, and required expertise.

What are the key skills and qualifications needed to thrive as a VP of Artificial Intelligence and Cognitive Science?

To thrive as a VP of Artificial Intelligence and Cognitive Science, you need deep expertise in AI, machine learning, and cognitive science, typically supported by an advanced degree (e.g., PhD) and extensive experience in research or industry leadership. Proficiency with AI frameworks (such as TensorFlow or PyTorch), data analytics platforms, and familiarity with regulatory standards or certifications are highly valued. Exceptional strategic thinking, communication, and leadership skills set top candidates apart by enabling them to guide multidisciplinary teams and align AI initiatives with business objectives. These skills and qualifications are crucial for driving innovation, ensuring ethical and effective AI deployment, and maintaining a competitive edge in rapidly evolving technology landscapes.

What does a VP of Artificial Intelligence and Cognitive Science do?

A VP of Artificial Intelligence and Cognitive Science is a senior executive responsible for leading the development and implementation of AI strategies within an organization, with a focus on leveraging cognitive science principles. They oversee teams of data scientists, researchers, and engineers to create intelligent systems that mimic human thought and behavior. This role involves collaborating with other departments, setting research agendas, and ensuring that AI initiatives align with business goals and ethical standards. Additionally, they stay updated on the latest advancements in AI and cognitive science to drive innovation and maintain a competitive edge.

What are some of the main challenges faced by a VP of Artificial Intelligence and Cognitive Science when integrating AI solutions across different departments?

A VP of Artificial Intelligence and Cognitive Science often encounters challenges such as aligning AI initiatives with diverse departmental goals, ensuring data quality and accessibility, and addressing varying levels of AI readiness within teams. Successfully integrating AI requires effective communication, change management, and building interdisciplinary teams that can bridge technical and domain-specific knowledge. Additionally, fostering a culture of innovation and continuous learning is crucial to maximize the impact of AI solutions across the organization.
What cities are hiring for Vp Artificial Intelligence Cognitive Science jobs? Cities with the most Vp Artificial Intelligence Cognitive Science job openings:
What are the most commonly searched types of Artificial Intelligence Cognitive Science jobs? The most popular types of Artificial Intelligence Cognitive Science jobs are:
What job categories do people searching Vp Artificial Intelligence Cognitive Science jobs look for? The top searched job categories for Vp Artificial Intelligence Cognitive Science jobs are:
Vp Artificial Intelligence Cognitive Science jobs near you
Infographic showing various Vp Artificial Intelligence Cognitive Science job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $145,590 per year, or $70 per hour.

Vice President, Artificial Intelligence

Rapid7

San Francisco, CA • On-site

Full-time

Re-posted 5 hours ago

Job description

Vice President, Artificial Intelligence
Rapid7 is seeking a VP, AI to define and drive our global artificial intelligence strategy across our entire product portfolio and internal operations. Sitting at the intersection of applied machine learning research, product innovation, and go-to-market strategy, this role serves as the primary owner of AI capabilities within the Rapid7 Command Platform. This is an exceptional opportunity to spearhead high-impact AI initiatives that protect organizations worldwide and shape the future of cybersecurity.
About the Team
The AI Engineering team at Rapid7 unifies data science, machine learning engineering, and product management to deliver cutting-edge security solutions. Collaborating closely with Rapid7 SOC and managed services teams, this global organization builds the intelligent foundations that keep our customers ahead of the evolving threat landscape.
About the Role
As the Vice President, Artificial Intelligence, you will report directly to the Chief Product and Technology Officer and own the vision for Rapid7's AI future. You will shape and execute a multi-year strategy that embeds AI across our full product portfolio and optimizes our internal operations.
Your core focus will be to:
  • Define and own the multi-year AI strategy spanning generative AI, agentic workflows, machine learning-based detection, and responsible AI governance.
  • Build and maintain a compelling AI product roadmap aligned to the Rapid7 Command Platform including Exposure Command, InsightIDR, and managed detection and response services.
  • Build and lead a high-performing AI organization, defining the team structure, roles, and capabilities needed to execute Rapid7's AI strategy as it evolves.
  • Drive the development of large language model-powered and agentic capabilities like AI-generated risk summaries and autonomous security operations center workflows.
  • Partner with Rapid7 SOC teams to integrate threat intelligence data into AI models for adversary-aware vulnerability prioritization and detection.
  • Establish robust machine learning operations practices, model governance, and responsible artificial intelligence frameworks across all features.
  • Serve as an external thought leader and executive spokesperson for Rapid7 with analysts, customers, and at major industry conferences.
  • Collaborate with Sales and Customer Success to translate sophisticated AI capabilities into measurable business outcomes for cybersecurity leaders.

The skills and qualities you'll bring include:
  • Bring 12+ years of progressive experience in artificial intelligence and machine learning, with at least 5 years in a senior executive leadership role within a SaaS or cybersecurity company.
  • Demonstrate a proven track record of successfully building and shipping AI-powered products at scale, including generative AI, large language model integration, and agentic systems.
  • Possess a deep understanding of the cybersecurity domain, including threat detection, vulnerability management, exposure management, or managed services markets.
  • Exhibit expert ability to lead, mentor, and grow cross-functional teams of data scientists, machine learning engineers, and specialized product managers.
  • Show strategic doing by breaking down complex, multi-year research and product visions into time-bound milestones, executing quickly, and pivoting where necessary to achieve meaningful outcomes.
  • Drive cross-functional collaboration by building a global network and working seamlessly across organizational boundaries to deliver sustainable improvements that create customer value.
  • Practice accountability by holding self and teams responsible for driving high-quality product delivery and meeting business commitments within clear timelines.
  • Demonstrate excellent communication skills, with the ability to clearly convey complex artificial intelligence concepts and roadmap rationale to foster commitment from board members and non-technical stakeholders.
  • Maintain technical fluency with machine learning frameworks, cloud AI platforms, large language models, prompt engineering, and retrieval-augmented generation architectures.
  • Apply a strong understanding of model monitoring, machine learning operations, and AI observability in production environments to ensure system reliability and explainability.
  • Embody our core values to foster a culture of excellence that drives meaningful impact and collective success.

We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today.
#LI-CG4
About Rapid7
At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome.
Protecting 11,500+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.
Rapid7, Inc. is committed to fair and equitable compensation practices. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. We evaluate compensation decisions on a case-by-case basis, and it is not typical for an individual to be hired at the very top of the salary range.
The annual salary range for this role, depending on location, is:
United States: $322,200.00 - 435,900.00 USD Annual
Salary ranges may vary based on geographical location. This range does not include variable/incentive compensation, equity and benefits (where applicable/eligible).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or any other status protected by applicable national, federal, state or local law.

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