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Vp Medical Artificial Intelligence Jobs (NOW HIRING)

PenFed Credit Union

SVP Artificial Intelligence

Mclean, VA · On-site

$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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Vice President, Medical Imaging

Raleigh, NC · Remote

Vice President, Medical Imaging - US - Remote ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.

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Vice President, Medical Imaging - US - Remote ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.

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Vice President, Medical Imaging

Blue Bell, PA · Remote

Vice President, Medical Imaging - US - Remote ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.

ICON

Vice President, Medical Imaging

Blue Bell, PA · On-site

Vice President, Medical Imaging - US - Remote ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.

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All JobsVp Medical Artificial Intelligence Jobs

Vp Medical Artificial Intelligence information

See salary details

$43.5K

$157.5K

$277.5K

How much do vp medical artificial intelligence jobs pay per year?

As of Aug 7, 2026, the average yearly pay for vp medical artificial intelligence 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 a VP of Medical Artificial Intelligence, and why are they important?

To thrive as a VP of Medical Artificial Intelligence, you need advanced expertise in AI/ML, healthcare informatics, and a strong background in medicine or biomedical engineering, often supported by a PhD, MD, or equivalent experience. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), HIPAA-compliant data platforms, and regulatory standards is essential, along with experience in leading cross-functional teams. Strategic vision, leadership, and excellent communication skills are vital soft skills for aligning diverse stakeholders and driving innovation. These skills and qualities are crucial to ensure that cutting-edge AI solutions are clinically relevant, ethically sound, and successfully adopted in healthcare environments.

What are some key challenges a VP of Medical Artificial Intelligence might face when integrating AI solutions into clinical workflows?

A VP of Medical Artificial Intelligence often encounters challenges such as ensuring that AI solutions are compliant with healthcare regulations, integrating new technologies with existing electronic health record systems, and fostering adoption among clinical staff who may be unfamiliar or hesitant about AI tools. Building cross-functional teams that include clinicians, data scientists, and IT specialists is crucial for successful implementation. Close collaboration with hospital leadership and ongoing training for end-users are also essential to smooth the transition and maximize the benefits of AI-driven healthcare solutions.

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

AspectVp Medical Artificial IntelligenceMedical Data Scientist
Required CredentialsAdvanced degrees in AI, healthcare, or related fields; leadership experienceMaster's or PhD in Data Science, Statistics, or related fields
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationData analysis, model development, research in healthcare settings
Employer & Industry UsageHealthcare organizations, biotech firms, AI healthcare startupsHospitals, research institutions, healthcare tech companies

The Vp Medical Artificial Intelligence focuses on strategic leadership and overseeing AI initiatives in healthcare, while Medical Data Scientists primarily analyze healthcare data and develop models. Both roles require strong technical backgrounds, but the Vp role emphasizes leadership and strategic planning, whereas the Data Scientist role is more hands-on with data analysis and model development.

What does a VP of Medical Artificial Intelligence do?

A VP of Medical Artificial Intelligence leads strategy and oversees the development and implementation of AI technologies within healthcare organizations. They collaborate with medical professionals, data scientists, and engineers to create solutions that improve patient care, streamline operations, and ensure regulatory compliance. Their role also involves evaluating new AI advancements, managing teams, and ensuring that ethical considerations are addressed in all AI applications.
More about Vp Medical Artificial Intelligence jobs
What are the most commonly searched types of Medical Artificial Intelligence jobs? The most popular types of Medical Artificial Intelligence jobs are:
What job categories do people searching Vp Medical Artificial Intelligence jobs look for? The top searched job categories for Vp Medical Artificial Intelligence jobs are:
Vp Medical Artificial Intelligence jobs near you
Infographic showing various Vp Medical Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Vice President, Artificial Intelligence

Rapid7

San Francisco, CA • On-site

Full-time

Posted 29 days 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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