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Vice President Artificial Intelligence Testing Jobs

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 ... Testing teams. > Collaborate with Policy and Training teams to draft, implement, and maintain ...

We're seeking someone to join our team as a Vice President, Artificial Intelligence Compliance ... Testing teams. > Collaborate with Policy and Training teams to draft, implement, and maintain ...

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 ... Testing teams. > Collaborate with Policy and Training teams to draft, implement, and maintain ...

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Vice President Artificial Intelligence Testing information

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$43.5K

$157.5K

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

As of Jun 17, 2026, the average yearly pay for vice president artificial intelligence testing 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 cities are hiring for Vice President Artificial Intelligence Testing jobs? Cities with the most Vice President Artificial Intelligence Testing job openings:
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Vice President Artificial Intelligence

$400K - $600K/yr

Full-time

Posted 18 days ago


Plymouth Rock Assurance rating

8.5

Company rating: 8.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

87th of 261 rated insurance


Job description

The Vice President Artificial Intelligence will be responsible for defining, governing, and scaling the company's artificial intelligence strategy to drive underwriting excellence, claims efficiency, operational productivity, and superior customer outcomes. As a member of the executive leadership team, the Vice President will ensure that AI initiatives are aligned with business strategy, regulatory expectations, ethical standards, and risk management frameworks specific to the property & casualty insurance industry.

This role will lead the transition from experimentation to enterprise-grade AI, embedding advanced analytics, machine learning, and generative AI across core insurance functions while ensuring transparency, fairness, security, and compliance. The ideal candidate will combine deep expertise in artificial intelligence with strong strategic vision, exceptional communicative and persuasive skills, and an ability to lead transformative projects from inception to execution. An advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Data Science, or a related field, is preferred.Unusuallyhigh levelsof energy, motivation, and determination are alsopreferred.

In this role, you will:

  • Define and execute a multi-year enterprise AI strategy aligned with corporate objectives, growth plans, and risk appetite.
  • Serve as executive owner of AI vision, roadmap, investment prioritization, and value realization.
  • Propose AI strategies that align with the company's overall business objectives and identify opportunities where AI can drive innovation, efficiency, and business transformation.
  • Collaborate with senior executives, department heads, and cross-functional teams to align AI initiatives with company goals.
  • Build and develop a high-performing team of 25 AI/ML professionals to design, implement, and scale advanced AI and machine learning solutions.

Salary Range:

The pay range for this position is $400,000 to $600,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.

About Plymouth Rock

Founded in 1982 and headquartered in Boston, writing approximately $2.5 billion in annual premiums, Plymouth Rock is a privately held insurer specializing in automobile and home insurance. Plymouth Rock considers itself to be the "largest of the entrepreneurial insurers" and the "smallest of the large insurers." We blend the agility, innovation, and growth potential of a dynamic startup with the resources, stability, and security of a well-established organization.

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