VP of AI.

VPs of AI set organizational strategy, own the AI roadmap at the executive level, and represent AI capabilities to the board and external stakeholders. Directors focus more on execution and team management. VPs are responsible for build vs. buy decisions, vendor partnerships, and aligning AI investments with company strategy. The role requires business acumen alongside technical depth.

Most successful VPs of AI have strong technical foundations, often with advanced degrees in ML or computer science, combined with progressive management experience. Pure business backgrounds are rare because credibility with AI teams requires genuine technical understanding. However, the role is increasingly about strategy, stakeholder management, and organizational design.

Entry level VP of AI positions in Virginia Beach typically start near $209,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $276,000. VPs of AI typically have 12 to 18 years of experience including both technical and management track work.

In Virginia Beach, large enterprises typically pay VP of AIs 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Equity packages often exceed base salary, adding $200,000 to $600,000+ annually at public companies. The $209,000 to $361,000 range reflects this entire spectrum.

In 2026, the average VP of AI salary in Virginia Beach, VA is $276,000. The 25th percentile sits at $209,000 and the 75th percentile reaches $361,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Compare the offer against the Virginia Beach range: $209,000 (25th percentile) to $361,000 (75th percentile). An offer near $276,000 is market rate. Below $209,000 warrants a conversation unless equity or unusual benefits close the gap. Leverage military transition benefits. Hampton Roads employers value candidates with security clearances and military technical experience.

VPs of AI typically have 12 to 18 years of experience including both technical and management track work. SVPs overseeing broader technology organizations earn $350,000 to $500,000+ base. C-suite transitions to CTO or Chief AI Officer provide the next step, with total compensation potentially exceeding $1,000,000. In Virginia Beach, each step up the ladder is amplified by the local cost of living multiplier, which means senior roles pay proportionally more than in lower cost markets.