VP of AI-Driven R&D & Platform Modernization

Harris Computer

Washington (District of Columbia)

Hybrid

USD 125,000 - 135,000

Full time

14 days+

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Job summary

Harris Computer seeks a highly strategic and hands-on VP of Research & Development to lead AI-driven product roadmaps and governance across our portfolio. You will guide AI-enabled delivery, establish standards, and partner with executive leadership on roadmap acceleration and security review of AI-generated code.

Ideally you bring a decade of software leadership, strong cloud and architecture expertise, and a track record translating AI capability into customer value and revenue in regulated

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field; advanced degree preferred.
  • Ten or more years in software development with at least three years leading engineering organizations at director level or above.
  • Hands-on use of AI development tools with governance and safety considerations.

Responsibilities

  • Set and drive the multi-year technical roadmap for AI-enabled product lines.
  • Lead release commitments and standardize development processes across portfolio companies.
  • Own AI delivery maturity and governance with measurable business outcomes.

Skills

AI tooling
Leadership
Software architecture
Cloud technologies
Enterprise software
Budget management
Public sector experience

Education

Bachelor's degree in CS/Engineering or related field
Advanced degree preferred

Tools

CI/CD pipelines
Cloud platforms (AWS/GCP/Azure)
Security review tooling

Job description

Harris Computer seeks a highly strategic and hands-on VP of Research & Development to lead AI-driven product roadmaps and governance across our portfolio. You will guide AI-enabled delivery, establish standards, and partner with executive leadership on roadmap acceleration and security review of AI-generated code.

Ideally you bring a decade of software leadership, strong cloud and architecture expertise, and a track record translating AI capability into customer value and revenue in regulated

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