Vice President – Research & Development

Harris Computer

. Use AI development tools personally and daily and maintain practical knowledge of their capabilities and limitations.

Posted 9/22/2026full-timeRemote • United StatesLead💰 $125,000 - $135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI development tools, software architecture, and cloud technologies while leading engineering organizations towards effective AI delivery and governance. Proven ability to manage multi-product portfolios, modernize legacy systems, and translate AI capabilities into customer value.

Highest-signal resume keywords

AI Development ToolsSoftware ArchitectureCloud TechnologiesEngineering LeadershipEnterprise Software Delivery

ATS Keywords

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Hard Skills

Software DevelopmentAI ToolingGovernanceValidationCI/CDQuality StandardsTestingSecurity ReviewTechnical DocumentationBudget Accountability

Soft Skills

LeadershipMentoringCollaborationCommunicationProblem-Solving

Tools & Technologies

AI ModelsDevelopment MethodologiesEngineering MetricsR&D BudgetingVendor Management

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in EngineeringBachelor's Degree in Information Technology

Industry Keywords

Public SectorPublic SafetyRegulated MarketsTechnical IntegrationCustomer Engagement

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Use AI development tools personally and daily and maintain practical knowledge of their capabilities and limitations.
Research and experiment with AI tooling, models, and workflows and standardize successful approaches.
Lead development teams toward agentic, human-on-the-loop delivery with governance, review gates, validation, security review, and outcome reporting.
Own the AI delivery-maturity roadmap across supported products.
Make codebases and delivery pipelines accessible to AI agents through documentation, test coverage, CI/CD, and structured context.
Build AI tooling and training programs for engineers.
Report AI delivery maturity and business outcomes to executives.
Set the multi-year technical roadmap for Corrections and Law Enforcement product lines.
Own technology standards, architectural direction, and technical documentation across the portfolio.
Evaluate build, buy, and consolidation options and provide recommendations to the Executive Vice President.
Own release commitments, reporting cadence, dependencies, resource contention, and executive escalations.
Standardize development processes, tooling, and engineering metrics across portfolio companies.
Set and enforce quality, testing, defect, release-readiness, security, regulatory, and contractual standards.
Partner with Support Services to connect customer issues with engineering priorities.
Lead, mentor, recruit, retain, and develop engineering managers, directors, and technical talent.
Structure onshore, offshore, and contract capacity.
Own the R&D budget, headcount planning, capitalization, AI tooling spend, and vendor commitments.
Contribute to forecasts and executive reporting and improve development cost as a percentage of revenue.
Lead platform migration, modernization, and technical-debt retirement programs.
Act as liaison between R&D and Operations, Support, Product Management, Sales, and Finance.
Present roadmap, AI maturity, risk, and investment recommendations to executives.
Engage customers, partners, and user groups to validate product direction.
Support acquisition due diligence and technical integration.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; advanced degree preferred.
Ten or more years in software development.
At least three years leading engineering organizations at director level or above.
Demonstrated hands-on use of AI development tools in daily work.
Experience advancing an engineering organization from individual AI assistance to agentic, human-on-the-loop delivery, including governance and validation.
Strong understanding of software architecture, cloud technologies, modern development methodologies, and enterprise software delivery.
Record of translating AI capability into customer-facing value and revenue.
Proven ownership of a multi-product or multi-company development portfolio, including budget accountability.
Experience delivering enterprise software to public sector, public safety, or other regulated markets is strongly preferred.
Track record modernizing legacy platforms while continuing to support an installed customer base.
Working command of modern architecture, cloud delivery, and secure development practice, including security review of AI-generated code.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.