Vice President of Research & Development Job Wyoming area,Michigan USA,Software Development

Use AI development tools personally and daily, holding a current and practical command of what they can and cannot do rather than relying on secondhand reporting.
Research and experiment continuously with new AI tooling, models, and workflows, then bring what proves out into the organization's standard practice.
Lead every development team to agentic, human-on-the-loop delivery, where AI agents own bounded work end to end while engineers set goals, define guardrails, and review outcomes.
Own the AI delivery-maturity roadmap across all actively supported products, applied stage by stage across the lifecycle rather than as a single global rating.
Stand up the governance that makes delegated agent work safe, including review gates, validation, security review of AI-generated code, and measurable outcome reporting.
Make the codebase and delivery pipeline accessible to AI agents through documentation, test coverage, CI/CD, and structured context.
Build the tooling and training program that moves engineers from AI-assisted work, to AI-directed work, to fully delegated agent execution.
Report AI delivery maturity and the business outcomes it produces on a recurring executive cadence.

AI Fluency and Agentic Delivery

Use AI development tools personally and daily, holding a current and practical command of what they can and cannot do rather than relying on secondhand reporting.
Research and experiment continuously with new AI tooling, models, and workflows, then bring what proves out into the organization's standard practice.
Lead every development team to agentic, human-on-the-loop delivery, where AI agents own bounded work end to end while engineers set goals, define guardrails, and review outcomes.
Own the AI delivery-maturity roadmap across all actively supported products, applied stage by stage across the lifecycle rather than as a single global rating.
Stand up the governance that makes delegated agent work safe, including review gates, validation, security review of AI-generated code, and measurable outcome reporting.
Make the codebase and delivery pipeline accessible to AI agents through documentation, test coverage, CI/CD, and structured context.
Build the tooling and training program that moves engineers from AI-assisted work, to AI-directed work, to fully delegated agent execution.
Report AI delivery maturity and the business outcomes it produces on a recurring executive cadence.

Technical Roadmap and AI-Driven Opportunity

Set the multi-year technical roadmap for the Corrections and Law Enforcement product lines, planned against the pace agentic delivery now makes possible rather than the timelines conventional development assumed.
Rebuild roadmap assumptions around that acceleration. Pull committed work forward where AI-enabled delivery shortens the build, and direct the recovered capacity toward customer problems that were previously out of reach.
Plan the roadmap around customer problems as much as product features, judging each item on whether AI can reach the outcome faster than a conventional build cycle would.
Decide deliberately where AI belongs embedded in the products customers buy and where it is better applied as a fast path to a customer outcome, and treat both as revenue opportunities rather than internal efficiency alone.
Balance that acceleration against customer commitments already in flight and the realities of an installed base that cannot absorb change at an unlimited rate.
Own technology standards, architectural direction, and technical documentation across the portfolio, and hold the development organizations to them.
Evaluate build, buy, and consolidation options where product lines overlap, and bring recommendations with supporting analysis to the Executive Vice President.
Monitor…