Director of AI Transformation within Engineering

About

We are looking for a visionary and execution-oriented Director of AI Transformation within Engineering to lead the evolution of our Engineering and R&D organization. This role is dedicated to re-engineering how our engineers work, think, and deliver value.

As the architect of our internal AI evolution, you will be responsible for defining and executing a roadmap that integrates AI into every facet of the R&D lifecycle-from ideation and coding to testing, deployment, and cultural mindset. You will sit at the intersection of Engineering, Operations, and Change Management to ensure our R&D engine remains world-class in the age of intelligence.

Core Responsibilities

• Define and execute the "AI-First" R&D roadmap to transition from manual to augmented engineering.
• Design an operating model that balances rapid AI experimentation with security and governance.
• Partner with the Chief Development Officer to ensure AI transformation scales alongside business growth.
• Integrate GenAI tools (e.g., Copilot, AI agents) into every stage of the SDLC.
• Overhaul workflows for code reviews, testing, and documentation using LLM-driven automation.
• Standardize AI-assisted development practices to ensure consistency across all engineering squads.
• Lead organizational change to foster a culture of AI-driven continuous improvement.
• Launch internal training and institutionalize prompt engineering and AI literacy.
• Identify and mitigate barriers to AI tool adoption within the developer community.
• Define the "AI ROI" using metrics like Developer Velocity, Quality of Service, and Cycle Time.
• Deliver data-driven insights to leadership regarding the efficacy and impact of AI investments.
• Continuously refine processes based on performance data and developer sentiment.

Requirements

• 10+ years in Engineering Leadership, DevOps Transformation, or Technical Program Management. Proven experience leading large-scale organizational change is a must.
• Deep understanding of the modern SDLC, cloud-native architecture, and the current landscape of LLMs/Generative AI tools for developers.
• Expert-level knowledge of Agile methodologies and how they must evolve to accommodate AI-driven workflows.
• Exceptional communication skills with the ability to influence C-suite stakeholders and win the "hearts and minds" of cynical engineers.

Compensation

Base Hiring Range: $175,000 - $200,000

In accordance with Colorado's Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities.