Define and lead the AI software engineering strategy for the Platform Quality Engineering organization.
Identify opportunities to apply AI, machine learning, and intelligent automation to improve software testing, quality assurance, release confidence, and platform performance.
Partner with senior engineering and business leaders to align AI quality engineering initiatives with enterprise technology priorities and transformation goals.
Establish a roadmap for AI-enabled quality engineering capabilities, including test intelligence, defect prediction, root cause analysis, and quality analytics.
Lead the design, development, and implementation of AI-powered software solutions that enhance quality engineering processes and platform reliability.
Oversee the delivery of scalable tools and platforms that support automated testing, continuous quality validation, and intelligent engineering insights.
Drive the adoption of modern engineering practices across AI development, software delivery, CI/CD, observability, and platform automation.
Ensure AI solutions are integrated effectively into the SDLC and broader platform engineering ecosystem.
Build, lead, and mentor high-performing teams of software engineers, AI engineers, quality engineers, and technical leaders.
Serve as a senior technical leader and thought partner on AI architecture, engineering standards, and platform quality strategy.

Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred.
12+ years of experience in software engineering, platform engineering, quality engineering, or related technical disciplines.
5+ years of experience leading large engineering teams and delivering enterprise-scale technology solutions.
Experience building and implementing AI/ML-driven solutions in software engineering, testing, automation, or platform environments.
Strong understanding of SDLC, Agile delivery, DevOps, CI/CD, and modern quality engineering practices.
Deep knowledge of software architecture, cloud-native development, APIs, distributed systems, and platform scalability.
Experience with test automation frameworks, quality engineering tooling, observability, and engineering analytics.
Proven ability to influence senior stakeholders and lead cross-functional transformation initiatives.

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All Colorado employees receive paid sick leave in compliance with the Colorado Healthy Families and Workplaces Act and other legally required benefits, as applicable.

VP, AI Software Engineering

Key skills