AI Director, Development Engineering

You will lead development of current and future capabilities while shaping engineering strategy, delivery standards, architecture direction, and team performance. You will act as a change agent for modern software delivery—using AI, automation, DevSecOps, CI/CD, cloud practices, quality gates, and engineering intelligence to improve how teams build and ship.

You bring strategic judgment and practical execution. We trust you to shape the future—and make it real.

· Define and execute engineering strategy aligned to business and product goals.

· Improve SDLC maturity, cloud delivery, architecture governance, and quality practices.

· Lead and develop high-performing teams in a fast-paced environment.

· Use AI-enabled insights to improve delivery predictability, technical decision-making, and operational effectiveness.

· Drive modernization across engineering practices, tools, and operating models.

Bachelor’s degree in Computer Science or a related field required. Master’s degree preferred.

Ten or more years of software development experience, including complex whole lifecycle software development management. Five or more years leading staff. Five or more years in software product development or management. Experience leading technology direction preferred.

Set vision, translate strategy into execution, make complex trade-offs, lead through change, influence executives and teams, develop leaders, evaluate technology direction, and govern responsible AI-enabled engineering practices.

Jira, VersionOne, Azure DevOps, TFS, MS Office, CI/CD platforms, cloud platforms, infrastructure as code tools, quality analytics, test automation frameworks, observability platforms, documentation systems, engineering intelligence tools, and approved AI-enabled engineering and leadership tools.

Engineering strategy execution, SDLC maturity, product delivery quality, cloud and CI/CD adoption, technical debt reduction, team performance, roadmap trade-off quality, stakeholder trust, responsible AI adoption, and measurable improvement in product and engineering outcomes.

AI-Assisted Software Development

Advanced

AI-Driven Code Review and Quality Assurance

AI-Driven DevOps and CI/CD Automation

AI-Augmented Software Architecture Design

AI-Enabled Technical Debt Management

AI-Enabled Product Prioritization

AI-Driven Project Portfolio Analytics

Predictive Workforce Planning

Establishes operational objectives, policies, procedures, and work plans and delegates assignments. Develops, modifies, and executes policies that affect immediate operations and may have company-wide effect. Accountable for department budget and business impact.