AI-Native Software Engineering Director

About the role

This senior leadership position will guide the transformation of software engineering practices by embedding AI-native principles across the development lifecycle. You will create and operationalize AI‑assisted workflows, agentic processes, and data‑driven experimentation to boost productivity, quality, and delivery speed.

Key responsibilities

• Design, execute, and evaluate AI‑native engineering experiments across development, testing, and delivery.
• Identify bottlenecks and apply AI‑assisted tools, automation, and workflow enhancements.
• Assess emerging AI development tools, coding agents, and productivity platforms; implement successful solutions at scale.
• Define and institutionalize AI‑native engineering standards, guardrails, and quality frameworks.
• Develop AI‑enabled quality engineering approaches for testing, validation, code review, and production readiness.
• Establish metrics to measure productivity, developer experience, and delivery performance.
• Analyze experimental outcomes and decide on scaling, refinement, or retirement of practices.
• Create playbooks, frameworks, and enablement materials to standardize successful AI‑native practices.
• Coach engineers and technical leaders in adopting AI‑driven workflows.
• Drive organization‑wide adoption of AI‑native engineering through influence, training, and continuous improvement.
• Define responsible AI usage policies for code generation, security, compliance, and maintainability.
• Partner with cross‑functional and executive stakeholders to align AI transformation with business objectives.

Required profile

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 8+ years of hands‑on software engineering experience building production‑grade systems.
• Strong background in modern software engineering practices, including CI/CD, DevOps, testing, and cloud‑native development.
• Experience using AI‑assisted development tools, coding agents, or AI‑powered engineering workflows in real production environments.
• Proven track record of driving engineering transformation, developer productivity, or technical enablement initiatives.

Required skills

• AI‑assisted development tools
• Coding agents
• CI/CD pipelines
• DevOps practices
• Testing frameworks
• Cloud‑native development