Director Engineering - AI Native

Responsibilities

• Build and lead a multi-team engineering organization with clear goals, outcome-based metrics, and a culture of continuous improvement.
• Improve delivery throughput and resource utilization through streamlined processes, automation, and AI-enabled tools without compromising quality or maintainability.
• Advance AI-enabled engineering practices by integrating AI tools and automation into workflows with human oversight and clear guardrails.
• Lead roadmap execution with hands-on technical and architectural oversight to ensure scalable, secure, and maintainable solutions.
• Align teams to enterprise architecture, governance, and shared engineering standards to improve consistency and code quality.
• Partner across product, program, operations, and business teams to translate priorities into engineering plans that deliver measurable outcomes.
• Modernize development and testing practices through automation, DevOps, and AI-enabled workflows that improve quality, security, and efficiency.
• Recruit, develop, and retain strong engineering talent while building a culture of growth, accountability, and innovation.

Qualifications

• 8+ years of software engineering experience, including 3–5 years leading engineering teams as a people manager.
• Bachelor’s degree in Computer Science or a related field or equivalent; Master’s degree preferred.
• Extensive experience designing and delivering complex software systems using Java, React/Angular, microservices, relational and NoSQL databases, cloud platforms, and modern AI-enabled engineering practices, with recent hands-on technical work.
• Proven success leading multiple teams and managers to deliver enterprise software across distributed organizations.
• Strong leadership skills, including building, developing, and mentoring effective engineering teams.
• Strong understanding of Lean, iterative, and flow-based delivery practices that support quality, continuous improvement, and effective execution.
• Track record of advancing engineering practices through automated testing, TDD, and CI/CD.
• Solid understanding of software operations and DevOps practices, including reliability, monitoring, telemetry, and incident response.
• Strong problem-solving skills and sound judgment in complex technical environments.
• Ability to set and execute short- and long-term goals across projects and teams.
• Strong verbal and written communication skills, with the ability to explain technical concepts clearly to diverse stakeholders.
• Experience in healthcare or other regulated industries with strong compliance, security, and data privacy requirements is preferred.