Head of Engineering

Job Purpose

The Head of Engineering provides strategic and operational leadership across all engineering disciplines—including software engineering, AI/ML, data infrastructure, architecture, and DevOps—to build secure, scalable, and high-performing government-grade AI systems.

Key Responsibilities

Leadership & Strategy

• Define and execute the engineering vision, strategy, and long-term roadmap.
• Build a high-performing engineering culture centered on quality, collaboration, and innovation.
• Align engineering goals with organizational priorities and product strategy.

AI System Development

• Oversee the development of production-grade AI pipelines, platforms, and ecosystems.
• Ensure AI products adhere to secure-by-design and government performance standards.
• Guide teams in building scalable architectures for RAG, LLM, and automation systems.

Engineering Management

• Lead, scale, and mentor engineering teams across multiple technical disciplines.
• Recruit and develop top engineering talent.
• Establish effective team structures, workflows, and performance frameworks.

Technical Execution & Quality

• Oversee technical architecture, system design, and operational excellence.
• Enforce best practices in software engineering, automation, DevOps, security, and documentation.
• Ensure system reliability through monitoring, observability, performance optimization, and incident management.
• Define technical governance, evaluation methodologies, and AI reliability/quality standards.
• Oversee rigorous testing, benchmarking, and compliance validation to ensure production-grade performance.

Cross-Functional Collaboration

• Partner with product, data, AI/ML, and business stakeholders to deliver impactful solutions.
• Support technical evaluations, feasibility studies, and architectural reviews.

Qualifications & Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology or related field.
• 10–15+ years of experience in engineering roles, including 5+ years in senior leadership positions.
• Proven experience scaling engineering organizations and managing complex systems.
• Strong expertise in software engineering, AI/ML environments, cloud infrastructure, and DevOps.
• Excellent communication, leadership, and stakeholder management skills.
• Experience delivering enterprise or government-scale AI systems is a plus.
• Prior work in regulated or high-security environments is a plus.