Job Purpose
The Head of Engineering provides strategic and operational leadership across all engineering disciplinesincluding software engineering, AI/ML, data infrastructure, architecture, and DevOpsto 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
