Head of Engineering
il y a 1 jour
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.
· –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.
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