CAIO: Chief AI Officer

Role mandate

Build the capability for the era ahead.

This team member will combine subject-matter depth, sound judgment and disciplined execution to move the mission from architecture to measurable results.

Responsibilities

• Own the Super Intelligence workstream for Chief AI Officer and deliver measurable technical or operating outcomes.
• Set the strategy, operating priorities and measurable outcomes for the function.
• Build governed software, models or data pipelines for reliable enterprise and mission operations.
• Define testing, monitoring, security and human-approval controls for production deployment.

Required qualifications

• Senior leadership experience in a technically complex or regulated organization.
• Hands-on experience delivering production software, machine-learning systems, embedded code or digital models.
• Strong skills in system design, testing, version control and technical documentation.

Preferred experience

• Experience with autonomous agents, closed models, neural networks, real-time systems or hardware acceleration.
• Background in regulated, aerospace or high-availability environments.
• Experience building a new function, business unit or company from an early stage.

Operational tools used in the role

Chief positions are evaluated on practical command of the operating systems, evidence and decision tools used to run the function—not on performing the staff engineer's daily calculations.

• Model and agent inventory, evaluation dashboards, model registry, data catalog and human-approval audit trails.
• Risk, drift, incident, compute-cost and service-level dashboards used for production governance.
• Portfolio roadmaps, architecture decisions, policy exceptions and executive value-realization reporting.

The hiring sequence will follow operating milestones and project requirements. The position may begin through advisory, consulting or project-based work before moving into a full-time role.

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