Shield AI
Mission Assurance Lead (R5896)
Dallas, Texas · On-site · Senior
- Discipline
- Manufacturing
- Industry
- Defense
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Aircraft Operations Division
Mission Assurance Lead providing engineering-informed oversight of aircraft maintenance, configuration, documentation, and field operations to ensure readiness, system integrity, and process conformance across Shield AI aircraft programs.
Required
- maintenance process assurance
- configuration control
- field operations
- nonconformance management
- risk detection
- corrective actions
- documentation oversight
Preferred
- hangar/test site field experience
- aircraft systems knowledge
- safety and quality process familiarity
- data-driven assurance
Employer description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Descritpion:
Shield AI is seeking a Mission Assurance Lead to provide independent, engineering‑informed oversight of maintenance, configuration, documentation, and field operations across Shield AI aircraft operations. The role ensures Shield AI maintains continuous, objective insight into aircraft readiness, system integrity, and process conformance
This position combines maintenance process assurance, operational safety, configuration control, and early risk detection. The Inspector validates requirements, verifies execution, identifies nonconformances early, and drives corrective actions that prevent risks from reaching the aircraft, mission, or customer.
The ideal candidate is comfortable working in hangars, test events, field sites, and deployed environments; recognizes disciplined maintenance and operational practices; and converts observations into actionable, scalable assurance data.
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