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17 d agofound 2 h ago

Staff Engineer, AI Operations & Governance, Workplace AI (R5428)

Shield AI·Remote·via Lever

Posted by Shield AI on 22 September 2026, 17 days ago. Still on their Lever board when we checked 2 min ago.

remote
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationRemote
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-22
Found vialever, direct from their system

We saw it 18 days after it went up.

The posting, as the company wrote it
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.  This is a deeply technical individual contributor role reporting to the Head of AI Operations & Governance (Enterprise AI). This person will own significant portions of the technical operating load for workplace AI: platform configuration, connector and integration management, observability wiring, secrets and access hygiene, model/prompt lifecycle mechanics, and hands-on changes in production. At the same time, the role will help translate production realities into governance artifacts, risk assessments, status updates, and training/enablement support — giving the Head a force multiplier who can operate at both the technical and “softer” layers of AI operations and governance. This role will also serve as a hands-on technical responder for workplace AI incidents and production issues. The Staff Engineer is expected to investigate failures, troubleshoot across platforms, integrations, prompts, configurations, and access paths, implement mitigations or fixes where appropriate, and help restore service quickly while documenting root cause, lessons learned, and prevention steps.

Copied from Shield AI’s own board, not rewritten. Original ↗

Also open at Shield AI

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