Shield AIPosted 1d ago

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

Staff Engineer, AI Operations & Governance, Workplace AI (R5428) at Shield AI scores 85 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Remote (Remote)seniorFull Time Employee$200k-$300k

AI in this role

Staff Engineer owning AI operations, governance, observability, and incident response for enterprise workplace AI systems.

observability-toolsintegrations-platforms

ai-operationsai-governanceincident-responseplatform-engineeringprompt-lifecycle

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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI OperationsAI GovernanceIncident ResponsePlatform EngineeringPrompt LifecycleObservability ToolsIntegrations Platforms

Questions you could be asked

Tell me about a project where ai operations was part of your work. What did you do?
Tell me about a project where ai governance was part of your work. What did you do?
Tell me about a project where incident response was part of your work. What did you do?
Tell me about a project where platform engineering was part of your work. What did you do?
Tell me about a project where prompt lifecycle was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Operations, AI Governance, Incident Response, Platform Engineering, and Prompt Lifecycle. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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