Staff Engineer, AI Operations – Governance, Workplace AI

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $200k - $300k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Shield AI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🤖 Artificial Intelligence

🚀 Aerospace

🎖️ Defense

Artificial Intelligence • Aerospace • Defense

Shield AI is a leading developer of AI-driven military solutions, focusing on enhancing mission autonomy and battlefield awareness. Their platform, Hivemind, enables rapid deployment of intelligent systems for various defense applications, including drone operation and surveillance. With a commitment to utilizing advanced technology, Shield AI aims to protect service members and civilians by revolutionizing defense technologies through autonomous systems.

📋 Description

• Own day-to-day configuration of AI platforms and orchestration tools • Design, configure, and maintain connectors and extensions into SaaS systems, data sources, and workflow tools • Set up and maintain logging, metrics, and alerts for AI workflows and tools • Implement secure storage and rotation for API keys, tokens, and credentials • Maintain access control configurations and partner with Security/IT on reviews and remediation • Implement model swaps, policy updates, prompt changes, version upgrades, and production rollout plans • Maintain detailed change records and rollback paths • Run experiments and benchmarks on models, tools, and configurations • Translate logs, metrics, and incidents into risk, reliability, and compliance narratives • Co-author operational playbooks, runbooks, and training materials • Participate in training or office hours • Triage, investigate, mitigate, fix, and document workplace AI incidents and production issues • Report to the Head of AI Operations & Governance (Enterprise AI)

🎯 Requirements

• 4–7+ years in roles such as platform engineer, DevOps/SRE, ML/AI operations, or technical SaaS operations, with hands-on responsibility for production systems • Strong fluency in APIs, integrations, and infrastructure-as-config concepts • Ability to work in code/JSON/YAML configuration environments and with automation • Hands-on experience with monitoring and observability tools, including logs, metrics, and alerts • Practical experience with at least one class of AI or automation platforms • Comfort with secure secrets management and access control practices • Ability to document technical work and decisions clearly for technical and non-technical audiences • Experience in ML/AI ops specifically, preferred • Familiarity with prompt engineering, policies/guardrails, and LLM configuration patterns, preferred • Exposure to governance, compliance, or risk frameworks, preferred • Experience collaborating with Security, Legal, and business stakeholders, preferred • Prior involvement in incident response, change management, or on-call rotations, preferred • Offers contingent on a cleared background and possible reference check

🏖️ Benefits

• Bonus • Benefits • Equity • Temporary benefits package applicable after 60 days of employment for temporary employees