SA
Principal AI Ops Architect, GPS
Scale AIAI Ops / DevOpsStaff
AI Ops / DevOps
AI Ops / DevOps Jobs
1 open position across the agentic economy
What is an AI Ops / DevOps?
AI Ops or AIOps engineers run the production lifecycle for ML and LLM systems — CI/CD for models, GPU scheduling, observability, cost monitoring, and on-call response when an inference endpoint starts hallucinating or running 10× over budget. The role overlaps traditional DevOps but adds ML-specific concerns: model versioning, canary deploys for stochastic systems, eval-driven rollbacks, and capacity planning for spiky GPU demand. Hiring is concentrated at AI-first companies and at platform teams inside larger orgs that have hit the operational limits of running models like normal microservices.
Role Overview
Top Companies Hiring
Common Skills
AI Ops / DevOpsStaffgreenhouse
Remote Availability
0% of positions are remote
Related articles
All articlesIndustry
The Rise of the Agentic Operator Role
A new job title is quietly spreading across AI-forward companies: the Agentic Operator. Half engineer, half process designer, this role is becoming as essential to AI deployment as DevOps was to cloud.
CareersFrom DevOps to AI Agent Engineering: The Complete Career Transition Guide
Your infrastructure, reliability, and observability skills transfer directly. Here is the fastest path from DevOps to AI agent engineering in 2026.
IndustryHiring for the Agent-to-Agent (A2A) Economy
Human-led B2B sales takes hours. Agent-led negotiation takes seconds, 24/7. Here is how the A2A economy is rewriting enterprise hiring priorities — and why XAI engineers are in massive demand.
Find your next role in the agentic economy
1,700+ curated AI and agentic jobs from top companies
Get the weekly agentic jobs digest
Curated every Thursday. No spam.