AI Operations · Roles
The AI Operations roles.
What each does, what skills it needs and what it pays — with real data by country.
AI Operations Manager
The AI Operations Manager owns getting a company's AI agents and automations into production, working and measured. They don't research models — they run the function.
Head of AI Operations
The Head of AI Operations runs the whole function: strategy, team, governance and budget. They answer for AI's aggregate business impact, not a single project.
AI Enablement Lead
The AI Enablement Lead makes sure people actually use AI: training, playbooks, adoption and internal support. They turn tools into habits.
AI Automation Specialist
The AI Automation Specialist builds concrete process automations with AI: wires up systems, ships the flow and leaves it measuring the savings. The most hands-on execution profile.
AI Workflow Engineer
The AI Workflow Engineer designs and builds complex workflows where humans and agents combine. A step beyond one-off automation: they orchestrate the whole process.
Agentic AI Engineer
The Agentic AI Engineer builds AI agents: systems that reason, use tools and act with autonomy. The most technical profile in the function.
AI Governance Lead
The AI Governance Lead makes sure the company's AI is reliable, safe and compliant: policies, agent control, risk and compliance. The person who prevents 'agent sprawl'.
AI Solutions Architect
The AI Solutions Architect designs the architecture of AI solutions: how models, data, agents and integrations fit with existing systems. They translate the business problem into a design that holds up in production.
Forward Deployed AI Engineer
The Forward Deployed AI Engineer works inside the customer: they learn the real process, build the bespoke AI solution and leave it running in production. Half engineer, half field consultant.
AI Reliability Engineer (LLMOps)
The AI Reliability Engineer (LLMOps) keeps AI systems standing: they monitor, control cost and latency, and respond when an agent fails or drifts. The SRE of the AI layer.
AI Evaluation Engineer
The AI Evaluation Engineer decides whether an AI system is good enough for production. They design the evals, measure quality objectively and block whatever misses the bar.
Chief AI Officer (CAIO)
The Chief AI Officer (CAIO) is the board-level owner of AI in the company: strategy, investment, risk and business value. They translate AI into committee decisions.