AI Operations & Reliability Director

Jobtailor; Illinois; On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor in the United States (Illinois) seeks a senior leader to own AI operations across enterprise AI applications and intelligent automation. You will scale observability, incident response, and runtime governance while aligning with security, architecture, and business stakeholders.

The role centers on scalable processes, mentoring managers and engineers, coordinating with vendors, and driving continuous improvement in production AI reliability.

Qualifications

• 8+ years in AI operations or enterprise technology functions.
• 3+ years leading operational teams or large-scale initiatives.
• Hands‑on experience supporting production AI solutions using LLMs, APIs, orchestration frameworks.
• Strong experience with observability, incident management, DevOps, and production operations.
• Experience leading distributed teams and managing contractors/vendors.
• Proven ability to manage multiple priorities in dynamic environments.

Responsibilities

• Lead enterprise AI operational activities including runtime monitoring, incident management, and production reliability.
• Establish and improve AI operations practices, including AIOps and LLMOps processes.
• Drive runtime stability and service reliability through monitoring, escalation, and root-cause analyses.
• Ensure governance, safeguards, and secure AI operationalization standards.
• Collaborate with AI Engineering, Governance, Security, and business stakeholders to ensure readiness.
• Mentor operations managers, engineers, analysts, and contractors to build a high-performing team.

Skills

AI operations

DevOps

SRE

Observability

Incident management

LLMs

Automation

Cloud platforms

Education

Bachelor’s degree in CS/IS/Engineering

Tools

CI/CD pipelines

Monitoring tools

Observability platforms

Job description

Jobtailor in the United States (Illinois) seeks a senior leader to own AI operations across enterprise AI applications and intelligent automation. You will scale observability, incident response, and runtime governance while aligning with security, architecture, and business stakeholders.

The role centers on scalable processes, mentoring managers and engineers, coordinating with vendors, and driving continuous improvement in production AI reliability.