AI Ops Engineer

About the role

Dicetek LLC is looking for an AI Ops Engineer to build the operational backbone for enterprise AI platforms. You will enable application teams to release AI products safely, repeatedly, and at scale.

Key responsibilities

• Design and implement standard release pipelines and promotion controls for AI applications, agents, and platform services.
• Embed LLMOps and AI lifecycle management controls to ensure auditable model releases.
• Implement progressive delivery patterns such as canary releases, controlled rollouts, and rollback readiness.
• Integrate AI quality checks, telemetry, dashboards, runbooks, and readiness criteria into the delivery lifecycle.
• Provide AI FinOps visibility and governance for model usage, token spend, capacity, and quota management.
• Create reusable templates, release standards, onboarding guidance, and operational playbooks for self‑service teams.

Required profile

• Strong production engineering background on cloud‑native, AI, or high‑scale API platforms in an enterprise environment.
• Hands‑on experience with CI/CD, GitHub Actions or equivalent automation tools.
• Working knowledge of LLMOps, telemetry, release governance, and production‑readiness practices.
• Experience with observability, change control, service reliability, and continuous operational improvement.
• Ability to collaborate with platform engineering, QA/SRE, cybersecurity, architecture, product, and delivery teams.

Required skills

• AI Release Engineering
• GitHub Actions
• Change Control
• LLMOps
• Continuous Operational Improvement
• Service Reliability
• Observability