AI Ops Engineer (m/f/d)

Halian | Managed Services, Recruitment and Contract Staffing Agency; Abu Dhabi; On-site; AED 220,000 - 380,000; Full time

Job summary

Halian | Managed Services, Recruitment and Contract Staffing Agency seeks an AI Ops Engineer to establish the operational backbone for enterprise AI platforms in Abu Dhabi. You will enable teams to release AI products safely, repeatedly, and at scale, focusing on production release discipline, LLMOps practices, and automated deployment across environments.

You will partner with platform engineering, QA/SRE, cybersecurity, and product teams to standardize safe and scalable AI operations,

Qualifications

• Strong production engineering background across cloud-native, AI, or high-scale API platforms.
• Hands-on experience with CI/CD, GitHub Actions or equivalent automation, and environment management.
• 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.

Responsibilities

• AI Release Engineering & CI/CD: design standard release pipelines and controls for AI apps and services across environments.
• LLMOps & AI lifecycle management: implement operating controls for models and AI assets.
• Progressive Delivery: enable safe deployment patterns including canary releases and rollbacks.
• Observability & Production Readiness: embed telemetry, dashboards, and runbooks into delivery lifecycle.
• AI FinOps & capacity governance: provide visibility for model usage and token spend.

Skills

CI/CD

LLMOps

Observability

Release governance

Collaboration

Tools

GitHub Actions

Job description

Role Purpose

We are seeking an AI Ops Engineer to establish the operational backbone for enterprise AI platforms, enabling application teams to release AI products safely, repeatedly, and at scale. The role is accountable for production release discipline, LLMOps practices, deployment automation, operational governance, cost visibility, and self-service operating standards for AI-native delivery teams.

Key Responsibilities

• AI Release Engineering & CI/CD: build and design standard release pipelines and promotion controls for AI applications, agents, platform services, and configuration changes across environments, ensuring repeatable deployment, governance, and release evidence.
• LLMOps & AI Lifecycle Management: embed operating controls for models, AI assetsand release for auditable.
• Progressive Delivery: Implement deployment patterns to reduce production risk, including controlled rollout, canary release, and rollback readiness
• Evaluation, Observability & Production Readiness: Embed AI quality checks, operational telemetry, dashboards, runbooks, and readiness criteria into the delivery lifecycle so AI services are measurable and supportable.
• AI FinOps & Capacity Governance: Provide visibility and controls for AI workload consumption, including model usage, token spend, platform capacity, quota management, and optimization opportunities.
• Self-Service & Continuous Improvement: Convert proven operating patterns into reusable templates, release standards, onboarding guidance, operational playbooks, and paved-road workflows that allow teams to move quickly while maintaining enterprise control.

Required Experience

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

AI Ops Engineer in Abu Dhabi, United Arab Emirates