AI Ops Engineer | Halian | Abu Dhabi, UAE

Tech Junction Ltd; Abu Dhabi; On-site; AED 320,000 - 520,000; Full time

Benefits offered by this job

Relocation support

Medical insurance

Job summary

Halian is seeking an experienced AI Ops Engineer for an onsite role in Abu Dhabi, UAE, supporting a large-scale AI and digital transformation for a leading banking client.

The role requires 6+ years in AI operations, deep expertise in LLMOps, CI/CD automation, and strong production observability. Immediate to 30 days availability preferred, with relocation support and medical insurance offered.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, IT, Software Engineering, or related field.
• 6+ years of professional software engineering and DevOps/Platform operations with focus on AI operations.
• Proven expertise in AI Ops, LLMOps, and enterprise AI platform operations.

Responsibilities

• Lead end-to-end operations, deployment governance, and lifecycle management for AI platforms, LLMOps, and MLOps systems.
• Design, implement, and maintain robust CI/CD pipelines, GitHub Actions workflows, release automation, and deployment gates.
• Configure and manage monitoring, observability, telemetry streams, and production dashboards.

Skills

AI Ops

LLMOps

MLOps

CI/CD

GitHub Actions

Monitoring

Observability

Cloud-native

API management

SRE

FinOps

Model governance

Security & Compliance

Onsite Abu Dhabi

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or related field

Tools

Terraform

Kubernetes

GitHub Actions

Job description

Position Summary:

Halian is seeking an experienced, highly technical, and accomplished AI Ops Engineer with 6+ years of professional engineering experience to join our client team on a full-time, onsite basis in Abu Dhabi, UAE, supporting a large-scale AI and digital transformation program for a leading banking client. In this specialized artificial intelligence operations and MLOps role, you will spearhead managing enterprise AI platforms, LLMOps pipelines, continuous integration and deployment governance, and production observability. You will work closely with data scientists, machine learning engineers, cloud architects, and banking stakeholders to ensure robust, secure, and reliable AI services. Ideal candidates bring a robust academic background in computer science or engineering, deep practical mastery of LLMOps, CI/CD automation, and immediate availability (immediate to 30 days preferred).

Detailed Job Description:

As an AI Ops Engineer at Halian in Abu Dhabi, UAE, you will take full ownership of operating, maintaining, and scaling enterprise AI platforms and large language model operations (LLMOps) infrastructure within a premier banking environment. Your day-to-day responsibilities encompass managing CI/CD pipelines, GitHub Actions, release automation, and deployment governance for AI models, configuring comprehensive production monitoring, observability, telemetry dashboards, and incident support. You will collaborate with cloud-native platform teams to manage API management, reliability engineering, operational readiness, AI FinOps, cost optimization, model governance, and change management controls. Working in a high-impact onsite banking environment featuring tax-free salary benefits, relocation support, and medical insurance, you will drive next-generation artificial intelligence initiatives.

Key Responsibilities:

• Lead end-to-end operations, deployment governance, and lifecycle management for enterprise AI platforms, LLMOps, and MLOps systems.
• Design, implement, and maintain robust CI/CD pipelines, GitHub Actions workflows, release automation, and deployment gates.
• Configure and manage comprehensive monitoring, observability, telemetry streams, and production support dashboards.
• Support cloud-native platforms, API management, reliability engineering (SRE), and operational readiness frameworks.
• Drive AI FinOps initiatives, cloud cost optimization, model governance, change management, and release controls.
• Collaborate closely with data scientists, machine learning engineers, software developers, and banking IT stakeholders in Abu Dhabi.
• Troubleshoot complex production incidents, model inference bottlenecks, and pipeline failures with rapid root-cause analysis.
• Ensure strict adherence to enterprise security baselines, data privacy standards, and financial regulatory compliance.
• Maintain comprehensive technical documentation, operational runbooks, and deployment architecture diagrams.
• Participate in continuous improvement initiatives and technology roadmap planning for enterprise artificial intelligence.

Required Qualifications & Skills:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or a related field.
• Minimum 6+ years of professional software engineering and DevOps/Platform operations experience, with specific focus on AI operations.
• Deep specialized expertise in AI Ops, LLMOps, MLOps, and enterprise AI platform operations.
• Proven practical experience with CI/CD pipelines, GitHub Actions, release automation, and deployment governance.
• Strong expertise in production monitoring, observability tools, telemetry collection, and dashboarding.
• Solid working knowledge of cloud-native platforms, API management, reliability engineering, and operational readiness.
• Familiarity with AI FinOps, cost optimization strategies, and model governance frameworks.
• Exceptional analytical, problem-solving, troubleshooting, and cross-functional communication capabilities.
• Professional availability for onsite employment in Abu Dhabi, UAE (Immediate to 30 days notice period preferred).

Nice-to-Have Skills:

• Professional certifications in cloud platforms (AWS, Azure, GCP) or DevOps/Kubernetes engineering (CKA).
• Prior working experience in tier-1 banking, financial services, or large-scale digital transformation programs in the GCC region.
• Hands-on experience with vector databases, LLM serving frameworks (vLLM, Triton), and model quantization techniques.
• Advanced Python scripting and infrastructure-as-code (Terraform) capabilities.
• Direct experience implementing automated model drift detection and AI model validation pipelines.

Application Information:

• Recruiter: Halian Middle East Recruitment Team
• Contact Name: Riyas Moideen (Talent Acquisition Consultant @ Halian) [cite: [e-mail]]
• Email: [e-mail] [cite: [e-mail]]
• Phone: Unspecified
• Application URL: Unspecified
• Salary/Rate: Competitive tax-free salary plus comprehensive benefits package
• Deadline: Open until filled
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time (Onsite in Abu Dhabi, UAE)

Recruitment Pro Tip:

When applying for AI Ops and LLMOps engineering roles in banking, ensure your resume explicitly highlights your hands-on MLOps pipeline automation, model governance experience, and production observability expertise.