AI Ops Engineer | Dicetek | Abu Dhabi, UAE

Dicetek; Abu Dhabi; On-site; AED 240,000 - 360,000; Full time

Job summary

Dicetek in Abu Dhabi, UAE, seeks an experienced AI Ops Engineer to own reliability, scalability, security, and performance of enterprise AI and LLM platforms. You will manage CI/CD pipelines, GitHub Actions, and release governance for progressive delivery.

Collaborating with software engineers, data scientists, and IT infrastructure teams, you will drive AI FinOps, observability, and runbooks, plus self-service workflows to empower engineering teams.

Qualifications

• Bachelor’s degree in Computer Science, IT, Software Engineering, or related field.
• 4+ years in cloud-native AI or high-scale API platforms.
• Hands-on CI/CD automation and GitHub Actions experience.
• Knowledge of LLMOps and AI model lifecycle governance.
• Experience with progressive delivery, canary deployments, and zero-downtime rollouts.
• Strong observability and production-readiness skills.
• Familiarity with AI FinOps and cost optimization.
• Excellent analytical and cross-functional communication skills.
• Ability to work in the UAE with up to 45 days notice.

Responsibilities

• Operate and scale cloud-native, AI-driven API platforms in enterprise banking.
• Manage CI/CD pipelines and automated workflows with GitHub Actions.
• Administer LLMOps frameworks and production release governance.
• Design progressive delivery strategies including canary releases.
• Implement observability telemetry, dashboards, alerts, and runbooks.
• Drive AI FinOps, monitor token usage and optimize cloud costs.
• Create reusable release policies and self-service workflows.
• Collaborate with software engineers, data scientists, and infra teams.
• Troubleshoot production incidents and perform RCA.
• Maintain technical documentation and audit logs.

Skills

CI/CD automation

GitHub Actions

LLMOps

AI model lifecycle

Progressive delivery

Observability

AI FinOps

Cross-functional

Incident troubleshooting

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes

Terraform

Prometheus

Grafana

Datadog

Job description

Position Summary

Dicetek is seeking an experienced, highly technical, and accomplished AI Ops Engineer to join our client banking project team on a full-time basis in Abu Dhabi, UAE. In this specialized artificial intelligence operations and production engineering role, you will spearhead operating cloud-native, AI-driven, and high-scale API platforms across enterprise banking systems. You will work closely with cross-functional software engineers, data science squads, and IT infrastructure teams to manage CI/CD automation, LLMOps pipelines, observability telemetry, and AI FinOps cost optimization. Ideal candidates bring a strong academic background in computer science or engineering, deep practical mastery of cloud-native AI operations, and immediate availability for employment in the UAE with a maximum 45-day notice period.

Detailed Job Description

As an AI Ops Engineer at Dicetek in Abu Dhabi, UAE, you will take full ownership of ensuring the reliability, scalability, security, and performance of mission-critical enterprise AI and LLM platforms. Your day-to-day responsibilities encompass managing GitHub Actions and CI/CD pipelines, enforcing release governance and LLMOps lifecycle management, executing progressive delivery (canary releases, rollbacks), and maintaining comprehensive observability telemetry and operational runbooks. You will drive AI FinOps initiatives by monitoring token and model usage, managing platform capacity and quotas, and optimizing cloud infrastructure costs. Working in a fast-paced banking environment with urgent multiple openings requiring UAE residency, you will establish reusable release standards, operational playbooks, and self-service workflows to empower engineering teams.

Key Responsibilities

• Operate, scale, and maintain cloud-native, AI-driven, and high-scale API platforms in enterprise banking environments.
• Manage and enhance robust CI/CD pipelines, automated workflows, and environment management via GitHub Actions or equivalent tools.
• Administer LLMOps frameworks, AI lifecycle management, version control, and production release governance.
• Design and execute progressive delivery strategies, controlled rollouts, canary releases, and automated rollback readiness.
• Implement comprehensive observability telemetry, monitoring dashboards, alert systems, and production-readiness practices.
• Drive AI FinOps initiatives, monitoring token and model usage, platform capacity, quota allocation, and cost optimization.
• Establish and standardize reusable release policies, operational playbooks, and self-service workflows across engineering teams.
• Collaborate closely with software development squads, data scientists, and infrastructure engineers in Abu Dhabi.
• Troubleshoot complex production incidents, perform root-cause analysis (RCA), and implement preventive engineering measures.
• Maintain comprehensive technical documentation, incident runbooks, architecture topologies, and audit logs.

Required Qualifications & Skills

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related technical field.
• Minimum 4+ years of professional engineering experience with cloud-native, artificial intelligence, or high-scale API platforms.
• Hands-on professional experience with CI/CD automation pipelines and GitHub Actions or equivalent tools.
• Practical working knowledge of LLMOps, AI model lifecycle management, and enterprise software release governance.
• Proven experience implementing progressive delivery techniques, canary deployments, and zero-downtime rollouts.
• Strong expertise in observability, telemetry, monitoring tools, log aggregation, and production-readiness practices.
• Solid exposure to AI FinOps, token and model usage tracking, resource capacity planning, and cost optimization.
• Exceptional analytical, problem-solving, operational governance, and cross-functional communication skills.
• Professional availability for full-time employment in the UAE (Candidates must currently be in the UAE; Max 45 days notice period).

Nice-to-Have Skills

• Professional certifications such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Azure DevOps Engineer Expert.
• Hands-on experience with vector databases, LLM serving engines (vLLM, TGI), and container orchestration platforms.
• Familiarity with infrastructure-as-code (Terraform, Ansible) and cloud monitoring stacks (Prometheus, Grafana, Datadog).
• Prior working experience in tier-1 banking, financial services, or large-scale fintech enterprise environments.
• Contributions to open-source DevOps or MLOps tooling and active technical portfolios.

Recruitment Pro Tip

When applying for AI Ops and LLMOps roles in the UAE banking sector, ensure your resume explicitly highlights your production experience with GitHub Actions, LLM model lifecycle governance, AI FinOps cost optimization, and progressive delivery strategies.