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Principal MLOps Engineer / AI Infrastructure Architect

Unlock employer Abu Dhabi, United Arab Emirates Posted: 21 Nov 2025

Financial

  • Estimate: $110k - $150k*
  • Zero income tax location

Accessibility

  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • Arabic: Professional

Position

About
The company is a leader in the development of innovative secure communication products and solutions for governments and businesses. The Principal MLOps Engineer / AI Infrastructure Architect defines and leads the design, automation, and governance of the company’s AI infrastructure powering mission-critical, secure communications products. This role drives end-to-end MLOps strategy — from model governance and deployment automation to compliance enforcement — ensuring every AI capability adheres to zero-trust and sovereign-data principles. You will operate in an AI-augmented product development environment where infrastructure provisioning, model training, deployment, and monitoring are automated or AI-assisted.

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Key Responsibilities

  • Define the MLOps architecture and governance framework across products.
  • Design secure, scalable AI platform blueprints covering data, training, serving, and monitoring layers.
  • Lead architectural designs and reviews for AI pipelines.
  • Develop and maintain AI agents for automation, such as automated test generation and log intelligence.
  • Build continuous integration pipelines for models and code.
  • Manage cloud infrastructure using Kubernetes and implement Infrastructure as Code.

Requirements

  • BS in Computer Science, Computer Engineering, Mathematics, or a related field.
  • 8+ years in DevOps, SRE, or platform engineering.
  • 5+ years hands-on experience with ML/AI systems in production.
  • Experience with container orchestration (Kubernetes).
  • Strong Linux/Unix systems knowledge.

Key Skills

  • MLOps & AI: LLM Integration, Model Serving
  • Data Engineering: Pipelines, Processing
  • DevOps & Infrastructure: Containers, Cloud Platforms
  • Programming: Proficient in Python, SQL

Success Metrics

  • Uptime: 99.9%+ availability for AI services.
  • Deployment Frequency: Daily or on-demand deployments.
  • Model Performance: Latency and accuracy tracking.
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