About The Role: The Principal AI Engineer is a senior technical leader within the Cloud Engineering organization, responsible for shaping and standardizing the company’s approach to agentic AI systems and MLOps excellence. This role serves as a bridge between AI innovation and platform engineering, ensuring all AI workloads (LLMs, agents, and ML models) adhere to unified, production-grade, and compliant standards for scalability, performance, and observability.
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About the Company: Mozn is a rapidly growing technology firm headquartered in Riyadh, Saudi Arabia, focused on revolutionizing the field of Artificial Intelligence and Data Science. The company is committed to realizing Vision 2030 and has a proven track record of supporting and advancing the tech ecosystem in Saudi Arabia and the GCC region. Mozn partners with some of the largest government organizations, corporations, and startups to deliver AI-powered products and solutions.
Key Responsibilities:
- Establish and maintain AI and agentic architecture blueprints within Cloud Engineering.
- Standardize AI deployment practices using containerized and serverless inference patterns.
- Lead the adoption of model lifecycle management across environments (Dev → Stage → Prod).
- Partner with FinOps and Cloud Security to optimize cost, compliance, and control across AI workloads.
- Own the MLOps reference stack, defining CI/CD for AI models including versioning, artifact tracking, and retraining workflows.
- Build reusable SDKs, APIs, and templates for AI pipeline integration with Cloud Engineering systems.
- Drive model observability and monitoring for drift, latency, and data integrity.
- Lead the design and enablement of agentic AI systems.
- Create reference implementations and governance frameworks for AI workflows.
- Collaborate with product and data teams to transition prototypes into secure, production-grade environments.
- Mentor AI and ML engineers on scalable design patterns and operational excellence.
Qualifications:
- 10+ years in software, ML, or AI engineering; 5+ years leading AI or ML systems in production.
- Expert in Python, with proficiency in PyTorch/TensorFlow and MLOps frameworks.
- Proven experience with LLM and agentic architectures.
- Familiarity with cloud-native AI stacks (e.g., Vertex AI, SageMaker, Azure AI).
- Strong understanding of distributed systems, data pipelines, and cloud orchestration.
Preferred Skills:
- Hands-on experience with vector databases and RAG pipelines.
- Knowledge of AI cost optimization and inference scaling.
- Graduate degree (MSc/PhD) in Computer Science, Machine Learning, or a related discipline.
Key Traits:
- Platform-first thinking with a focus on scalability and security.
- Ability to influence cross-domain initiatives for unified AI delivery.
- Passion for automation, repeatability, and cost-efficient AI operations.
Benefits:
- Competitive compensation and top-tier health insurance.
- A culture that values responsibility, trust, and empowering individuals.
- A dynamic workplace alongside some of the leading experts in AI.
Location: Riyadh, Saudi Arabia (On-site)
Work Conditions: Full-time
