Principal AI Engineer

About Mozn

Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia. It is working to realize Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.

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 bridges AI innovation and platform engineering — ensuring that all AI workloads (LLMs, agents, and ML models) follow unified, production‑grade, and compliant standards for scalability, performance, and observability.

You will define the blueprints, frameworks, and reference architectures for AI workloads across all product lines, partnering closely with AI researchers, data scientists, and platform engineers to enable secure, efficient, and repeatable AI delivery.

• Establish and maintain AI and agentic architecture blueprints (RAG, orchestration, fine‑tuning, prompt pipelines, etc.) 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 Fin Ops and Cloud Security to optimize cost, compliance, and control across AI workloads
• Own the MLOps reference stack (e.g., MLflow, Kubeflow, Ray, Vertex AI, or custom platform)
• Define 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 standards for drift, latency, and data integrity
• Lead the design and enablement of agentic AI systems (LLM‑driven orchestrators, tool‑using agents, multi‑agent frameworks)
• Create reference implementations and governance frameworks for RAG, memory, and action‑based AI workflows
• Collaborate with product and data teams to move prototypes into secure, production‑grade environments
• Embed AI security, data protection, and PDPL/GDPR compliance into the MLOps lifecycle
• Define model validation and explainability standards, ensuring auditability and traceability
• Work with Cloud Security and Data teams on responsible AI controls and AIOps monitoring
• Mentor AI and ML engineers on scalable design patterns and operational excellence
• Contribute to internal AI guilds, tech councils, and engineering playbooks
• Represent Cloud Engineering in AI ecosystem evaluations and cross‑functional initiatives

• 10+ years in software, ML, or AI engineering; 5+ years leading AI or ML systems in production
• Expert in Python, PyTorch/Tensor Flow, and MLOps frameworks (Kubeflow, MLflow, Airflow, etc.)
• Proven experience with LLM and agentic architectures, including Lang Chain, vLLM, Ray, or similar
• Experience with cloud‑native AI stacks (Vertex AI, Sage Maker, Azure AI, OCI Data Science)
• Strong understanding of distributed systems, data pipelines, and cloud orchestration (Kubernetes, GKE, EKS, AKS)
• Track record of defining AI infrastructure standards in large or multi‑tenant SaaS environments

• Hands‑on with vector databases (Pinecone, FAISS, Weaviate) and RAG pipelines
• Familiarity with AI cost optimization, GPU utilization metrics, and inference scaling
• Knowledge of AI safety, fairness, and bias mitigation frameworks
• Graduate degree (MSc/PhD) in Computer Science, Machine Learning, or a related discipline

• Thinks platform‑first, ensuring every AI innovation can scale reliably and securely
• Balances deep AI knowledge with engineering pragmatism and Dev Ops fluency
• Influences across domains — from MLOps to Cloud to Security — to enable unified AI delivery
• Obsessed with automation, repeatability, and cost‑efficient AI operations

• Be at the forefront of an exciting time for the Middle East, joining a high‑growth rocket‑ship in an exciting space
• Be given a lot of responsibility and trust; freedom to make decisions that deliver results
• Competitive compensation, top‑tier health insurance, and an enabling culture so you can focus on your work
• Enjoy a fun and dynamic workplace alongside some of the greatest minds in AI
• Embrace diversity and empower each other to be the best version of ourselves

Seniority level:
Mid‑Senior level |

Employment type:

Full‑time | Job function:
Engineering and Information Technology | Industries:
Software Development