About the job

We are seeking an experienced Lead AI Engineer to lead the development and deployment of scalable AI and Generative AI solutions while managing a growing AI Engineering team.

This role combines technical leadership, people management, and hands-on engineering. The successful candidate will be responsible for driving AI initiatives from concept and prototyping through to production deployment.

Key Responsibilities

• Lead, mentor, and develop a team of AI and Engineering professionals.
• Drive end-to-end delivery of AI and Generative AI solutions.
• Design and deploy LLM, RAG, AI Agent, and multimodal AI applications.
• Establish best practices across MLOps, CI/CD, testing, deployment, and monitoring.
• Conduct technical reviews and ensure high standards of software engineering and architecture.
• Collaborate with Product, Engineering, and business stakeholders to deliver impactful AI solutions.
• Champion responsible AI, security, privacy, and governance standards.

Requirements

• 8-10+ years of experience in AI/ML Engineering or Software Engineering.
• Strong people management and team leadership experience.
• Strong foundation in Machine Learning and Natural Language Processing developed before the GenAI era.
• Experience building and deploying production-scale AI applications.
• Advanced Python development skills.
• Strong understanding of MLOps, CI/CD, cloud deployment, and software engineering best practices.
• Hands-on experience with Generative AI technologies including LLMs, RAG, AI Agents, and evaluation frameworks.
• Experience delivering scalable AI products in production environments.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Azure OpenAI
• Azure AI Search
• Azure Machine Learning
• Azure AI Foundry
• Docker, Kubernetes, GitHub Actions
• Experience within EdTech or digital product environments
• Arabic language skills

Ideal Candidate

• We're particularly interested in candidates who possess deep AI/ML expertise predating the recent GenAI boom, combined with hands-on experience delivering modern LLM and Generative AI solutions at scale. Candidates should be comfortable leading teams while remaining technically involved in architecture, design, and implementation.