Role overview
Lead AI Engineer will lead and manage AI Engineering Team, delivering projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in the final deployment. The role combines technical leadership, people management, and applied AI Engineering, ensuring AI innovation translates into real educational impact.
Responsibilities
- Drive the end-to-end delivery of scalable AI and Generative AI features, from initial conceptualization and prototyping through fast, reliable deployment, and continuous monitoring in live learning environments.
- Prioritize scalable implementation and efficient deployment strategies on Azure, leveraging CI/CD and MLOps principles. Ensure engineering excellence through rigorous technical reviews, maintaining high code quality and architecture standards.
- Partner closely with Product and Engineering teams to align AI innovation with user needs and business goals, providing clear communication on project status, risks, and technical decisions.
- Guide the AI engineering team in building reusable tools, frameworks, and experimentation pipelines to accelerate future feature launches.
- Stay updated on the latest Gen AI trends and technologies, applying findings pragmatically.
- Promote a strong innovation culture through mentoring, workshops, and documentation.
- Ensure all AI solutions meet safety, privacy, and ethical standards before scale-up.
- Bachelor's degree in Computer Science, Software Engineering or related preferred.
- 10+ yrs AI/ML engineering or equivalent software engineering background with, 3+ yrs hands-on Gen AI (LLMs, Agents, RAG, diffusion, etc.); Ed-Tech industry experience preferred.
- AI/ML Specialty certs (AWS/GCP/Azure) or peer-reviewed publications/patents preferred.
- Familiarity with Azure AI Services and Azure AI Foundry preferred.
- Proven end-to-end scalable AI applications in production.
- MLOps & CI/CD experience.
- Fluent English presentation & writing.
- Strong Python development expertise with; cloud deployment on Azure/AWS; Usage of AI Coding Agents.
- Innovative, creative, and passionate mindset, and willing to learn.
- Proven leadership of AI projects or teams.
- Fluency in English; Arabic is preferred.
Benefits
- Annual flight allowance
- Annual performance bonus
- Education allowance
- Life insurance
- Enhanced leave policy
- A hybrid work model and up to 40 remote working days per year to work from anywhere (with flexibility built in)
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Ai Engineer