Design and deliver enterprise-grade AI solutions across LLM, ML, and knowledge engineering domains. Work with engineering teams to build scalable, secure, and cloud-native AI architectures aligned with enterprise standards.
Key Responsibilities:
- Architect solutions for LLM agents, RAG pipelines, Conversational AI, AI search, and knowledge systems.
- Design cloud-native AI platforms on Azure with serverless endpoints, GPU autoscaling, and distributed compute.
- Implement vector databases with advanced indexing and low-latency retrieval.
- Translate business vision into secure, compliant AI architectures with monitoring, RBAC, and explainability.
- Collaborate with stakeholders and communicate technical decisions clearly.
Must-Have Skills:
- AI Application Solution Design
- Cloud-Native GenAI Development
- Data Science on Azure
- Machine Learning Solution Design
- Advanced RAG Workflow
- Hands-on Python and experience with agentic GenAI systems
Arabic proficiency is a plus.