Job Description

We are seeking a senior Agentic AI Technical Leader to lead the architecture and delivery of enterprise‑level GenAI and agent‑based solutions. This role owns Agentic AI design, delivery quality, and technical direction, supported by platform engineers, MLOps teams, and sales.

Key Responsibilities

Agentic AI Architecture & Delivery

• Lead the design and production delivery of Agentic AI and LLM‑based systems in enterprise environments.
• Design agent‑based workflows and RAG architectures for real business use cases.
• Make architectural decisions to ensure scalability, reliability, security, and performance.
  
  

Hands‑On Technical Leadership

• Stay hands‑on where it matters: core agent logic, prototypes, code reviews, and critical troubleshooting (Python).
• Guide the selection and use of LLMs (proprietary and open‑source) based on use‑case needs.
• Apply and extend agent frameworks (e.g., LangChain, LangGraph, LlamaIndex).
  
  

Team Leadership

• Lead and mentor AI, ML, and Data Science engineers, setting standards and best practices.
• Drive responsible AI practices and technical excellence across delivery teams.
  
  

Platforms & MLOps Collaboration

• Partner with platform and MLOps teams to operationalize solutions on cloud AI platforms (Azure, AWS, or GCP).
• Guide CI/CD, monitoring, evaluation, and production readiness.

Client Engagement

• Act as a technical lead and consultant in selected client discussions and solution shaping.
• Translate AI architectures into business outcomes.
  
  

Required Experience & Skills

Must‑Have

• 12+ years in software/data/AI engineering with a strong recent focus on Generative & Agentic AI.
• Proven experience delivering agent‑based or LLM‑driven systems in production.
• Strong Python expertise and modern AI engineering practices.
• Hands‑on experience with agent frameworks and RAG.
• Experience leading technical teams and owning architectural decisions.
• Excellent communication and executive‑level articulation.
• Fluent Arabic & English.
  
  

Strong Plus

• Multi‑agent system design.
• Familiarity with Model Context Protocol (MCP) concepts or similar agent‑tool integration patterns.
• Experience with cloud AI platforms (Azure AI, AWS Bedrock, Vertex AI).
• Consulting or client‑facing delivery experience.