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Director, AI Engineering - International

DataRobot
Dubai, UAE
Director
4 months ago
DirectorAI Engineering International
Free

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DirectorAI Engineering International
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Key Responsibilities

  • Executive & Strategic Engagement: Serve as the most senior technical leader on major engagements, advising C-level executives and key stakeholders on their AI strategy, architectural roadmap, and governance model.
  • Team Leadership & Development: Recruit, mentor, and manage a team of Senior and Principal AI Engineers, fostering a culture of technical excellence, accountability, and continuous learning.
  • Program Ownership & Governance: Own the technical success of the Professional Services portfolio, setting the technical standards, ensuring solution quality, and overseeing the deployment of advanced AI applications, including Agentic AI and complex GenAI/RAG systems.
  • Technical Architecture & Standards: Define the architectural blueprint and MLOps best practices for building robust, scalable, and secure AI solutions that leverage the DataRobot platform and cutting-edge open-source tools.
  • Thought Leadership: Act as a recognized subject matter expert in the AI/ML community, representing DataRobot at industry conferences, publishing technical content, and driving internal innovation.
  • Revenue and Utilization Management: Drive successful program execution, managing technical risk and ensuring high customer satisfaction, which directly contributes to achieving regional revenue targets.
  • Travel: Ability to travel up to 50% across the region to support customers across GCC
  • Language: Proficient in Arabic is preferred but not critical

Strategic Ai & Architectural Expertise

  • Expertise in full-stack development, enterprise software architecture and the implementation of modern agentic AI frameworks.
  • Deep, proven expertise in defining and implementing end-to-end AI/ML and Generative AI application architectures, including Agentic AI frameworks (LangGraph, CrewAI, Llama Index), RAG, and large-scale predictive modeling systems.
  • Expertise in setting MLOps strategy for model CI/CD, governance, and enterprise-level scaling.
  • Deep proficiency in containerization (Docker/Kubernetes), and building secure, production-grade REST APIs

Leadership & Consulting

  • Extensive experience (minimum 3+ years) managing and scaling technical teams, including hiring, performance management, and career development.
  • Exceptional executive-level verbal and written communication skills, with the ability to lead discussions, present complex technical roadmaps, and influence decision-makers across business and technology domains.
  • Demonstrable track record in a highly visible client-facing or consulting leadership role.

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