Director, AI Engineering - International

DataRobot

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

Knowledge, Skills and Abilities:

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.