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Director of Artificial Intelligence - United Arab Emirates, Dubai - AIQU
Description
Job DescriptionPosition Title:
Director, AI Engineering - Professional Services
Location:
Dubai: UAE
As the Director of AI Engineering within our Professional Services team, you will be a strategic leader and executive advisor, responsible for driving the technical vision and successful delivery of our most complex and strategic AI programs with our top-tier customers.
You will build and scale a high-performing team of AI Engineers, establish architectural best practices for MLOps and Generative AI deployments, and ensure that all solutions translate into exceptional, measurable business value.
This role requires a balance of deep technical expertise with executive-level communication and P&L accountability for large professional service engagements.
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 the company 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 departmental revenue targets.
Knowledge, Skills and Abilities:
Strategic AI & Architectural Expertise:
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.
Deep proficiency in Python, containerization (Docker/Kubernetes), and building secure, production-grade REST APIs (e.g., Flask, FastAPI).
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.
Requisite Education and Experience / Minimum Qualifications:
Experience:
Approximately 8-10 years of progressive hands-on
experience in AI Application development, Machine Learning Engineering, or a similar technical role, with a minimum of 3 years in a management or director-level leadership position.
Education:
A Master's Degree or Ph.
D. in Computer Science, Artificial Intelligence, Engineering, or a related quantitative field.
Cloud Experience:
Expert-level, hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and on-premise deployment experience, with a focus on enterprise architecture and security.
DataRobot Experience:
Expert familiarity with the DataRobot AI Platform is a strong plus.
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