Director of Artificial Intelligence

Position 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.

Expertise in setting MLOps strategy for model CI/CD, governance, and enterprise-level scaling.

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.

Demonstrable track record in a highly visible client-facing or consulting leadership role.

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.