Director of Artificial Intelligence - United Arab Emirates, Dubai - AIQU

    AIQU
    AIQU United Arab Emirates, Dubai

    12 hours ago

    Description
    Job Description

    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.

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