USD per year
Director, AI Engineering - International
DataRobot R&D is a hard-working, fast-moving, fun-loving team of developers who put products before pride. Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. 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 Agentic AI deployments, and ensure that all solutions translate into exceptional, measurable business value. This role requires a balance of deep technical expertise, a proven background in Software engineering practices and architectures 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 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 (Retrieval-Augmented Generation), large-scale predictive modeling systems.
- Expertise in setting MLOps strategy for model CI/CD (Continuous Integration/Continuous Deployment), governance,and enterprise-level scaling.
- Deep proficiency in containerization (Docker/Kubernetes), building secure production-grade REST APIs.
Leadership & Consulting:
- Extensive experience (minimum 3+ years) managing/scaling technical teams including hiring/performance management/career development.
- Exceptional executive-level verbal/written communication skills with ability to lead discussions/present complex roadmaps/influence decision-makers across business/technology domains.
- Demonstrable track record in highly visible client-facing or consulting leadership role.
Requisite Education & Experience / Minimum Qualifications:
- Experience: Approximately 8-10 years progressive hands-on experience in Software development/Agentic AI frameworks or similar; minimum 3 years management/director-level leadership position.
- Education: CS Degree MS or Ph.D. preferred in Computer Science/Artificial Intelligence Engineering or related quantitative field.
- Cloud Experience: Expert-level hands-on experience with at least one major cloud platform (AWS/Azure/GCP) plus on-premise deployment focusing on enterprise architecture/security.
- DataRobot Experience: Expert familiarity with DataRobot AI Platform is strong plus.
Benefits
Medical/Dental/Vision Insurance; Flexible Time Off; Paid Holidays; Paid Parental Leave; Global Employee Assistance Program (EAP); other benefits depending on location/local legal requirements.
DataRobot Operating Principles:
- Wow Our Customers
- Set High Standards
- Be Better Than Yesterday
- Be Rigorous
- Assume Positive Intent
- Have Tough Conversations
- Be Better Together
- Debate Decide Commit
- Deliver Results
- Overcommunicate
Equal Employment Opportunity Statement:
DataRobot encourages all candidates from diverse backgrounds to apply even if they do not meet every qualification. The company is an Equal Employment Opportunity employer committed to providing reasonable accommodations.
Location:
Remote Dubai
DataRobot offers an agent workforce platform built for outcomes, enabling enterprises to unify complex environments with foundational, business, and purpose-built agents. Their platform supports building, operating, and governing AI agents at scale across various industries and departments. They provide integrations with SAP and NVIDIA and focus on delivering secure, scalable, production-grade AI agents that replace multiple AI tools and launch quickly. DataRobot is recognized by industry leaders such as Gartner, IDC, Forbes, and Fortune for AI innovation and governance.
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