Director, AI Engineering - International

DataRobot
Dubai
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 8-10 yearsEducation: mastersSkills: ["Leadership","Communication","Mentoring","Team-building","Executive-level communication"]

Senior tech leader in AI engineering within Professional Services, responsible for defining the technical vision, guiding large AI programs for top customers, building a high-performing AI engineering team, setting architectural standards for Agentic AI and GenAI/RAG systems, and ensuring solutions deliver measurable business value while maintaining executive-level communication and P&L accountability.

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FursaFursa
DataRobot
DataRobot
4 months ago

Director, AI Engineering - International

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Senior tech leader in AI engineering within Professional Services, responsible for defining the technical vision, guiding large AI programs for top customers, building a high-performing AI engineering team, setting architectural standards for Agentic AI and GenAI/RAG systems, and ensuring solutions deliver measurable business value while maintaining executive-level communication and P&L accountability.
Location: Dubai
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

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.
  • •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: High travel

Pay and Benefits

Perks:Health InsuranceDentalVisionRemote WorkPaid Leave

Key Requirements

  • •Experience: Approximately 8-10 years of progressive hands-on experience in Software development, Agentic AI frameworks, or a similar technical role, with a minimum of 3 years in a management or director-level leadership position.
  • •Education: A CS Degree MS or Ph.D. preferred 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.
  • •Leadership: Extensive experience (minimum 3+ years) managing and scaling technical teams, including hiring, performance management, and career development.
  • •DataRobot Experience: Expert familiarity with the DataRobot AI Platform is a strong plus.
Experience:8-10 yearsEnterprise softwareAIProfessional ServicesCloud computingGenerative AI
Education:Master's in Computer Science
Skills:LeadershipCommunicationMentoringTeam-buildingExecutive-level communication
Languages:ArabicEnglish
Tech Stack:DockerKubernetesREST APIsLangGraphCrewAILlama IndexRAGMLOpsDataRobotAgentic AI

Company Brief

DataRobot
Provides an enterprise AI platform that automates and accelerates the end-to-end data science lifecycle, enabling organizations to build, deploy, and manage machine learning models at scale for business decisioning and predictive analytics.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Boston, United States
Founded: 2012
WebsiteLinkedIn