Engineering Lead AI Engineer Remote Dubai

DataRobot, Inc.; Dubai; Remote; AED 450,000 - 750,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

Flexible Time Off Program

Paid Holidays

Paid Parental Leave

Global Employee Assistance Program

Job summary

DataRobot is seeking a Lead AI Engineer within Professional Services to drive the technical vision and successful delivery of complex AI programs for top-tier customers. You will lead AI Engineers, define architectural best practices for Agentic AI deployments, and ensure solutions translate into measurable business value.

Responsibilities include executive engagement, governance, architecture standards, thought leadership, revenue attainment, and regional travel up to 50% across GCC.

Qualifications

• Approximately 8–10 years of progressive hands-on experience in software development, Agentic AI frameworks, or a similar technical role.
• CS Degree; MS or PhD preferred in Computer Science, AI, Engineering, or related field.
• Expert-level cloud experience on AWS, Azure, or GCP with on-premise deployment and enterprise security.
• Expert familiarity with the DataRobot AI Platform is a strong plus.

Responsibilities

• Executive & Strategic Engagement: advise C-levels on AI strategy, roadmap, and governance.
• Program Ownership & Governance: own technical success of Professional Services portfolio, set standards, oversee deployment of AI apps.
• Technical Architecture & Standards: define blueprint and MLOps practices for scalable, secure AI solutions.
• Thought Leadership: represent DataRobot in industry events and publish technical content.
• Revenue & Utilization: drive project execution and customer satisfaction to meet regional targets.
• Travel: up to 50% travel within the GCC region.
• Language: Arabic preferred but not required.

Skills

Full-stack development

Enterprise architecture

Agentic AI frameworks

MLOps

Docker & Kubernetes

REST APIs

Executive communication

Client-facing leadership

Education

MS or PhD

CS Degree

Tools

DataRobot Platform

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 Lead AI Engineer 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 be part of 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&A 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.

• 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, and large-scale predictive modeling systems.

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

• Deep proficiency in containerization (Docker/Kubernetes), and building secure, production-grade REST APIs.

Leadership & Consulting

• 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 Software development, Agentic AI frameworks, or a similar technical role.

• 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.

• DataRobot Experience: Expert familiarity with the DataRobot AI Platform is a strong plus.

Here’s what your benefits package may include depending on your location and local legal requirements:

• Medical, Dental & Vision Insurance
• Flexible Time Off Program
• Paid Holidays
• Paid Parental Leave
• Global Employee Assistance Program (EAP)
• and more!

DataRobot Operating Principles:

• Wow Our Customers
• Set High Standards
• Be Better Than Yesterday
• Be Rigorous
• Assume Positive Intent
• Have the Tough Conversations
• Be Better Together
• Debate, Decide, Commit
• Deliver Results
• Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.

DataRobot is proud to be an Equal Employment Opportunity and Aff…

Use of Artificial Intelligence in Our Hiring Process

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