Requirements
The role requires approximately 8-10 years of progressive hands-on experience in software development, agentic AI frameworks, or a similar technical role. A CS degree, MS or Ph.D. in computer science, artificial intelligence, engineering, or a related quantitative field is preferred. Expert-level, hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and on-premise deployment experience is also required.
Description
Job description / Role
Job Type
Full Time
Job Location
Dubai, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
IT - Software & Web Development
Company Industry
Recruitment & HR
Lead AI Engineer - Professional Services
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&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.
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.
About the Company
AIQU connects future-ready technology specialists with forward-looking organisations. We help businesses deliver high-impact and high-quality technology projects by using our unrivalled global sourcing capabilities to attract diverse talent within the region.
Our bespoke staffing solution offers the most flexible option you can have while maintaining 100% legislative compliance. AIQU’s fast and highly responsive employee management processes are designed to provide your most valuable assets, your people, with a seamless experience!
From business analysts to change managers; from front-end developers to back-end engineers, full-stack developers, and database administrators; from process analysts to software architects; AIQU can provide and manage specialists for a technology transformation project or for a project in maintenance phase across six key verticals.
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