Senior AI Solutions Engineer - UAE

Role Overview

Senior AI Solutions Engineer – Pre-Sales at DataRobot, based in the UAE. This role sits at the intersection of business strategy, AI application design, and execution, helping enterprise customers understand and adopt agentic AI and ML platforms.

Company Overview

DataRobot delivers AI that maximizes impact and minimizes business risk. The platform and applications integrate into core business processes, enabling teams to develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI and enables leaders to secure their AI assets.

Role Purpose

Rapidly build enterprise-grade MVP agentic AI applications that demonstrate the value of AI platforms to prospective customers. Bridge the gap between immediate problem-solving and long-term platform adoption by translating loosely defined business problems into compelling, production-inspired prototypes that accelerate time-to-value.

Key Responsibilities

Business-to-Technical Translation & Problem Understanding

• Partner with Sales Teams to understand customer missions, strategic priorities, and constraints through short discovery sessions.
• Translate business needs into platform capabilities, tailoring messaging for different personas including CIO, CTO, Chief Data Officer, program leads, and technical practitioners.
• Identify high-leverage automation and decision points where agentic AI creates immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities.

Agentic AI Solution Design & Prototyping

• Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability.
• Define key technical requirements, recommend deployment models meeting specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities.
• Build intuitive, enterprise-grade UIs using React and modern design systems such as shadcn/ui to communicate agent behavior transparently.
• Select and integrate appropriate LLMs, frameworks, and agent architecture to balance speed, cost, and explainability while establishing scalable platform foundations.

Demo Execution & Sales Collaboration

• Deliver engaging live demos that tell a clear story connecting problem to agentic solution to business impact, shaping and refining use cases based on account maturity and strategic alignment.
• Act as a technical pillar across the sales team, supporting Account Executives, Strategic Account Directors, and BDRs with knowledge and assets that advance AI adoption.
• Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value.

Cross-Functional Feedback & Compliance Alignment

• Support conversations around AI governance, data security, model transparency, and responsible AI practices in alignment with regulations.
• Provide structured feedback to Product, Marketing, and Enablement teams on customer needs, procurement hurdles, and architectural gaps to keep offerings relevant.
• Contribute reusable patterns, templates, and internal best practices to accelerate future MVP delivery and platform selling.

Qualifications & Experience

• 6–8+ years of experience in sales engineering, applied AI, hands-on technical consulting, customer-facing software engineering, or technical product roles.
• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• Advanced degree in AI/ML is a plus.
• Prior experience applying AI or complex software solutions within the Oil & Gas industry is a strong plus.
• Demonstrated success supporting sales pursuits (new logos and account expansion) with deep technical expertise and solution design.
• Prior experience turning rapid MVPs into production applications or long-term enterprise platforms.

Skills & Competencies

• Hands-on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering with Python and TypeScript.
• Experience designing MCP servers, external system integrations, and utilizing AI evaluation and tracing tools.
• Proficiency with React and modern frontend tooling to create clean, trustworthy user interfaces.
• Strong ability to translate agentic AI and ML platform capabilities into compelling value propositions.
• Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, grounded, and value-driven manner to mission leaders and technical stakeholders.
• Exceptional ability to move from ambiguity to clarity quickly.
• Bias toward action and iteration; comfortable working in a fast-paced environment with evolving product offerings and shipping imperfect but compelling MVPs fast.

Additional Information

• Ability to travel up to 25% on average to customer meetings, workshops, industry conferences, and events.
• Benefits package may include Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, and Global Employee Assistance Program (EAP), depending on location and local legal requirements.
• DataRobot is an Equal Employment Opportunity and Affirmative Action employer and does not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
• DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.