Senior AI Solutions Engineer - UAE
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Key skills for this role
About the Role
DataRobot is looking for a Senior AI Solutions Engineer to join their pre-sales team in Dubai. The role involves designing and building enterprise-grade agentic AI MVPs for prospective customers, translating business problems into compelling prototypes.
Key Skills for This Role
Responsibilities
- Partner with Sales Teams to understand customer missions and translate business needs into platform capabilities
- Design and implement end to end agentic AI MVPs, including multi agent orchestration, tool use, memory, MCP servers, and agent observability
- Build intuitive, enterprise grade UIs using React and modern design systems
- Deliver engaging live demos that tell a clear story: problem > agentic solution > business impact
- Support conversations around AI governance, data security, model transparency, and responsible AI practices
- Provide structured feedback on customer needs, procurement hurdles, and architectural gaps to Product, Marketing, and Enablement teams
Requirements
- 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 related field (or equivalent practical experience)
- Hands on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, TypeScript, APIs)
- Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools
- Proficiency with React and modern frontend tooling
- Excellent communication and demo skills; ability to present complex AI concepts clearly
- Ability to travel up to 25% on average
Full Job Posting
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.
- The Pre Sales Senior AI Solutions Engineer plays a pivotal role in helping enterprise customers see, feel, and believe in the value of agentic AI and ML platforms.
Key Responsibilities
- Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions
- Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas
- Identify Value: Pinpoint high leverage automation and decision points where agentic AI can create immediate, visible value
- Rapid MVP Build: Design and implement end to end agentic AI MVPs, including multi agent orchestration, tool use, memory, MCP servers, and agent observability
- Deployment Readiness: Define key technical requirements, recommend deployment models meeting specific security mandates
- Frontend & UX: Build intuitive, enterprise grade UIs using React and modern design systems
- Architectural Soundness: Select and integrate appropriate LLMs, frameworks, and agent architecture
- Outcome Oriented Demos: Deliver engaging live demos that tell a clear story
- Trusted Advisor: Act as a technical pillar across the sales team
- Iterative Refinement: Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value
- Security & Governance: Support conversations around AI governance, data security, model transparency, and responsible AI practices
- Internal Feedback Loop: Provide structured feedback on customer needs, procurement hurdles, and architectural gaps
Knowledge, Skills, and Abilities
- Demonstrated success supporting sales pursuits with deep technical expertise and solution design
- Strong ability to translate agentic AI and ML platform capabilities into compelling value propositions
- Hands on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, TypeScript, APIs)
- Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools
- Proficiency with React and modern frontend tooling
- Excellent communication and demo skills
- Exceptional ability to move from ambiguity to clarity quickly
- Bias toward action and iteration
Education & 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)
- Prior experience applying AI or complex software solutions within the Oil & Gas industry is a strong plus
- Ability to travel up to 25% on average
Benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP) and more
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