3 months ago
Remote, United Arab EmiratesSenior
Responsibilities
- Partner with sales teams to understand customer missions, priorities, constraints, and use cases.
- Translate business needs into platform capabilities, user journeys, agent responsibilities, and value propositions.
- Design and implement end-to-end agentic AI MVPs with multi-agent orchestration, tool use, memory, MCP servers, and observability.
- Define technical requirements, recommend deployment models, and advise on security mandates and data readiness.
- Build enterprise-grade user interfaces with React and modern design systems.
- Select and integrate LLMs, frameworks, and agent architectures while balancing speed, cost, explainability, and scalability.
- Deliver live demos, workshops, pilots, and proofs of value for customer and sales audiences.
- Provide technical support and reusable assets to Account Executives, Strategic Account Directors, BDRs, and sales teams.
- Support discussions involving AI governance, data security, model transparency, and responsible AI.
- Provide structured customer and architectural feedback 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 a related field, or equivalent practical experience.
- Hands-on experience building agentic AI applications with modern LLM frameworks, orchestration patterns, backend engineering, Python, TypeScript, and APIs.
- Experience designing MCP servers, integrating external systems, and using AI evaluation and tracing tools.
- Proficiency with React and modern frontend tooling.
- Strong technical communication, presentation, demo, problem-solving, and customer-facing skills.
- Ability to travel up to 25% on average for customer meetings, workshops, conferences, and events.
- Advanced degree in AI/ML is a plus.
- Prior experience applying AI or complex software solutions in the Oil & Gas industry is a strong plus.
Benefits
- Medical, dental, and vision insurance may be provided depending on location and local legal requirements.
- Flexible Time Off Program and paid holidays.
- Paid parental leave.
- Global Employee Assistance Program (EAP).
- The role may require up to 25% travel to customer meetings, workshops, industry conferences, and events.
- DataRobot is an Equal Employment Opportunity and Affirmative Action employer and provides reasonable accommodations.
Tech Stack
Categories
Solutions Engineering
About DataRobot
DataRobot builds an end-to-end enterprise AI platform for data science and engineering teams to develop, deploy, and govern predictive and generative AI. It offers SaaS and self-managed deployments with MLOps, governance, and professional services to integrate AI into core workflows. Founded in 2012 and headquartered in Boston, the privately held company raised a Series E+ round in 2021 and serves enterprises across regulated industries worldwide.