Lead Pre-Sales Applied AI Expert
About The Position
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. The Lead Pre-Sales AI Solutions Engineer plays a pivotal role in helping enterprise customers see, feel, and recognize the value of agentic AI, fast. This role sits at the intersection of business understanding, AI application design, and polished product execution. The primary mission is to rapidly design and build enterprise-grade MVP (Minimum Viable Product) agentic AI applications, often within days—that clearly demonstrate how AI agents can transform real business processes. You will partner closely with prospective customers, subject matter experts, and pre-sales team members to turn ambiguous business problems into compelling, production‑inspired prototypes. These MVPs are not throwaway demos; they are credible, extensible foundations that showcase technical depth, strong UX/UI taste, and modern AI architecture, while remaining pragmatic and fast to deliver.
Requirements
- Strong hands-on experience building agentic AI applications using modern LLM frameworks and orchestration patterns.
- Solid backend engineering skills (e.g., Python, Agent Skills, MCP, OpenAI Agents SDK, Claude Code, Cursor).
- Experience designing and running Agent Skills, MCP servers, tool APIs, and external system integrations.
- Familiarity with agent tracing, observability, logging, and evaluation techniques for AI applications.
- Proficiency with React and modern frontend tooling.
- Experience using shadcn/ui or similar design systems to create clean, enterprise-ready UIs.
- Strong UX instincts—able to simplify complex workflows and present AI behavior transparently and confidently.
- Exceptional ability to move from ambiguity to clarity quickly.
- Strong verbal and written communication skills; comfortable leading technical conversations with non‑technical stakeholders.
- Ability to explain complex AI concepts in a grounded, value‑driven, and honest way.
- 8+ years of experience in software engineering, applied AI, hands-on technical consulting, or technical product roles.
- Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent practical experience.
- Ability to travel up to 25% in average to customer meetings, workshops, industry conferences, and events.
Nice To Haves
- Advanced degree or research background in AI/ML is a plus, but not required.
Benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
