Principal AI Solutions Engineer

Job Description

Data Robot 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 aRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on Data Robot for AI that makes sense for their business — today and in the future.

• 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 (CIO, CTO, Chief Data Officer, program leads, technical practitioners).
• Identify Value:
  Pinpoint high-leverage automation and decision points where agentic AI can create immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities.

• Rapid MVP Build:
  Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability.
• Deployment Readiness:
  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.
• Frontend & UX:
  Build intuitive, enterprise‑grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently.
• Architectural Soundness:
  Select and integrate appropriate LLMs, frameworks, and agent architecture to balance speed, cost, and explainability while establishing scalable platform foundations.

• Outcome-Oriented Demos:
  Deliver engaging live demos that tell a clear story: problem → agentic solution → business impact. Help shape and refine use cases based on account maturity and strategic alignment.
• Trusted Advisor:
  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.
• Iterative Refinement:
  Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs).

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

• Demonstrated success supporting sales pursuits (new logos and account expansion) with deep technical expertise and solution design.
• Strong ability to translate agentic AI and ML platform capabilities into compelling value propositions.
• Prior experience turning rapid MVPs into production applications or long‑term enterprise platforms.

• Hands-on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, Type Script, APIs).
• Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools.
• Proficiency with React and modern frontend tooling to create clean, trustworthy user interfaces.

• Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, grounded, and value-driven manner to both 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.

• 12+ years of experience in…