[Remote] Principal AI Solutions Engineer

Note: The job is a remote job and is open to candidates in USA. DataRobot is a company that delivers AI solutions to maximize impact and minimize business risk. They are seeking a Principal AI Solutions Engineer to play a pivotal role in helping enterprise customers realize the value of AI and ML platforms by rapidly building enterprise-grade MVP applications and collaborating with sales teams to address customer needs.

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 (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

Skills

• 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, TypeScript, 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 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). An advanced degree in AI/ML is a plus
• Ability to travel up to 25% on average to customer meetings, workshops, industry conferences, and events
• Prior experience applying AI or complex software solutions within the Oil & Gas industry is a strong plus

Benefits

• Medical, Dental & Vision Insurance
• Flexible Time Off Program
• Paid Holidays
• Paid Parental Leave
• Global Employee Assistance Program (EAP)

Company Overview

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