Lead 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.

The Principal 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 — clearly demonstrating 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.

• 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.

• 10+ 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.
• Advanced degree or research background in AI/ML is a plus, but not required.
• Ability to travel up to 25% to customer meetings, workshops, industry conferences, and events.

The U.S. annual on‑target earnings (OTE) range for this full‑time position is between $275,000 and $335,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate’s work location, job‑related skills, experience, and education.

The talent and dedication of our employees are at the core of Data Robot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well‑being at the core. Your benefits package may include depending on your location and local legal requirements:
Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more.

All Data Robot hires are required to complete a background check prior to starting employment, which includes identity verification, criminal history check, employment verification and education verification. Additionally, all Data Robot employees must be available to attend in‑person company trainings and meetings.

Data Robot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Data Robot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

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