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Massachusetts, US - Remote, United States of America
Remote only
Job Description:
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 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.
This role requires senior-level judgment: deep hands-on building experience, strong customer-facing intuition, and the ability to make pragmatic tradeoffs under real-world constraints.
Core Technical Skills
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.
Frontend & Design Taste
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.
Problem Solving & Communication
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.
Advanced degree or research background in AI/ML is a plus, but not required.
Ability to travel up to 25% in average to customer meetings, workshops, industry conferences, and events.
Compensation Statement
The U.S. annual on-target earnings (OTE) range for this full-time position is between $240,000 and $280,000 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 DataRobot’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. Here’s what 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!
DataRobot Operating Principles:
All DataRobot 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 DataRobot employees must be available to attend in-person company trainings and meetings.
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.
DataRobot 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. DataRobot 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.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
