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 VP AI Engineering plays a critical leadership role in shaping and executing our AI strategy. This leader will guide a global team of AI engineers and architects in designing, building, and deploying cutting-edge AI solutions—ranging from predictive models to advanced Generative AI systems and agentic architectures—that deliver measurable business value for our most strategic customers.

As a trusted thought partner to senior executives, the VP will bridge business strategy and technical execution, ensuring that every AI initiative drives tangible outcomes. This role requires a visionary who thrives at the intersection of innovation, leadership, and customer impact—someone who can scale teams, accelerate delivery, and champion the responsible and strategic adoption of AI across the enterprise.

Key Responsibilities:

Strategic Leadership & Vision

• Define and execute the vision for AI engineering in alignment with organizational strategy and customer needs.

• Drive the roadmap for AI innovation—spanning predictive, generative, and agentic AI capabilities—to position the organization as a leader in applied AI.

• Partner cross-functionally with Product, Professional Services, and Go-to-Market leaders to translate AI potential into scalable, high-impact solutions.

Team & Capability Development

• Build, mentor, and scale a world-class team of AI engineers and applied scientists, fostering a culture of innovation, accountability, and continuous learning.

• Establish standards and best practices for AI development, deployment, and operational excellence (MLOps, governance, and model lifecycle management).

• Ensure the team’s expertise spans modern AI stacks, including LLMs, RAG systems, vector databases, and agentic frameworks such as LangGraph, CrewAI, and LlamaIndex.

Customer Impact & Delivery Excellence

• Partner with enterprise customers to identify high-value use cases, define technical architectures, and ensure successful delivery of AI solutions that drive business outcomes.

• Oversee the design, development, and deployment of scalable AI systems leveraging the DataRobot platform and open-source tools.

• Champion technical quality, security, and performance across all AI applications and integrations.

Innovation & Thought Leadership

• Serve as an executive-level advisor on emerging AI trends, technologies, and ethical frameworks.

• Represent the organization in strategic customer engagements, industry forums, and executive briefings.

• Drive internal knowledge sharing, ensuring learnings and innovations are systematically captured and scaled across teams and regions.

Knowledge, Skills and Abilities:

AI & Machine Learning Expertise

• Deep technical understanding of applied AI—including Generative AI (LLMs, RAG), agentic AI, and predictive modeling.

• Strong programming proficiency in Python and related ML/AI libraries (pandas, NumPy, scikit-learn, etc.).

• Expertise in AI solution design, architecture, and deployment on cloud platforms (AWS, Azure, GCP).

Engineering Leadership

• Proven experience leading distributed engineering or applied AI teams, balancing technical depth with people leadership.

• Demonstrated success building scalable AI solutions with secure, containerized infrastructure (Docker, Kubernetes).

• Strong command of software and systems design principles, API development, and MLOps lifecycle management.

Business Acumen & Communication

• Exceptional ability to connect technical execution with business value.

• Skilled communicator who can influence across technical and executive audiences.

• Experience engaging with customers, shaping strategy, and driving adoption of transformative technology.

Requisite Education and Experience / Minimum Qualifications:

• Experience: 10+ years of experience in AI, software engineering, or data science, including at least 3–5 years leading high-performing technical teams.

• Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Engineering, or a related field.

• Cloud Experience: Hands-on expertise with AWS, Azure, or GCP environments.

• Preferred: Experience with the DataRobot AI Platform, as well as MLOps tools and practices for continuous integration, deployment, and monitoring.

Compensation Statement

The U.S. annual on-target earnings (OTE) range for this full-time position is between $290,000 and $360,000 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:

• Wow Our Customers
• Set High Standards
• Be Better Than Yesterday
• Be Rigorous
• Assume Positive Intent
• Have the Tough Conversations
• Be Better Together
• Debate, Decide, Commit
• Deliver Results
• Overcommunicate

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.

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