Vice President, AI Engineering - Professional Services jobs in United States
cer-icon
Apply on Employer Site
company-logo

DataRobot · 1 month ago

Vice President, AI Engineering - Professional Services

DataRobot is a leading company in AI technology that delivers impactful solutions while minimizing business risks. The Vice President of AI Engineering will lead a global team in designing and deploying innovative AI solutions, ensuring alignment with business strategies and customer needs.

AI InfrastructureEnterprise SoftwareMachine Learning
check
H1B Sponsor Likelynote

Responsibilities

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
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
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
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

Qualification

AI & Machine Learning ExpertisePythonCloud PlatformsEngineering LeadershipMLOpsAI Solution DesignBusiness AcumenCustomer EngagementTeam BuildingCommunication Skills

Required

10+ years of experience in AI, software engineering, or data science, including at least 3–5 years leading high-performing technical teams
Master's or Ph.D. in Computer Science, Artificial Intelligence, Engineering, or a related field
Hands-on expertise with AWS, Azure, or GCP environments
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)
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
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

Preferred

Experience with the DataRobot AI Platform
MLOps tools and practices for continuous integration, deployment, and monitoring

Benefits

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

Company

DataRobot

company-logo
DataRobot provides AI technology and ROI enablement services to global enterprises.

H1B Sponsorship

DataRobot has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (5)
2023 (29)
2022 (19)
2021 (17)
2020 (8)

Funding

Current Stage
Late Stage
Total Funding
$1.05B
Key Investors
Snowflake VenturesAltimeter CapitalSapphire Ventures
2021-06-27Series G· $300M
2020-12-09Series F· $50M
2020-11-17Series F· $270M

Leadership Team

leader-logo
Debanjan Saha
Chief Executive Officer
linkedin
leader-logo
Brian Brown
Chief Financial and Legal Officer
linkedin
Company data provided by crunchbase