Senior AI Engineer - Professional Services jobs in United States
cer-icon
Apply on Employer Site
company-logo

DataRobot · 3 months ago

Senior AI Engineer - Professional Services

DataRobot delivers AI that maximizes impact and minimizes business risk. As an AI Engineer on our Professional Services team, you will work directly with strategic customers to translate complex business challenges into AI solutions, focusing on design, build, and deployment of applications. This role offers the opportunity to engage with cutting-edge AI technology and deliver tangible business value.

AI InfrastructureEnterprise SoftwareMachine Learning
check
H1B Sponsor Likelynote

Responsibilities

Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions
Build & Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:
Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index
Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems
Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection
Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives
Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives
Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives

Qualification

PythonGenerative AIMLOpsCloud ExperienceDataRobot PlatformREST APIsDockerKubernetesCommunication SkillsProblem-Solving Mindset

Required

Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.)
Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases
Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring
Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic
Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s)
Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints
Experience in a client-facing or consulting role with exceptional verbal and written communication skills
Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production
A Master's Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field
Hands-on experience with a major cloud platform (AWS, Azure, or GCP)
Familiarity with the DataRobot AI Platform is a strong plus
Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance

Benefits

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

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