Senior AI Engineer - Professional Services
Houston, Texas, US Remote
$225,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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. As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value. This is a unique opportunity to design, build, and deploy a wide range of applications—from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you. This is a fully remote position with no requirement to go into an office on a regular basis. There will be travel requirements associated with this position to visit clients onsite up to 25% - 50% of the time.
What you'll bring
- 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.
- You must be comfortable leading technical discussions and presenting to diverse audiences.
- 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.
- Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).
- MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.
- DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.