DataRobot
Senior AI Engineer - Professional Services
Houston, Texas, US · Senior · Full-time
Sponsorship not specifiedDetected 5 days ago
PythonFastAPIFlaskVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDRESTOAuthMachine Learningscikit-learnPandasNumPyData ScienceLLMsRAGAgentic AIMLOpsLangGraphStatistics
About the role
- Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.
- 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.
Responsibilities
- 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.
- 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.
- 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.
Requirements
- Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).
Nice to have
- Familiarity with the DataRobot AI Platform is a strong plus.
- DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.
Skills
- This includes:
- 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
Compensation
- The U.S. annual on-target earnings (OTE) range for this full-time position is between $165,000 and $225,000 USD/year.
- This range represents a combination of annual base pay and targeted commission.
- We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core.
Benefits
- We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core.
- Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.
- AI & Machine Learning Expertise:
- Requisite Education and Experience /
- 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.
Company info
- 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.
- 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.
- 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.
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This listing is sourced directly from DataRobot's careers page and normalized into a canonical job model.