Senior AI Engineer - Professional Services

DataRobot
Houston
Workplace: RemoteFull timeUSD 165,000 - 225,000 annuallyFunction: Data Science & Machine LearningExperience: 6-8 yearsEducation: mastersSkills: ["Communication","Problem-solving","Customer focus","Presenting"]

Design, build, and deploy end-to-end AI solutions for strategic customers on the DataRobot Professional Services team. Translate business goals into high-impact predictive and generative AI applications, including agentic AI, custom GenAI chatbots, and RAG systems. Serve as a technical expert across MLOps, model governance, and scaling, while communicating outcomes to both technical and non-technical stakeholders. Fully remote with client travel up to 25–50%.

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FursaFursa
DataRobot
DataRobot
1 month ago

Senior AI Engineer - Professional Services

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Last checked: 18 minutes agoStatus: Live

Job Summary

Design, build, and deploy end-to-end AI solutions for strategic customers on the DataRobot Professional Services team. Translate business goals into high-impact predictive and generative AI applications, including agentic AI, custom GenAI chatbots, and RAG systems. Serve as a technical expert across MLOps, model governance, and scaling, while communicating outcomes to both technical and non-technical stakeholders. Fully remote with client travel up to 25–50%.
Location: Houston
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with customer stakeholders to understand business goals and define technical requirements for AI solutions.
  • •Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools.
  • •Develop and deploy agentic AI on DataRobot using frameworks such as Langgraph, CrewAI, and Llama Index.
  • •Build custom GenAI chatbots and Retrieval-Augmented Generation (RAG) systems.
  • •Serve as a technical expert on the DataRobot platform and modern AI/ML development, guiding customers on MLOps, model governance, and scaling while communicating results to technical and non-technical audiences.
Travel: High travel

Pay and Benefits

Salary: USD 165,000 - 225,000 annually
Perks:Health InsuranceDentalVisionPaid HolidaysParental Leave

Key Requirements

  • •Approximately 6-8 years of hands-on experience in AI application development, software engineering, machine learning engineering, or a similar role delivering AI into production.
  • •Master’s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
  • •Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy).
  • •Practical experience with generative AI (LLMs, vector databases) and the end-to-end agentic AI lifecycle using frameworks like LangGraph or CrewAI.
  • •Hands-on experience with a major cloud platform (AWS, Azure, or GCP) plus MLOps knowledge for CI/CD, monitoring, and governance.
Experience:6-8 yearsAI application developmentMachine learningMLOps
Education:Master's
Skills:CommunicationProblem-solvingCustomer focusPresenting
Tech Stack:PythonPandasScikit-learnNumPyLLMsVector databasesLanggraphCrewAILlama IndexRAGREST APIsFlaskFastAPIDockerKubernetesOAuthAPI keysDataRobot

Company Brief

DataRobot
Provides an enterprise AI platform that automates and accelerates the end-to-end data science lifecycle, enabling organizations to build, deploy, and manage machine learning models at scale for business decisioning and predictive analytics.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Boston, United States
Founded: 2012
WebsiteLinkedIn