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Senior AI Engineer - Professional Services
Senior AI Engineer - Professional ServicesDataRobot • California, MO, US
Senior AI Engineer - Professional Services

Senior AI Engineer - Professional Services

DataRobot • California, MO, US
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Overview

Senior AI Engineer - Professional Services. 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.

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 role involves designing, building, and deploying a wide range of applications—from powerful predictive models to sophisticated Generative AI agents and chatbots.

Key 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.

Knowledge, Skills and Abilities

  • AI & Machine Learning Expertise : 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.
  • Application Development & Operations : 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. Customer Focus : Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences. Problem-Solving Mindset : A deep curiosity and a passion for solving complex, unstructured problems.
  • Requisite Education and Experience / Minimum Qualifications

  • Experience : 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.
  • Education : 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).
  • DataRobot Experience : Familiarity with the DataRobot AI Platform is a strong plus.
  • MLOps Knowledge : Understanding of MLOps principles and tools for model CI / CD, monitoring, and governance.
  • Compensation & Benefits

    The U.S. annual on-target earnings (OTE) range for this full-time position is between $165,000 and $220,000 USD / year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on factors including location, skills, experience, and education.

    Benefits may include Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more, depending on location and local legal requirements.

    DataRobot Operating Principles

  • Wow Our Customers
  • 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
  • Equal Opportunity

    DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, disability, or other protected characteristics. DataRobot is committed to providing reasonable accommodations to applicants with disabilities. All applicant data is handled in accordance with our Applicant Privacy Policy.

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