Senior AI Engineer - Professional Services

Overview

Senior AI Engineer - Professional Services  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.

• 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 Data Robot platform and open-source tools. This includes:
• Agentic AI:
  Developing and deploying agents on Data Robot 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 Data Robot 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.

• AI & Machine Learning Expertise:
  Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, Num Py, 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 Lang Graph 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.

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

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 various factors, including location, skills, experience, and education. Benefits may include Medical, Dental & Vision Insurance, Flexible Time Off, Paid Holidays, Paid Parental Leave, Global EAP, and more, depending on location and local law.

• Data Robot 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;
  Over communicate.
• EEO:
  Data Robot is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, disability, or other protected characteristics. Reasonable accommodations are provided. Data Robot adheres to EEO poster guidelines. All applicant data is handled per our Applicant Privacy Policy.