Senior AI Engineer - Professional Services - KSA

Role Overview

Key Responsibilities

• Partner with customers to understand business goals, identify high-impact use cases, 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 agents on DataRobot leveraging frameworks such as LangGraph, CrewAI, and Llama Index.
• Build custom GenAI chatbots and Retrieval-Augmented Generation (RAG) systems.
• Develop and deploy classic machine learning models for forecasting, churn prediction, and fraud detection.
• Serve as a technical expert on the DataRobot platform and modern AI/ML development, guiding customers on MLOps, model governance, and scaling AI initiatives.
• Ensure solutions are robust, scalable, and directly contribute to customer business objectives.
• Communicate complex technical concepts and project outcomes to 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 such as pandas, scikit-learn, and NumPy.
• Practical experience with Generative AI technologies including Large Language Models and 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 using Flask or FastAPI to serve ML models and GenAI logic.
• Proficiency with Docker and experience deploying and managing applications on Kubernetes.
• Solid understanding of secure application development practices including authentication/authorization, secrets management, and securing public-facing endpoints.
• Experience in a client-facing or consulting role with exceptional verbal and written communication skills.
• A deep curiosity and passion for solving complex, unstructured problems.

Education and 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 into production.
• Master's Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
• Hands-on experience with a major cloud platform (AWS, Azure, or GCP).
• Familiarity with the DataRobot AI Platform is a strong plus.
• Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.

Benefits

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

About DataRobot