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Role Overview
Senior AI Engineer - Professional Services at DataRobot, Kingdom of Saudi Arabia (KSA). This is a hands-on role working directly with strategic customers to design, build, and deploy enterprise AI solutions.
Company Overview
DataRobot delivers AI that maximizes impact and minimizes business risk. The 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. Organizations worldwide rely on DataRobot for AI solutions.
Role Purpose
As a Senior AI Engineer on the Professional Services team, you will serve as a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value. You will work at the forefront of the AI revolution with strategic customers, designing, building, and deploying a wide range of applications from predictive models to sophisticated Generative AI agents and chatbots.
Key Responsibilities
Customer Partnership
- Partner with customer stakeholders to understand business goals, identify high-impact use cases, and define technical requirements for AI solutions.
- Collaborate closely with customers to ensure solutions are robust, scalable, and directly contribute to their business objectives.
AI Solution Development & Deployment
- Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools.
- Develop and deploy agentic AI agents on DataRobot leveraging common frameworks such as LangGraph, CrewAI, and Llama Index.
- Build custom Generative AI chatbots and Retrieval-Augmented Generation (RAG) systems.
- Develop and deploy classic machine learning models for use cases such as forecasting, churn prediction, and fraud detection.
Technical Expertise & Guidance
- Act as a subject matter expert on the DataRobot platform and modern AI/ML development.
- Guide customers on best practices for MLOps, model governance, and scaling AI initiatives.
Communication & Stakeholder Management
- Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.
- Lead technical discussions and present to diverse audiences.
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.
- 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.
Skills & Competencies
AI & Machine Learning
- Strong proficiency in Python and common data science libraries (pandas, scikit-learn, NumPy, etc.).
- Practical experience with Generative AI technologies, including Large Language Models (LLMs) 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 (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 (OAuth, API keys), secrets management, and securing public-facing endpoints.
Soft Skills
- Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills.
- Problem-Solving Mindset: Deep curiosity and passion for solving complex, unstructured problems.
Additional Information
Benefits
Benefits package may include, depending on location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more.
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 an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.