Applied AI Engineer

About the role

As an Applied AI Engineer at Databricks, you will define and create the Agentic Machine Learning revolution. You will help the world’s largest companies build and deploy massive classical machine learning solutions—such as personalized recommendations, fraud detection, dynamic pricing, and forecasting—using Databricks agents.

Key responsibilities

• Build agentic end‑to‑end systems in a small, highly international team of experienced engineers.
• Develop solutions for software engineers, ML engineers, data engineers, data scientists and MLOps engineers.
• Own the applied ML investment by collaborating with engineering and product teams across the company.
• Drive the development and deployment of state‑of‑the‑art ML/AI models that enhance Databricks products and services.
• Architect and implement robust, scalable ML infrastructure, including training and serving components.
• Work on novel forecasting techniques to address predictive and what‑if business questions.
• Contribute to the broader AI community by presenting at conferences and participating in open‑source projects.

Required profile

• 2–8 years of engineering experience in high‑velocity, high‑growth environments.
• Strong software engineering skills with familiarity of testing and deployment best practices.
• Experience developing AI/ML systems at scale in production; a track record of advanced ML modeling is a plus.
• Nice to have: experience deploying, scaling, and monitoring models in production and understanding Tier 0 infrastructure challenges.