AI Forward Deployed Engineer

We are seeking an AI Forward Deployed Engineer to join our highly specialised customer-facing AI team at Databricks. As part of this role, you will deliver professional services engagements to help customers build and productionize AI applications. You will work cross-functionally with engineering, product, and developer relations teams to shape long-term strategic priorities and initiatives.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems.
• Own production rollouts of consumer and internally facing GenAI applications.
• Serve as a trusted technical advisor to customers across various domains.
• Present at conferences such as Data + AI Summit, recognised as a thought leader internally and externally.
• Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap.

What we look for:

• Minimum 4 years of experience in Data Science, Machine Learning, or Artificial Intelligence.
• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
• Expertise in deploying production-grade GenAI applications, including evaluation and optimisations.
• Extensive hands-on industry data science experience, leveraging common machine learning and data science tools, i.e., pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
• Passion for collaboration, life-long learning, and driving business value through AI.
• Preferred: Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.
• Willing to travel once every 4-8 weeks to see customers (as needed).

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, click here.

Our Commitment to Diversity and Inclusion: At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.