AI Engineer - FDE (Forward Deployed Engineer)

90 billion by 2025. As a leader in data and AI, Databricks offers a unique opportunity for professionals to work on innovative projects, leveraging the latest techniques from AI research. With the rise of remote work, companies like Databricks are looking for skilled engineers who can collaborate cross-functionally and drive business value through AI. Before applying, candidates should be prepared to showcase their technical expertise, passion for collaboration, and experience working with large-scale datasets.

## About the Role As an AI Engineer - FDE at Databricks, you will be part of a highly specialized customer-facing AI team that delivers professional services engagements to help customers build and productionize first-of-its-kind AI applications. You will work closely with the engineering, product, and developer relations teams to shape long-term strategic priorities and initiatives. The AI FDE team is an ensemble of individuals with strong, unique specializations, and you will have the opportunity to improve the overall strength of the team.

The role entails developing cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems. You will own production rollouts of consumer and internally facing GenAI applications, serving as a trusted technical advisor to customers across various domains. Your expertise will be recognized through presentations at conferences such as the Data + AI Summit, and you will be seen as a thought leader internally and externally.

You will report to the Senior Manager of AI FDE, EMEA, and will be part of a team that values collaboration, life-long learning, and driving business value through AI.

## What You Will Do - 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 the Data + AI Summit, recognized as a thought leader internally and externally - Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap - Build and maintain relationships with customers, understanding their needs and providing tailored solutions - Work with the sales team to identify new business opportunities and develop proposals - Participate in the development of the AI FDE team, providing feedback and guidance to junior engineers - Stay up-to-date with the latest advancements in AI and machine learning, applying this knowledge to improve customer solutions - Collaborate with internal teams to develop and refine the Databricks AI platform

## What We Are Looking For - 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 optimizations - Extensive years of 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

## Nice to Have - Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets - Familiarity with cloud-based machine learning platforms such as AWS SageMaker or Google Cloud AI Platform - Experience with agile development methodologies and version control systems such as Git

## Benefits and Perks - Competitive salary and benefits package - Opportunity to work with a leading company in the data and AI industry - Collaborative and dynamic work environment - Professional development opportunities, including training and conference attendance - Flexible working hours and remote work options - Access to the latest technologies and tools in the industry - Recognition and rewards for outstanding performance

- To stand out in your application, make sure to highlight your experience with GenAI applications and production-grade machine learning deployments.

• Showcase your passion for collaboration and life-long learning, and be prepared to provide examples of how you have driven business value through AI in previous roles.
• Familiarize yourself with the Databricks Intelligence Platform and Apache Spark, and be prepared to discuss your experience with these technologies.
• Emphasize your ability to communicate technical concepts to non-technical audiences, and provide examples of how you have done so in previous roles.
• Be prepared to discuss your experience with agile development methodologies and version control systems, and how you have applied these in previous roles.
• Research the company culture and values, and be prepared to discuss how you align with these.