AI Engineer - FDE (Forward Deployed Engineer)

Databricks | unspecified

AI Engineer - FDE (Forward Deployed Engineer) opportunity at Databricks.

Job description

AI Engineer - FDE (Forward Deployed Engineer) is a internship role with Databricks, based in United States. The position contributes to the employer's work through the function described in the vacancy, with day-to-day focus on We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. It is not intended for internship, new graduate, or entry-level applicants. The impact you will have: <ul> <li>Develop cutting-edge GenAI solutions, incorporating the latest techniques from <a href="https://www.databricks.com/blog/category/databricks-ai?categories=databricks-ai%2Cai-research%2Cai-engineering">Databricks AI research</a> to solve customer problems</li> <li>Own production rollouts of consumer and internally facing GenAI applications</li> <li>Serve as a trusted technical advisor to customers across a variety of domains</li> <li>Present at conferences such as <a href="https://www.databricks.com/dataaisummit">Data + AI Summit</a>, recognized as a thought leader internally and externally</li> <li>Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap </li> </ul> What we look for: <ul> <li>Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy</li> <li>Expertise in deploying production-grade GenAI applications, including evaluation and optimizations </li> <li>Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and

Requirements

pandas
scikit-learn
PyTorch
etc.</li> <li>Experience building production-grade machine learning deployments on AWS
Azure
or GCP</li> <li>Graduate degree in a quantitative discipline (Computer Science
Engineering
Statistics
Operations Research
etc.) or equivalent practical experience</li> <li>Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike</li> <li>Passion for collaboration
life-long learning
and driving business value through AI</li> <li>[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets</li> <li>Willing to travel once every 4-8 weeks to see customers (as needed)</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"> Pay Range Transparency Databricks is committed to fair and equitable compensation practices.

Skills

AWS
Azure
GCP
excel