Sr. AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

PLEASE NOTE

Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply. AI Forward Deployed Engineering (AI FDE) The AI Forward Deployed Engineering team is a highly specialized customer-facing AI team at Databricks. 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 teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote. 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 a variety of domains Present at conferences such as 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 What we look 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 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) 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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. #J-18808-Ljbffr Cacheflow