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AI Engineer - FDE; Forward Deployed Engineer

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Databricks
Full Time position
Listed on 2025-12-23
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 161280 - 225792 USD Yearly USD 161280.00 225792.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer - FDE (Forward Deployed Engineer)

Get AI-powered advice on this job and more exclusive features.

PLEASE NOTE: This position requires eligibility to work in the United States and the ability to obtain and maintain a U.S. government security clearance at the Top Secret level or higher. Due to federal contract requirements and client site access needs, U.S. citizenship is required. The role is based in the Washington, D.C., Maryland, or Virginia metropolitan area to support periodic on-site work and client collaboration.

Candidates with an active Top Secret clearance or higher are strongly encouraged to apply.

The Impact You Will Have
  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic 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, Text2

    SQL, fine-tuning, etc., with tools such as Hugging Face, Lang Chain, 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.
  • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large‑scale distributed datasets.
Pay Range Transparency

Zone 2 Pay Range: $161,280 – $225,792 USD.

Zone 3 Pay Range: $161,280 – $225,792 USD.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

Benefits

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

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.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Seniority level

mid-senior level

Employment type

full-time

Job function

Engineering and Information Technology

Industries

Software Development

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