Databricks

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

Databricks · Maryland; Virginia; Washington, D.C.

Posted 19 days ago

or apply directly on Databricks's site. We never take the application ourselves.

Is this posting real?

This role has been open
19 days
Databricks's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of Databricks's roles list one
Ghost-job risk at Databricks
low
0 stale, 25 reposted of 879 open
Hiring momentum
1112 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Databricks's own greenhouse board since 2026-08-03. Full hiring picture for Databricks.

About this role

The AI Engineer - FDE role involves working with clients to develop and deploy innovative GenAI applications, leveraging the latest techniques from Databricks AI research. Responsibilities include serving as a technical advisor, collaborating with cross-functional teams, and presenting at conferences. The position requires hands-on data science experience and a passion for AI and collaboration.

Our read on this posting2.6out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Databricks as an employer.

What you need

  • U.S. citizenship and eligibility for a U.S. government secret clearance
  • Experience building GenAI applications with tools such as HuggingFace, LangChain, and DSPy
  • Expertise in deploying production-grade GenAI applications
  • Extensive hands-on industry data science experience using tools like pandas, scikit-learn, PyTorch
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline or equivalent practical experience

Nice to have

  • Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
  • Willingness to travel once every 4-8 weeks to see customers

Worth weighing

  • Position requires periodic on-site work and client collaboration in the D.C. metropolitan area
  • No specific benefits listed in the posting
  • Local pay range is provided but actual compensation may vary based on several factors

Summarised from Databricks's posting. Read the full original.

Listed by Databricks on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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