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.
- 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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