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

databricks· 36 open roles

Location TBD On-siteFull-time2 weeks ago

Salary

$182k - $250k

Experience

Mid

Job Type

Full-time

Posted

2 weeks ago

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About This RoleAI processing…

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. The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements t

Key Responsibilities

1
Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
2
Own production rollouts of consumer and internally facing GenAI applications
3
Serve as a trusted technical advisor to customers across a variety of domains
4
Present at conferences such as Data + AI Summit , recognized as a thought leader internally and externally
5
Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
6
Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
7
Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
8
Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
9
Experience building production-grade machine learning deployments on AWS, Azure, or GCP
10
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
11
Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
12
Passion for collaboration, life-long learning, and driving business value through AI
13
[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets
14
Willing to travel once every 4-8 weeks to see customers (as needed)

Requirements

Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
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.
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.