AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector
New
U.S.Full-Time
Salary180,656 - 248,360 USD per year
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Job Details
- Experience
- Extensive years of hands-on industry data science experience
- Required Skills
- AWSGCPPyTorchAzurePandasSparkscikit-learnLangChain
Requirements
- Experience working with U.S. federal civilian, state, or local agencies.
- 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.
Responsibilities
- 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.
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