Senior GenAI Forward Deployed Engineer (Secret Clearance)

Cacheflow; Washington, Northern (District of Columbia, KY); On-site; USD 182,000 - 250,000; Full time

Job summary

Databricks is seeking an AI Forward Deployed Engineer to build GenAI applications, deploy production-grade solutions, and advise customers across industries. This role emphasizes collaboration with product and engineering, and opportunities to present at major conferences.

Ideal candidates have a graduate quantitative degree or equivalent, hands-on GenAI experience, and deep data science tooling knowledge. Remote work options may apply within the US.

Qualifications

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning.
• Experience deploying production-grade GenAI applications.
• Extensive data science experience with pandas, scikit-learn, PyTorch.
• Experience with cloud ML deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline or equivalent experience.
• Strong communication to non-technical and technical audiences alike.

Responsibilities

• Develop cutting-edge GenAI solutions using the latest Databricks research.
• Own production rollouts of GenAI applications for customers and internal use.
• Serve as a trusted technical advisor to customers across domains.
• Present at conferences such as Data + AI Summit.
• Collaborate with product and engineering to influence priorities and shape the product roadmap.

Skills

GenAI experience

Production deployment

Communication skills

Collaboration

Education

Graduate degree in quantitative field

Tools

HuggingFace

LangChain

DSPy

PyTorch

Pandas

Scikit-learn

Job description

Databricks is seeking an AI Forward Deployed Engineer to build GenAI applications, deploy production-grade solutions, and advise customers across industries. This role emphasizes collaboration with product and engineering, and opportunities to present at major conferences.

Ideal candidates have a graduate quantitative degree or equivalent, hands-on GenAI experience, and deep data science tooling knowledge. Remote work options may apply within the US.