AI Engineer – Forward Deployed Engineering, U.S. Public Sector

Posted Oct 30

This is a fully remote position, open to applicants in Maryland, +2 more states.

πŸ“‹ Description

β€’ Create innovative GenAI solutions by leveraging methodologies from Databricks AI research to address customer challenges.

β€’ Take responsibility for the deployment of both consumer-oriented and internal GenAI applications.

β€’ Act as a reliable technical advisor to clients across diverse sectors.

β€’ Deliver presentations at events like the Data + AI Summit and serve as a thought leader both internally and externally.

β€’ Collaborate with product and engineering teams to influence priorities and guide the product roadmap.

β€’ Work collaboratively across engineering, product, developer relations, and internal subject matter expert teams.

β€’ Assist customers in developing and launching pioneering AI applications.


⛳️ Requirements

β€’ U.S. citizenship is mandatory.

β€’ Must be eligible for a U.S. government secret clearance.

β€’ A graduate degree in a quantitative field (such as Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience is required.

β€’ Proven experience in developing GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning.

β€’ Familiarity with HuggingFace, LangChain, and DSPy is necessary.

β€’ Proficient in deploying production-grade GenAI applications, including evaluation and optimization processes.

β€’ Significant hands-on experience in industry data science is essential.

β€’ Experience with tools such as pandas, scikit-learn, PyTorch, and other machine learning/data science utilities.

β€’ Proven track record in building production-grade machine learning deployments on platforms like AWS, Azure, or GCP.

β€’ Ability to communicate and/or educate technical concepts to both technical and non-technical audiences.

β€’ Willingness to travel approximately once every 4–8 weeks to meet with customers as necessary.

β€’ Experience with the Databricks Intelligence Platform and Apache Spark is preferred.


🏝️ Benefits

β€’ Eligibility for an annual performance bonus.

β€’ Equity eligibility.

β€’ Comprehensive benefits and perks (specific details vary by region, as provided by Databricks).

β€’ Option for remote work.

β€’ Opportunities for periodic client collaboration and on-site work.

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