
AI Engineer β Forward Deployed Engineering, U.S. Public Sector
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in Maryland, +2 more states.
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.
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 4β8 weeks to meet with customers as necessary.
β’ Experience with the Databricks Intelligence Platform and Apache Spark is preferred.
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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