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

🔥 6 hours ago

🦀 Maryland, Virginia, +1 more states – Remote

🦀 Maryland – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $182k - $250.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Develop cutting-edge GenAI solutions using techniques from Databricks AI research to solve customer problems • Own production rollouts of consumer-facing and internally facing GenAI applications • Serve as a trusted technical advisor to customers across varied domains • Present at conferences such as Data + AI Summit and act as an internal and external thought leader • Collaborate with product and engineering teams to influence priorities and shape the product roadmap • Work cross-functionally with engineering, product, developer relations, and internal subject matter expert teams • Support customers in building and productionizing first-of-its-kind AI applications

🎯 Requirements

• U.S. citizenship required • Eligibility for a U.S. government secret clearance required • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning • Experience with HuggingFace, LangChain, and DSPy • Expertise deploying production-grade GenAI applications, including evaluation and optimization • Extensive hands-on industry data science experience • Experience with pandas, scikit-learn, PyTorch, and common machine learning/data science tools • Experience building production-grade machine learning deployments on AWS, Azure, or GCP • Experience communicating and/or teaching technical concepts to technical and non-technical audiences • Willingness to travel once every 4–8 weeks to see customers as needed • Experience using the Databricks Intelligence Platform and Apache Spark is preferred

🏖️ Benefits

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks (region-specific details provided by Databricks) • Remote work option • Periodic client collaboration and on-site work opportunities

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