AI Engineer

About the Role

The AI Forward Deployed Engineering (AI FDE) team at Databricks is a specialized, customer-facing AI team. They deliver professional services to assist customers in building and productionizing AI applications. The team collaborates with engineering, product, and developer relations, as well as internal subject matter expert (SME) teams, to shape strategic priorities. This role is suitable for individuals who enjoy customer interaction, teamwork, and staying current with trends in GenAI, LLMOps, and ML.

This position requires U.S. citizenship and eligibility for a U.S. government secret clearance due to federal contract requirements and client site access.

The role is based in the Washington, D.C., Maryland, or Virginia metropolitan area with periodic on-site work and client collaboration.

Candidates with an active Secret or higher clearance are strongly encouraged to apply.

This role can be remote.

Key Responsibilities

• Develop cutting-edge GenAI solutions, applying the latest techniques from Databricks AI research to address customer challenges.
• Oversee production rollouts of both consumer and internally facing GenAI applications.
• Act as a trusted technical advisor to customers across various domains.
• Present at conferences such as Data + AI Summit, establishing thought leadership internally and externally.
• Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap.

Requirements & Tech Stack

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, using tools such as HuggingFace, LangChain, and DSPy.
• Expertise in deploying production-grade GenAI applications, encompassing evaluation and optimizations.
• Extensive years of hands-on industry data science experience, utilizing common machine learning and data science tools like pandas, scikit-learn, and PyTorch.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
• Willingness to travel approximately once every 4-8 weeks to visit customers as needed.

Qualifications

• 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 both non-technical and technical audiences.
• Passion for collaboration, continuous learning, and driving business value through AI.
• Preferred: Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.

Compensation

Local Pay Range: $182,000—$250,208 USD. Actual compensation will be based on factors such as job-related skills, depth of experience, relevant certifications, training, and work location. This role may also be eligible for an annual performance bonus, equity, and other benefits.