Sr. AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

Databricks; Virginia (MN); On-site; USD 185,920 - 255,640; Full time

Benefits offered by this job

Comprehensive benefits

Annual performance bonus

Equity options

Job summary

Databricks is seeking a professional to develop innovative GenAI solutions, leveraging cutting-edge AI research. This role requires experience with machine learning applications and a graduate degree in a relevant discipline. Collaboration with cross-functional teams is essential, as well as strong technical communication skills. The position is primarily based in the Washington, D.C. metropolitan area and offers a competitive salary range of $185,920—$255,640.

Join us at Databricks to make an impact in data and AI!

Qualifications

• Experience building GenAI applications.
• Expertise in deploying production-grade GenAI applications.
• Hands-on industry data science experience.

Responsibilities

• Develop cutting-edge GenAI solutions.
• Own production rollouts of GenAI applications.
• Collaborate with product and engineering teams.

Skills

GenAI applications development

Machine learning tools (pandas, scikit-learn, PyTorch)

Production-grade deployments on AWS/Azure/GCP

Technical communication skills

Collaboration and lifelong learning

Education

Graduate degree in a quantitative discipline

Tools

HuggingFace

LangChain

DSPy

Databricks Intelligence Platform

Apache Spark

Job description

Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on-site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

The Impact You Will Have

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What We Look For

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• 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 non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI
• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
• Willing to travel once every 4-8 weeks to see customers (as needed)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$185,920—$255,640 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.