AI Engineer - Forward Deployed Engineering (AI FDE)

Databricks; Sacramento (CA); Remoto; USD 150.000 - 210.000; Tempo integral

Resumo da vaga

Databricks is seeking an experienced AI Engineer for Forward Deployed Engineering (AI FDE). You will design, build, and productionize GenAI applications for customers, working closely with cross-functional teams and customers globally.

This role is open to remote locations in the United States. You will lead production rollouts, advise customers, and contribute to the product roadmap while staying at the forefront of GenAI trends and best practices. Willing to travel 4–8 weeks per year.

Qualificações

• Hands-on data science experience with pandas, scikit-learn, and PyTorch.
• Experience deploying production ML across AWS, Azure, or GCP.
• Graduate degree in CS, Engineering, Statistics, OR.
• Willing to travel 4–8 weeks per year.

Responsabilidades

• Develop GenAI solutions using latest Databricks techniques.
• Own production rollouts of GenAI apps.
• Advise customers technically across domains.
• Present at conferences such as Data + AI Summit.
• Collaborate with product/engineering to shape the roadmap.
• Build GenAI apps including RAG, multi-agent systems, Text2SQL, fine-tuning.

Conhecimentos

Data science

ML deployment

AWS/GCP/Azure

PyTorch

Pandas

Scikit-learn

Formação

Graduate degree in quantitative field

Ferramentas

Databricks Platform

Apache Spark

Cloud deployments

Descrição da vaga

AI Engineer - Forward Deployed Engineering (AI FDE) (ALL LEVELS) CSQ327R177

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

This role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants.

Responsibilities

• 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
• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., Expertise in deploying production-grade GenAI applications, including evaluation and optimizations

Qualifications

• 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.) 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)

Compensation

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. Local Pay Range $About Databricks

Company Overview

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. 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.

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.