Databricks

AI Engineer - FDE (Forward Deployed Engineer)

Databricks$152K — $210K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in building GenAI applications (e.g., RAG, Text2SQL) using frameworks like HuggingFace and LangChain
  • Expert in deploying production-grade GenAI applications with optimization for performance
  • Hands-on experience in data science, utilizing tools such as Pandas, Scikit-learn, and PyTorch
  • Experienced in machine learning deployment on cloud platforms like AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline or equivalent practical work experience
  • Effective communicator with the ability to convey technical concepts to varied audiences
  • Passionate about collaboration and continuous learning in the AI field
  • [Preferred] Familiarity with the Databricks Intelligence Platform and Apache Spark™ for large data processing

Responsibilities

  • Develop advanced GenAI solutions to tackle customer-specific challenges
  • Oversee production rollouts for both consumer-targeted and internal GenAI applications
  • Act as a trusted technical advisor for clients spanning multiple industries
  • Represent the organization at conferences, contributing as a thought leader
  • Work collaboratively with product and engineering teams to align on priorities and influence product direction

Benefits

  • Comprehensive benefits package tailored to meet diverse employee needs
  • Additional performance-based annual bonuses and equity options
  • Opportunities for professional development and continuous learning
  • Flexible work environment that accommodates travel to customer sites every 4-8 weeks
Full Job Description
AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)

CSQ327R177

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

$152,900-$210,155 USD

BenefitsAt 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.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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