TL;DR

Senior AI Engineer (AI): Develops and productionizes cutting-edge GenAI solutions for customers, integrating the latest research and serving as a technical advisor. Focus on building robust GenAI applications, deploying them to production, and influencing product strategy.

Location: Remote (United States)

Salary: $180,656–$248,360 USD

Company

Databricks is a leading data and AI company providing a Data Intelligence Platform to over 10,000 organizations worldwide.

What you will do

  • Develop cutting-edge GenAI solutions using Mosaic AI Research.
  • 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.
  • Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap.

Requirements

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, with tools such as HuggingFace, LangChain, and DSPy.
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
  • Strong hands-on industry experience in data science, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch).
  • 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.

Nice to have

  • Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.

Culture & Benefits

  • Join a highly specialized customer-facing AI team delivering professional services.
  • Work in an ensemble team that values strong, unique specializations.
  • Committed to fostering a diverse and inclusive culture.
  • Access comprehensive benefits and perks that meet the needs of all employees.
  • Opportunities for lifelong learning and staying curious about the latest trends in GenAI, LLMOps, and ML.