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Databricks

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AI Engineer - FDE (Forward Deployed Engineer)

🗓️ Posted 2026-07-28 Melbourne, Australia Hybrid ICT

Company shared salary

NA

Market rate

A$15,000–A$22,500/mo (A$180,000–A$270,000/yr)

Based on similar roles (title + domain + location).

About the Company

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.

Responsibilities

  • ● Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic 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

Requirements

  • ● 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
  • ● Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets (preferred)