A leading Data & Analytics consultancy is looking for a Databricks engineer with solid AI skills

Obviously you need DATABRICKS with bells on top but also:
Deep expertise and proven experience in Generative AI technologies, including:
Large Language Models (LLMs)
Vector databases and embeddings
RAG pipelines and agent-based architectures
Prompt engineering, fine-tuning, and orchestration frameworks (Langchain & LangGraph experience is mandatory)
Cloud-based GenAI platforms (e.g., AWS Bedrock, Azure OpenAI, Google Vertex AI)
Solid full-stack engineering background, including modern front-end frameworks (e.g., React, Angular) and back-end technologies (e.g., Node.js, Python, Django, Flask).
Proven expertise in cloud architecture and MLOps/DevOps,



deploying and scaling AI systems on Azure with proven experience with Azure AI Foundry, Azure AI Search and Prompt Shields.
Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
Experience in consulting or qualified services, including pre-sales, client advisory, and delivery leadership.
Demonstrated success in technical leadership, mentoring teams, shaping delivery standards, and contributing to the growth of an AI or engineering practice.

📌 Databricks And Ai Engineer Sydney (Australia)
🏢 BI u0026amp; DW Australia
📍 Australia