Key skills

DatabricksGenerative AILarge Language Models (LLMs)Vector DatabasesRetrieval-Augmented Generation (RAG)Prompt EngineeringFine-TuningLangChainLangGraphAWS BedrockAzure OpenAIGoogle Vertex AIFull-Stack EngineeringReactAngularNode.jsPythonDjangoFlaskCloud ArchitectureMLOpsDevOpsAzure AI FoundryAzure AI SearchPrompt ShieldsConsultingPre-SalesClient AdvisoryAIGenAILarge Language ModelsOpenAIRAGAnalyticsBIAWSAzureBedrockVertex AILeadershipMentoringSales

About this role

BI & DW Australia is a leading Data & Analytics consultancy. The company is seeking a Databricks and AI Engineer to develop and deploy generative AI systems, leveraging Databricks, cloud platforms, full-stack technologies, and MLOps practices. The role also involves consulting, technical leadership, mentoring, client advisory, and delivery leadership.

Responsibilities:

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)
Strong 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 professional 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