Staff AI & Data Engineer

Salary

Core Qualifications

Preferred Qualifications

Key Responsibilities

• •Lead design and delivery of scalable AI/ML solutions for operations, predictive maintenance, optimisation, and intelligent automation.
• •Architect agentic AI systems including multi-agent patterns, RAG, and MCP implementations.
• •Drive integration of LLM and generative AI technologies using Databricks, OpenAI, Anthropic, and LangChain.
• •Establish reusable patterns and engineering standards for AI applications.
• •Lead design and optimisation of batch and streaming data pipelines.
• •Own medallion architecture standards within Databricks Unity Catalog.
• •Shape scalable data architectures including lakehouse, medallion, event-driven, and real-time processing.
• •Drive improvements in data quality, lineage, observability, and discoverability.
• •Define and evolve platform architecture for data and AI workloads across Azure and Databricks.
• •Lead implementation of MLOps and DataOps capabilities including CI/CD, testing, monitoring, and orchestration.
• •Standardise tooling and infrastructure patterns using Git, Terraform, Docker, and Kubernetes.
• •Ensure observability, validation, resilience, and operational support for pipelines and models.
• •Embed Responsible AI, security, privacy, and governance into data and AI solutions.
• •Evaluate emerging technologies with a pragmatic lens.
• •Provide technical leadership across complex initiatives.
• •Mentor senior and junior engineers to raise engineering excellence.
• •Contribute to Data & AI community of practice.