I am partnering with a leading financial services organisation to find a highly skilled Senior AI Engineer to join a high-impact AI Enablement team.

This team builds the foundational platforms that empower other business areas to deploy advanced AI agents. They are specifically looking for a candidate who comes from a traditional Software Engineering background rather than a pure Data Science or Machine Learning profile who has successfully transitioned into an AI-focused engineering role. I am looking for someone with exceptionally solid core programming fundamentals who understands how to build the enterprise-grade infrastructure that makes AI integration possible.

Key Responsibilities
Platform Engineering: Design and build scalable backend systems that enable the enterprise-wide deployment of AI agents.
Integration & Optimisation: Architect AI/ML pipelines to integrate seamlessly into existing enterprise software, writing robust code in Python and Java.
Data Utilisation:



Leverage Graph technologies to structure and optimise complex data relationships for AI applications.
Contemporary Tooling: Utilise Large Language Models (LLMs) and state-of-the-art AI coding tools to solve complex engineering bottlenecks.

Required Skills & Experience
Career Pathway: A solid foundational background in traditional Software Engineering, followed by a recent transition into an AI Engineering role.
Technical Stack: Extensive commercial development experience in Python and Java, alongside proven hands-on work with Graph databases.
AI Integration: Practical knowledge of embedding AI/ML pipelines into software architectures, rather than building or training models from scratch.
Problem Solving: Exceptional analytical capability to troubleshoot and scale infrastructure in a complex, high-availability environment.

📌 Generative Ai Engineer Sydney
🏢 Sirius.
📍 Sydney