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.
Modern 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 strong 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.
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📌 Generative Ai Engineer (New South Wales)
🏢 Sirius.
📍 New South Wales