- Location
- Melbourne, VIC, AU
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Source
- Breezy HR
Description
About the Company:
InfoCentric is one of the largest Australian-owned specialist Data Consultancies, specialising in Cloud Data Platforms, Analytics and AI. At InfoCentric, we are driven by reliability, care for our people and pride in delivering exceptional data solutions across Strategy, Platform, AI and Managed Services to Australia’s largest organisations
About the role:
We're seeking an experienced AI/ML Architect with a strong Data Science background to design and deliver enterprise-scale AI and machine learning solutions. You'll work across advanced AI initiatives, helping shape scalable, production-ready solutions that support optimisation models, intelligent edge capabilities, and emerging Agentic AI technologies.
About you:
To be successful in this role, you’ll need:
- Extensive experience in AI, Machine Learning, Data Science, or Solution Architecture
- Strong experience designing and deploying production AI/ML solutions
- Hands-on experience with Azure Machine Learning, Azure AI Foundry, and the Microsoft AI ecosystem
- Experience working with Large Language Models (LLMs) and Agentic AI frameworks
- Knowledge of Microsoft Agent Framework
- Experience with Azure Kubernetes Service (AKS)
- Familiarity with Redis and Azure Cosmos DB for AI memory architectures is highly desirable
- Excellent communication skills with the ability to engage both technical and business stakeholders
You’ll be at an advantage if you also have
- Software engineering or application development background preferred
- Experience with optimisation models, predictive analytics, or computer vision is advantageous
About us:
At InfoCentric, we aren’t driven by hype. Quality, accountability and honesty do not need to be flashy, they quietly outperform. When paired with a genuine commitment to a healthy, supportive team, they create something powerful. Our people work with integrity, we deliver data expertise as promised, and we show up for each other in all scenarios.
What’s important to us:
Act with integrity — we do what we say we will do
Thrive together — we believe strong teams produce strong outcomes
Grow expertise — we invest deeply in data and AI capability
Build Trusted Partnerships — we are grounded in trust and shared purpose
Think big picture — we maximise positive impact, beyond projects
Embrace diversity — we create space for people to be themselves
These values reflect who we are and how we work. We are proud to be a diverse team where knowledge flows freely, allowing us to do our best.
Applications
We are grateful to receive a high volume of applications, however this means you will only be contacted if you are successful. We appreciate your interest in this role and in working with us.
If you do happen to be unsuccessful for this role, we may retain your details so that you can be considered for future opportunities that may be a better match for you.
