Metropolis Events
June 18, 2025
9:00am - 3:00pm

Melbourne AI Engineering & Infrastructure Summit 2025

Shape the future of AI and join industry leaders for hands-on sessions and insights on scalable AI systems and high-performance infrastructure.

Melbourne AI Engineering & Infrastructure Summit 2025
Melbourne AI Engineering & Infrastructure Summit 2025

Join us at the AI Engineering and Infrastructure Summit  to shape the future of AI systems.

In June, we're bringing together AI engineers, data scientists, and technology leaders to explore scalable AI systems and high-performance infrastructure.

Discover best practices for deploying AI models at scale, optimising data pipelines for machine learning workloads, and implementing continuous integration and deployment. Dive into Edge AI, discuss ethics in AI engineering, and debate whether cloud or on-prem solutions are best for AI development. Engage in interactive sessions, real-world case studies, panel discussions, and debates to stay ahead of emerging trends in AI engineering.

Key Themes:

  • Building Scalable AI Systems
  • Leveraging AI modernisation to transform applications and systems
  • High-Performance AI Infrastructure
  • Deploying AI Models at Scale
  • Optimising Data Pipelines for ML Workloads
  • Implementing Continuous Integration and Deployment
  • Edge AI
  • Ethics in AI Engineering
  • Cloud vs. On-Prem: What Is Best for AI Development


Who Should Attend?


AI engineers, data scientists, IT professionals, technology leaders, and anyone eager to enhance their understanding of AI engineering and infrastructure.

Don't miss this chance for a day of learning, innovation, and collaboration.

Program Highlights

12+

Speakers

10+

Sessions

125+

AI, Engineering & Infrastructure Leaders

1

Track

Our Speakers

Leonardo Borges

Leonardo Borges

Senior Director Engineering AI and Digital
Scott Shaw

Scott Shaw

Crew Lead - Generative AI Platform
Bahareh Nakisa

Bahareh Nakisa

Senior Lecturer in Applied Artificial Intelligence
Daniel Palmer

Daniel Palmer

Co-Founder
Kerry Halupka

Kerry Halupka

Head of Machine Learning (Teams & Education)
Ryk Neethling

Ryk Neethling

Chief Technology Officer
Fernando Mourão

Fernando Mourão

Head of Responsible AI
Amr Hassan

Amr Hassan

Director, Emerging Technologies
Guang Xu

Guang Xu

Lead - Platform
Gitansh Khirbat

Gitansh Khirbat

Co-Founder
Peter Lees

Peter Lees

Head of Solution Architecture
Ned Letcher

Ned Letcher

Lead Data Science Engineer

Agenda

9:00am
Arrival & Networking
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9:30
Escaping the LLM Overload: Harnessing Hybrid AI for Real-World Impact

In the rush to implement Large Language Models, many organizations are overlooking the strategic value of traditional machine learning approaches. Through real-world examples and practical frameworks, this talk challenges the "LLM everywhere" mindset and demonstrates how a hybrid approach combining targeted traditional ML with LLMs can create more reliable, cost-effective, and safer AI systems.

Leonardo Borges
Senior Director Engineering AI and Digital, Optus
9:50
Accelerating Enterprise AI: A Blueprint for Scalable Success

Discover a proven roadmap for building and deploying enterprise AI solutions that deliver real business value. Explore the essential steps, from strategic planning and resource alignment to streamlined development workflows, that ensure future growth and adaptability.

  • Defining clear objectives, success metrics, and stakeholder alignment.
  • Bringing together the right tools and platforms to manage data and analytics.
  • Establishing processes that evolve with changing AI demands and opportunities.
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    10:15
    Panel Discussion: Elevating AI Modernisation: Strategic Imperatives, Implementation Pathways, and Key Stakeholders

    This panel discussion dives into the compelling reasons to leverage AI when modernising tech estates and businesses, outlines sophisticated implementation approaches, and identifies the essential stakeholders who can champion a truly transformative agenda.

    • Examining the drivers prompting organisations to transformation applications and systems
    • Highlighting key opportunities including using AI to help modernise, and as a part of the modernised state
    • Understanding cross-functional roles necessary to orchestrate AI enabled modernisation successfully
    • Outlining advanced strategies for refining infrastructure, data pipelines, and MLOps processes to scale AI effectively
    • Fostering collaboration, robust governance, and continuous learning to ensure AI’s long-term viability and impact
    Scott Shaw
    Crew Lead - Generative AI Platform, Commonwealth Bank
    10:45
    Morning Tea and Networking
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    11:15
    Audience Activity

    In this innovative session, attendees will be faced with a series of scenarios that they may face in their roles. Attendees will discuss the possible courses of action with their peers to consider the ramifications of each option before logging their own course of action. 

    Results will be tallied and analysed by our session facilitator and results will impact the way the group moves through the activity.

    Will we collectively choose the right course of action?

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    11:35
    How I ... Embedded Responsible AI Practices Across the Business

    As one of Australia’s leading employment marketplaces, SEEK leverages AI to match job seekers with the right opportunities and assist employers in finding top talent. This session unveils how SEEK integrates responsible AI principles into its suite of products and programs—ensuring transparency, fairness, and trust across its extensive ecosystem of users and partners.

    Fernando Mourão
    Head of Responsible AI, SEEK
    11:50
    How Relevance.ai... Built a Scalable AI-Native Platform from the Ground Up

    How do you architect an AI-native platform purpose-built for vector search, LLM workflows, and scale? In this technical session, Relevance.ai Co-Founder Daniel Palmer shares the foundational decisions and cutting-edge infrastructure behind the platform's rapid growth. Gain insights into the real engineering behind enabling powerful, scalable, and enterprise-ready AI capabilities.

    • Designing for Scale from Day One: How Relevance.ai architected a vector-first platform to support fast, scalable AI-driven use cases
    • Compute and Cost Efficiency at Scale: Balancing performance, latency, and cost using smart infrastructure strategies across multi-cloud environments
    • LLM Workflow Orchestration: Powering custom enterprise AI workflows with modular, flexible pipelines and real-time data processing
    • From MVP to Enterprise-Ready: Evolving the platform to meet enterprise security, reliability, and integration requirements without sacrificing speed
    Daniel Palmer
    Co-Founder, Relevance AI
    12:05
    Panel Discussion: Building Scalable AI Systems: Tackling the Technology Challenges

    Explore the technical intricacies of designing, deploying, and scaling AI infrastructure. Delve into the tools, frameworks, and architectures that power high-performance AI solutions, and learn how to balance agility, security, and cost-efficiency.

    • How do teams architect resilient, high-performance computing environments to support AI workloads at scale?
    • How can teams ensure real-time, high-volume data flow for AI?
    • Which pipelines streamline model development, deployment, and continuous monitoring?

    Peter Lees
    Head of Solution Architecture, SUSE
    Daniel Palmer
    Co-Founder, Relevance AI
    Amr Hassan
    Director, Emerging Technologies, Monash University
    12:35
    Roundtable Discussions

    Roundtable topics to be shared with registered attendees for their selection

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    1:30
    Lunch and Networking
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    2:20
    Designing AI with a Human Lens: Aligning Autonomous Systems to Real-World Roles

    At the intersection of compliance, technology, and organizational culture, sendpayments.com has achieved a 40% improvement in engineering velocity by treating AI agents like human staff. Operating in a highly regulated industry, their strategy involves thoroughly vetting AI through policy and governance committees before any workflow implementation.

    • Defining, Onboarding, and Reviewing AI Roles: Creating AI “job descriptions,” profiling responsibilities, and conducting performance evaluations as if AI were full-fledged team members
    • Putting Tasks Before Technology: Ensuring AI augments rather than dictates workflows by focusing first on business requirements and operational needs
    • Institutionalising Governance: Feeding every AI decision through policy and governance committees to uphold trust, transparency, and regulatory alignment

    Ryk Neethling
    Chief Technology Officer, Send Payments
    2:40
    Inside Canva's AI Journey
    Kerry Halupka
    Head of Machine Learning (Teams & Education), Canva
    3:00
    Closing Think Tank: Five Contentious AI Engineering and Infrastructure Trends

    In this interactive session, participants will explore and debate five hot-button issues shaping AI’s future. Expect divergent views and lively discussion on how these trends could redefine both engineering practices and business outcomes.

    • Cloud vs. On-Prem High-Performance Computing – Balancing elasticity, control, and cost
    • AutoML Tools – Do they empower teams or oversimplify complex engineering challenges?
    • Ethical AI vs. Speed to Market – Should organisations slow innovation to ensure responsible development?
    • Edge AI vs. Centralised Processing – Is pushing more AI to the edge truly efficient or overly complex?
    • Low-Code/No-Code AI – Does democratising AI risk quality and governance, or is it the key to widespread adoption?

    Gitansh Khirbat
    Co-Founder, LygometryX.AI

    Who Attends?

    Head of Machine Learning

    Head of AI

    Head of Engineering

    Head of AI Engineering

    Head of Data

    Digital Transformation Director

    Head of DevOps

    Application Development Director

    Software Architect

    Cloud Architecture Manager

    Site Reliability Engineering Manager

    Head of Platform

    Benefits For Attendees

    4.7 / 5

    average overall rating from attendees at our events.

    94%

    of attendees rate our content as “Extremely Relevant”.

    100%

    of attendees would recommend attending a Clutch Event to a colleague.

    Our event sponsors
    For sponsorship opportunities, please get in touch with Danny Perry, danny@weareclutch.com.au

    Event Location

    Metropolis Events

    Upper Level, Southgate Shopping Precinct, Southbank VIC 3006
    Melbourne AI Engineering & Infrastructure Summit 2025

    FAQs

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    Get In Touch

    Contact our event team for any enquiry

    Danny Perry

    Director of Sales
    For sponsorship opportunities.
    danny@weareclutch.com.au

    Lili Munar

    Director of Client Relations
    For guest and attendee enquiries.
    lilibeth@weareclutch.com.au

    Ben Turner

    Director of Conference Production
    For speaking opportunities & content enquiries.
    ben@weareclutch.com.au

    Taylor Stanyon

    Director of Operations
    For event-related enquiries.
    taylor@weareclutch.com.au