About Minfy Minfy is an applied AI and technology services company. We help enterprises and public-sector organisations move from cloud and data foundations to production-scale AI.

We provide advisory, engineering, implementation and managed operations services. Our teams modernise technology, build intelligent applications, unlock enterprise data and run mission-critical systems.

We combine deep cloud, data and engineering expertise with our own architectures, governance frameworks and industry solutions, including mTRUST7, mVISTA and mPRISMA. Alliances with leading global cloud and AI providers back this work.

Founded in 2016, Minfy serves Fortune Global 500 companies, public-sector organisations and high-growth businesses across North America, India and Asia-Pacific. We currently support customers in the US, ANZ, Singapore, Malaysia and India.

Minfy is recognised as a Leader and Star Performer in Everest Group's AWS Services PEAK Matrix® Assessment 2025, and as a Seasoned Vendor in AIM Research's PeMa Quadrant for GenAI Service Providers 2026. Our aim is to be the trusted partner for dependable, scalable and operational enterprise AI.

The role You will own the cloud-native data and AI platforms our ANZ customers run enterprise AI on, from architecture through delivery and day-to-day operations.

This is a hands-on leadership role. You will set the technical direction, lead the engineering teams that build it, and be the senior technical voice in the room with customers, partners and our own leadership. You will help move customers from pilots to AI that runs reliably in production, with the security, governance and cost discipline that regulated ANZ organisations expect.

What you'll do Platform architecture and roadmap

- Lead the architecture, design and delivery of cloud-native data and AI platforms for enterprise-scale AI initiatives.
- Define and own platform roadmaps that link customer outcomes to engineering priorities.
- Guide how data pipelines,



ML/AI services and analytics tools fit together into one coherent platform.

Engineering leadership

- Lead, grow and mentor engineering teams across cloud, data, ML and platform disciplines.
- Set engineering standards for security, reliability, observability and governance, and hold the team to them.
- Make the hard technical calls on complex programmes and unblock delivery when it matters.

Production AI and operations

- Make sure AI workloads deploy, scale and run reliably in production, from model serving to monitoring.
- Optimise platform performance and cloud cost, with clear measures the customer can see.
- Ensure platforms meet industry, regulatory and organisational policies, including Australian privacy and security obligations.

Customers, partners and stakeholders

- Act as the senior technical lead with customer executives and engineering leaders.
- Coordinate cross-functional stakeholders (delivery, sales, managed services, security) so deployments land well and keep running.
- Work closely with our cloud and AI alliance partners on joint solutions and programmes.
- Support pre-sales: shape solutions, review proposals and join key customer conversations.

Thought leadership

- Build and share best practice in cloud, data and AI engineering, including reference architectures and reusable accelerators.
- Represent Minfy at customer workshops, partner events and industry forums.

What you'll bring
- A strong foundation in computer science: software engineering principles, distributed systems and cloud-native architectures.
- Data science and analytics experience,



with the ability to design and operate data platforms, pipelines and analytical solutions.
- Hands-on machine learning and pattern recognition expertise, including deploying, scaling and monitoring ML models in production.
- Proven leadership of engineering teams: setting technical direction and delivering complex cloud and data platform projects.
- Deep experience with major cloud providers (AWS, Azure, GCP), infrastructure as code, CI/CD and observability tools.
- Working knowledge of data governance, security, compliance and MLOps for enterprise-scale AI.
- Excellent communication and stakeholder management, with the confidence to work with customer executives and translate technical choices into business outcomes.
- Full working rights in Australia, and the ability to work in office in Greater Sydney.

Nice to have
- AWS Professional or Specialty certifications (e.g. Solutions Architect Professional, Data Analytics, Machine Learning), or the Azure or GCP equivalents.
- Hands-on experience with generative AI and agentic systems in production: retrieval-augmented generation, LLM evaluation and guardrails.
- Experience in ANZ financial services, government, media or energy and utilities, and with frameworks such as APRA CPS 234, the Privacy Act 1988 or the Essential Eight.
- A background in consulting or technology services, including pre-sales and statement-of-work scoping.
- A public profile as a speaker, writer or community contributor in cloud, data or AI.

Why join Minfy
- Build the ANZ platform engineering practice at a growing applied AI company, with real influence over how it is shaped.
- Work on production AI for Fortune Global 500 companies, public-sector organisations and high-growth businesses, not just pilots.
- Use proprietary solutions such as mTRUST7, mVISTA and mPRISMA, and work closely with leading cloud and AI partners.
- Join a global team across the US, ANZ, Singapore, Malaysia and India.

📌 Director, Cloud, Data and AI Platform Engineering Lead (Southern Sydney)
🏢 Minfy
📍 Southern Sydney