AI / Data Solution Architect
Sydney, Australia On-site
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About the role
We're looking for an experienced AI / Data Solution Architect who can bridge business and technology, helping clients design practical, scalable AI solutions that integrate seamlessly into their existing data and technology environments. As an AI / Data Solution Architect, you will work alongside clients to understand their business objectives, technology landscape and data environment, translating AI opportunities into practical solution architectures that are secure, scalable and aligned with enterprise objectives. Working closely with business stakeholders, delivery teams, AI specialists and governance consultants, you'll help design architecture that enables AI solutions while ensuring appropriate consideration of data, privacy, security, integration and governance requirements. This is a client-facing consulting role suited to someone who enjoys balancing strategic thinking with practical delivery and can communicate complex technical concepts in clear business language.
What you'll bring
- 8+ years' experience in solution architecture, data architecture, integration architecture, AI architecture, cloud architecture or related technical consulting roles.
- 3+ years' experience delivering AI, machine learning, analytics, automation or modern data platform initiatives.
- Demonstrated experience designing solutions that connect business processes with enterprise data platforms, applications and integration layers.
- Strong understanding of data architecture, data modelling, APIs, integration patterns, data movement and platform dependencies.
- Experience working with modern cloud and data platforms such as Snowflake, Microsoft Azure, AWS, Google Cloud Platform or equivalent technologies.
- Experience assessing technical feasibility, architecture risks, implementation dependencies and delivery considerations for emerging technology initiatives.
- Strong understanding of enterprise architecture principles, solution design and cloud-native architectures.
- Experience working across business, technology, data, security, privacy and governance stakeholders.
- Excellent consulting and stakeholder engagement skills with the ability to communicate complex technical concepts clearly.
- Ability to develop pragmatic architecture artefacts that support decision-making and delivery.
- Experience working within consulting, advisory, transformation or enterprise technology delivery environments.
- Financial services or other highly regulated industry experience would be highly regarded.