Key responsibilities
Take the requirements and redesigned workflows from the AI Workflow Analyst and turn them into full technical designs.
Design how agents are orchestrated and how they connect to systems, data and the points where a human steps in.
Set and look after the enterprise patterns, standards and reusable building blocks for agent design.
Design with security first: least-privilege access, a explicit split between orchestration and system execution, and secure prompt handling.
Make sure solutions line up with Client Airport’s AI governance, including the AI Register, AI Impact Assessments, risk-tiered controls, ISO 42001 and the Australian Voluntary AI Standards.
Guide and quality-check the AI Developers, review builds for reliability, scalability and compliance, and make the build-or-buy and platform calls.
Skills & experience required
At least eight years in solution or software architecture, including AI or machine learning, automation or integration-heavy work.
A track record designing enterprise integrations across several systems, using APIs, events and data pipelines.
Hands-on knowledge of AI and agent platforms such as Azure AI or Azure OpenAI, Microsoft Copilot Studio or Power Platform, and agent-orchestration frameworks.
A solid security architecture background covering identity, least privilege and data protection.
Experience setting reusable patterns, standards and reference architectures for a delivery team to follow.
The judgement to balance speed of delivery against reliability, scalability and governance.
Explicit communication that bridges business needs and technical design and carries stakeholders along.
An architecture certification such as Azure Solutions Architect Expert.
Experience with responsible-AI or AI governance frameworks (ISO 42001, NIST AI RMF).
A background in aviation, operations or another regulated or critical-infrastructure setting.
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