Job description: AI
Solutions Architect
Client is building a digital
workforce: AI agents that carry out everyday business processes from start to
finish, rather than just drafting or summarising them. Working alongside teams
in Operations, Safety, Procurement, EPMO and Commercial, the Agentic AI program
looks for the repetitive, queue-based and approval-heavy work that fills
people’s days and rebuilds it so agents handle the routine steps while people
stay focused on the decisions that need judgement. It is being rolled out in
stages, from everyday Copilots to knowledge agents and then fully automated
workflows, with a person kept in the loop on every decision that matters and
clear governance and security around all of it.
About the role
You own the technical design for
agentic AI. Working hand in hand with the AI Workflow Analyst, you turn
business requirements into agent solutions that are secure, scalable and
reusable, and you set the patterns that let agents run reliably and stay under
central governance instead of springing up as shadow AI.
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 clear 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 strong 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.
• Clear communication that bridges business
needs and technical design and carries stakeholders along.
Desirable
• 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.
