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Help us deliver like never before. We’re hiring an AI Architect to join our AI Architecture team. In this role, you’ll support the Principal AI Architect to design and oversee scalable, secure and compliant AI solutions aligned to our Enterprise Data & AI Reference Architecture, the blueprint that guides how data and AI solutions are implemented across the organisation. You will focus on the technical aspects of AI system architecture, working closely with data scientists, engineers, and other stakeholders to ensure that AI initiatives are executed successfully. The AI Architect will contribute to the development, integration, and optimization of AI models and systems, helping to drive the organization’s AI strategy forward. If you love translating complex business needs into practical AI architecture, and you’re excited by Generative AI and Agentic AI at enterprise scale, we’d love to hear from you. This is a fantastic opportunity to contribute to Australia Post’s Enterprise Data & AI Reference Architecture, shaping how AI is designed and implemented consistently across the organisation to minimise risk and enable modern, scalable solutions.
Job Responsibility:
Design and implement AI architectures that are scalable, secure, and aligned with Australia Post’s technology stack and Enterprise Data & AI Reference Architecture
Collaborate with the Principal AI Architect to translate business requirements into technical specifications and actionable plans
Prepare solution designs for AI initiatives and present them to relevant architecture forums for review and endorsement
Ensure all AI architecture designs adhere to AI Governance policies and standards to ensure responsible and ethical use of AI
Collaborate with cross-functional teams, including data scientists, software engineers, and IT specialists, to deliver AI projects on time and within scope
Document AI architectures, processes, and methodologies to ensure clear communication and knowledge sharing across teams
Provide regular updates and reports on project progress, risks, and outcomes to the Principal AI Architect and other stakeholders
Requirements:
Experience operating in a large, complex enterprise architecture environment
Experience aligning AI solutions to enterprise standards and governance
Strong advisory and consulting capability across AI platforms and solution design for Generative AI and agentic AI systems
Proven ability to lead end‑to‑end architecture for scalable, secure and compliant production deployments
Ability to evaluate and recommend embedded and integrated AI capabilities across the enterprise stack
Experience working hands‑on or in an advisory capacity with platforms such as Vertex AI and Gemini Enterprise
Experience with enterprise ecosystems including Salesforce, SAP and Adobe
Ability to define AI technology strategy and multi‑year roadmaps aligned to business outcomes
Experience partnering closely with business, platform, security and engineering teams
Experience with AI in specific domains such as natural language processing (NLP), computer vision, or reinforcement learning
Strong expertise in Enterprise AI Architecture, focus domains Generative AI and Agentic AI systems
Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn
Proficiency in programming languages such as Python, Java, C++
Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and AI deployment strategies
Deep knowledge of data engineering, big data technologies (e.g., Hadoop, Spark), and data governance