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Mobile Android","description":"<p><strong>Why this role exists:</strong></p><p>The AI Engineer orchestrates the technical agents that produce code, tests, documentation and design mock-ups within a pod delivery model. The role translates product specifications into functional instructions for AI agents, running multiple agent workstreams in parallel across standard-complexity work while holding the pre-production commit gate for routine changes.</p><p>The role evolves how engineering is executed. AI agents carry a significant share of test generation, documentation and code execution, while the AI Engineer remains fully accountable for system design judgement, code review, quality and all commitments to production. 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fit before commit.</li><li>Escalate complex, high-risk or major architectural changes to the Senior AI Engineer or Principal AI Engineer for higher-level review.</li></ul><p><strong>Context, Documentation and Knowledge Management:</strong></p><ul><li>Verify that technical documentation exists and is accurate, maintaining documentation as an active input to subsequent agent runs rather than an after-the-fact record.</li><li>Maintain knowledge artefacts for workstreams so future code and agent outputs draw on detailed, reusable domain context over time.</li><li>Contribute domain knowledge back to shared context repositories in line with central standards managed by Context Engineers.</li><li>Maintain clear system provenance to distinguish agent-generated components from human-authored code.</li></ul><p><strong>Production Support and Continuous Improvement:</strong></p><ul><li>Identify, troubleshoot and resolve reported defects and incidents promptly across the platform domains the pod touches, including participation in on-call rotations.</li><li>Support and maintain existing platforms, integrations and legacy services alongside agent-based delivery flows during technical transition periods.</li><li>Execute production verification testing during post-deployment and hypercare periods, confirming release quality before handover to steady-state support.</li><li>Report observed drift, hallucinations or specification failures in agent tooling to Agent Integrity Engineers.</li></ul><p><strong>Who you will be working with:</strong></p><ul><li>Product Orchestration: Clarify specification intent and raise technical feasibility or workstream sequencing considerations with Product Orchestrators.</li><li>Engineering Leadership: Seek higher-level review for complex or high-risk changes from Senior AI Engineers, Principal Domain Engineers, and Associate Engineering Managers.</li><li>Architecture and Context Teams: Apply platform context libraries and feed domain knowledge back to Context Engineers, Solution Architects and Domain Architects.</li><li>Platform and Integrity Specialists: Report agent drift or hallucination to Associate AI Agent Evaluation Engineers and collaborate with Platform Engineers on workflows and permissions</li></ul><p><strong>What success looks like:</strong></p><ul><li>Workstream Throughput: High throughput of reviewed and committed work delivered through parallel multi-agent workstreams.</li><li>Commit Gate Quality: High review quality with minimal defects escaping to production, backed by rigorous verification.</li><li>Context Artefact Accuracy: High standard of accurate, reusable documentation and context artefacts that continuously improve subsequent agent runs.</li><li>Platform Stability: High stability, supportability, and swift issue resolution across owned platform domains and legacy components.</li></ul><p>Demonstrates behaviours aligned to Officeworks’ values, contributing to a respectful, inclusive and high-performing culture.</p><p><strong>How you will lead:</strong></p><p><strong>Individual Contributor:</strong></p><ul><li>Lives our Officeworks values and behaviours</li><li>Proactively contributes to a safe working environment, escalates appropriately if there are unsafe conditions or inappropriate behaviour</li><li>Operates in line with applicable Officeworks company policies and Code of Conduct</li><li>Demonstrates a strong sense of personal accountability and curiosity to learn and develop</li><li>Contributes to an inclusive and respectful environment where diverse perspectives are valued and everyone feels safe to speak up and belong</li></ul><p><strong>Qualifications and work experience:</strong></p><p><strong>Essential:</strong></p><ul><li>Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field.</li><li>Experience: 6-8 years of software engineering experience, combining <strong>full-stack development</strong> with hands-on software <strong>quality 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