Client Technology - Engineering - Architecture

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Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through architecting an AI-enabled agentic solutions for professional services delivery that are integral to innovation at scale. You will work with technologists and business specialists, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As part of a strategic team, you will lead the solution architecture for one of the major Oceania agentic solution initiatives, modernizing and integrating multiple existing products used in GCR professional services delivery. Reporting into the OCTO Lead Architect, you will collaborate closely with product, engineering, data, security, and regional teams to ensure solutions are pragmatic, scalable, and aligned with global Tax and Client Technology strategy. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.   The opportunity We are looking for a Lead AI Architect to own the solution architecture for a major Oceania agentic initiative that will modernize, agentify, and integrate multiple existing products used in local and global GCR professional services delivery for one of Oceania’s largest clients. This role delivers pragmatic, cost-efficient solution designs that leverage generative AI, agentic patterns, and enterprise platform capabilities while ensuring alignment with global architecture standards and security requirements.   You will:

Ensure end-to-end architecture integrity of the agentic solution across business process design, AI architecture, application architecture, data/knowledge architecture, integration, security, and operations. Ensure the solution avoids unnecessary complexity while still supporting enterprise-scale reuse, extensibility, and production readiness. Define, document, and maintain architecture decisions, patterns, assumptions, risks, constraints, and trade-offs throughout the initiative. Align the Oceania agentic solution with global architecture standards, Tax technology strategy, EY security requirements, and approved AI platform direction. Clarify the boundary between business self-service, product/platform configuration, and engineering-led implementation for complex agentic capabilities. Identify platform and capability gaps in AET, Azure, integration services, data access, knowledge retrieval, telemetry, or operational support, and drive those gaps into the appropriate backlog or escalation path. Define a repeatable deployment and reuse model that enables regional adoption while reducing duplicated work, inconsistent implementations, and unmanaged local variation. Drive AI governance and quality practices, including model selection rationale, prompt and agent evaluation, safety and grounding controls, observability, cost management, and production support patterns. Ensure the architecture supports secure access to enterprise data and knowledge sources, with appropriate identity, authorization, data privacy, sovereignty, lineage, and audit considerations. Partner with engineering to ensure architecture designs are implementation-ready and can be delivered within realistic timeline, cost, and platform constraints. Produce clear stakeholder-facing architecture materials, including executive summaries, solution blueprints, decision logs, reusable pattern guidance, and implementation recommendations. Surface risks early, including unrealistic reuse assumptions, insufficient platform maturity, integration gaps, country capability differences, cost exposure, and operational readiness