Client Technology - Engineering - Architecture
Ernst and Young5 days ago
Sydney, AustraliaStaff+
Responsibilities
- Lead the solution and technical architecture for a major Oceania agentic AI initiative from solutioning through delivery.
- Define target-state architecture covering agent orchestration, tool and skill integration, knowledge retrieval, workflow automation, telemetry, security, and operations.
- Document architecture decisions, patterns, assumptions, risks, constraints, trade-offs, blueprints, dependency maps, and implementation guardrails.
- Assess AET, Azure, integration services, data access, knowledge retrieval, telemetry, and operational capabilities, escalating platform gaps appropriately.
- Drive rapid proofs of concept and architecture validation for trial balance cleansing, mapping, review agents, and related automation use cases.
- Establish reusable AI architecture, deployment, governance, quality, evaluation, safety, grounding, observability, and cost-management practices.
- Ensure secure enterprise data and knowledge access through appropriate identity, authorization, privacy, sovereignty, lineage, audit, and information-protection controls.
- Partner with product, engineering, data, security, risk, operations, and regional teams to produce implementation-ready designs.
- Provide hands-on architectural guidance during design, development, integration, testing, deployment, and production readiness.
- Lead architecture reviews, communicate complex technical decisions to stakeholders, mentor technical leads, and identify delivery and operational risks.
Requirements
- Working and architectural knowledge of Microsoft Azure cloud architecture across applications, integration, identity, networking, security, monitoring, and production operations.
- Knowledge of Azure AI Foundry, Azure OpenAI model consumption, prompt engineering, model governance, evaluation, and cost-aware usage.
- Experience with generative AI and agentic architecture patterns including orchestration, tool calling, workflows, memory, planning, human-in-the-loop controls, and deterministic fallbacks.
- Knowledge of Retrieval Augmented Generation, document ingestion, chunking, metadata enrichment, vector indexing, hybrid search, grounding, citations, and retrieval-quality evaluation.
- Knowledge of AI evaluation and quality practices including prompt and model evaluation, RAG assessment, hallucination testing, safety testing, regression testing, and feedback loops.
- Knowledge of enterprise integration, REST APIs, event-driven integration, workflow integration, API management, authentication, and legacy-platform integration.
- Knowledge of secure AI and data architecture, including IAM, RBAC/ABAC, private networking, encryption, secrets management, privacy, auditability, and information protection.
- Knowledge of observability, data and knowledge architecture, distributed applications, reusable APIs, cloud-native deployment, DevSecOps, infrastructure as code, automated testing, and secure release pipelines.
- Preferred experience with AET, Microsoft 365 Copilot, Copilot Studio, Beehive, TRACE, OneSource, Microsoft Agent Framework, Azure AI Search, vector databases, and enterprise document intelligence.
- Preferred experience with Azure API Management, Logic Apps, Functions, Service Bus, Event Grid, Container Apps, AKS, App Service, Key Vault, Application Insights, and Azure Monitor.
- Financial, tax, compliance, or trial-balance process knowledge and experience working across globally distributed product, engineering, architecture, regional, and country teams.
- Ability to lead architects, work with culturally diverse outsourced teams, communicate clearly with senior stakeholders, and travel domestically or internationally as required.
Benefits
- Flexible work arrangements supporting work-life balance and autonomy.
- Yearly wellness incentive and access to up to eight additional weeks of flex leave per year.
- Family-friendly policies including 26 weeks of gender-neutral paid parental leave.
- Career development through future-focused skills and globally connected experiences.
- Some work outside normal local hours may be required to collaborate with global teams, and domestic or international travel may be required.
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