1 week ago

AI Strategy & Solution Architect

Avanade

Melbourne

1 week ago

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Avanade is seeking an AI Architect in Melbourne to lead the design and delivery of enterprise-scale AI, Generative AI, and Agentic AI solutions. The role requires deep expertise in Azure AI technologies, AI agents, enterprise architecture, and modern data platforms, combined with strong consulting and leadership capabilities. Australian citizenship is required.

Core AIOn-siteFull-timeEntry LevelAzure AI FoundryAzure OpenAI

AI Strategy & Solution Architect

Apply

Core AIOn-siteFull-timeEntry LevelAzure AI Foundry

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

On-site

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

Azure AI FoundryAzure OpenAIMicrosoft FabricDatabricksAzureAI AgentsAgentic frameworksRetrieval-Augmented Generation (RAG)Vector databasesEmbeddingsSemantic searchLLMsPrompt engineeringMLOpsLLMOps

Soft Skills

ConsultingStakeholder engagementSolution leadershipCommunicationMentoringCommercial awareness

Preferred Qualifications

Technical (Nice-to-have)

Microsoft AI certificationsAzure certifications

Key Responsibilities

•Lead AI discovery workshops and help clients identify high-value AI and Agentic AI opportunities.
•Define AI transformation roadmaps aligned to business goals, operating models, and technology strategy.
•Architect enterprise AI platforms and solutions leveraging Azure AI Foundry, Azure OpenAI, Microsoft Fabric, Databricks, and Azure services.
•Provide executive-level guidance on AI adoption, governance, risk, and business value realization.
•Design AI Agent ecosystems that support planning, reasoning, tool usage, workflow orchestration, and autonomous execution.
•Define architectures for multi-agent systems, enterprise copilots, digital assistants, and intelligent automation solutions.
•Architect Retrieval-Augmented Generation (RAG), enterprise knowledge systems, semantic search, memory patterns, and contextual grounding strategies.
•Establish scalable approaches for integrating AI Agents with enterprise applications, data sources, and business processes.
•Lead solution design activities across AI Engineers, Data Engineers, Software Engineers, and Architects.
•Define reference architectures, reusable accelerators, development standards, and engineering best practices.
•Guide teams on architecture decisions, scalability, security, performance, observability, and operational readiness.
•Support major pursuits, proposals, solution estimates, and architecture reviews.
•Define Responsible AI, security, privacy, and governance controls for enterprise AI solutions.
•Ensure AI solutions align with regulatory, compliance, and organizational risk requirements.
•Establish evaluation, monitoring, and AI quality assurance frameworks.
•Drive adoption of MLOps, LLMOps, and AI operational excellence practices.
•Act as trusted advisor to C-level executives, technology leaders, and business stakeholders.
•Communicate complex technical concepts clearly to both technical and non-technical audiences.
•Lead architecture discussions, executive presentations, and steering committee engagements.
•Mentor architects and engineers while contributing to Avanade's AI thought leadership.

AI ArchitectGenerative AIAgentic AIAzureEnterprise ArchitectureIT ServicesConsultingMelbourneFull-timeAustralian Citizenship

Core Qualifications

Technical (Must-have)

Azure AI FoundryAzure OpenAIMicrosoft FabricDatabricksAzureAI AgentsAgentic frameworksRetrieval-Augmented Generation (RAG)Vector databasesEmbeddingsSemantic searchLLMsPrompt engineeringMLOpsLLMOps

Soft Skills

ConsultingStakeholder engagementSolution leadershipCommunicationMentoringCommercial awareness

Key Responsibilities

•Lead AI discovery workshops and help clients identify high-value AI and Agentic AI opportunities.

•Define AI transformation roadmaps aligned to business goals, operating models, and technology strategy.

•Architect enterprise AI platforms and solutions leveraging Azure AI Foundry, Azure OpenAI, Microsoft Fabric, Databricks, and Azure services.

•Provide executive-level guidance on AI adoption, governance, risk, and business value realization.

•Design AI Agent ecosystems that support planning, reasoning, tool usage, workflow orchestration, and autonomous execution.

•Define architectures for multi-agent systems, enterprise copilots, digital assistants, and intelligent automation solutions.

•Architect Retrieval-Augmented Generation (RAG), enterprise knowledge systems, semantic search, memory patterns, and contextual grounding strategies.

•Establish scalable approaches for integrating AI Agents with enterprise applications, data sources, and business processes.

•Lead solution design activities across AI Engineers, Data Engineers, Software Engineers, and Architects.

•Define reference architectures, reusable accelerators, development standards, and engineering best practices.

•Guide teams on architecture decisions, scalability, security, performance, observability, and operational readiness.

•Support major pursuits, proposals, solution estimates, and architecture reviews.

•Define Responsible AI, security, privacy, and governance controls for enterprise AI solutions.

•Ensure AI solutions align with regulatory, compliance, and organizational risk requirements.

•Establish evaluation, monitoring, and AI quality assurance frameworks.

•Drive adoption of MLOps, LLMOps, and AI operational excellence practices.

•Act as trusted advisor to C-level executives, technology leaders, and business stakeholders.

•Communicate complex technical concepts clearly to both technical and non-technical audiences.

•Lead architecture discussions, executive presentations, and steering committee engagements.

•Mentor architects and engineers while contributing to Avanade's AI thought leadership.