1 day ago

AI Strategy & Solution Architect

Avanade

Brisbane

1 day ago

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As an AI Architect at Avanade, you will lead the design and delivery of enterprise-scale AI, Generative AI, and Agentic AI solutions. You will work at the intersection of business strategy, solution architecture, data platforms, and AI engineering to define AI roadmaps, architect intelligent systems, and guide multidisciplinary teams from concept through production. The ideal candidate combines deep expertise in Azure AI technologies, AI Agents, Agentic frameworks, enterprise architecture, and modern data platforms with strong consulting, stakeholder engagement, and solution leadership capabilities.

Core AIRemoteFull-timeEntry LevelAIGenerative AI

AI Strategy & Solution Architect

Apply

Core AIRemoteFull-timeEntry LevelAI

Salary

Not specified

Work Location

Brisbane, Queensland, Australia, AU

Work Model

Remote

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

AIGenerative AIAgentic AILLMsPrompt EngineeringAI evaluationAgent architecturesReasoning frameworksAI AgentsAgentic workflowsAutonomous systemsRAGEmbeddingsVector databasesSemantic searchEnterprise knowledge platformsMicrosoft AzureAzure AI FoundryAzure OpenAIMicrosoft FabricDatabricksAzure servicesCloud-native solutionsOrchestrationMemory managementTool integrationMulti-agent collaborationData architecturesData engineeringData governanceMetadataKnowledge managementEnterprise data platformsFabric LakehouseAzure Data PlatformEnterprise information managementMLOpsLLMOpsAI operational excellenceResponsible AISecurityPrivacyGovernanceArchitectureSolution designStakeholder engagementCommercial awarenessEstimationProposal developmentDistributed teams

Soft Skills

ConsultingStakeholder engagementSolution leadershipCommunicationMentoringThought leadership

Preferred Qualifications

Technical (Nice-to-have)

Microsoft AI certificationsAzure certificationsRegulated industries experienceEnterprise transformationOperating model change

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 ArchitectAzureGenerative AIAgentic AIEnterprise ArchitectureData PlatformsConsultingRemoteFull-timeAustralia

Core Qualifications

Technical (Must-have)

Soft Skills

ConsultingStakeholder engagementSolution leadershipCommunicationMentoringThought leadership

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.