Enterprise AI Architect

Adobe

. Serve as lead technical point of contact across multiple concurrent customer engagements .

Posted 9/22/2026full-timeMelbourne • AustraliaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building enterprise architectures and roadmaps that leverage AI technologies, ensuring alignment with business strategies and IT delivery teams. Proficient in translating complex technical concepts into actionable insights for diverse stakeholders, while maintaining a focus on governance and security in AI implementations.

Highest-signal resume keywords

Enterprise Architecture ModelsAI Security ArchitecturePython LiteracyArchitecture FrameworksClient-Facing Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI AgentsRAGLLM IntegrationAPI Build/IntegrationHTMLJavaScriptJavaRESTAgile/Scrum/WaterfallData Privacy Governance

Soft Skills

Strong Communication SkillsMentoringRelationship Building

Tools & Technologies

Adobe Experience ManagerAdobe Experience PlatformAdobe Customer Journey AnalyticsAdobe Journey OptimizerAzureAWSLangChainPineconeWeaviatePgvector

Certifications & Qualifications

Relevant Adobe Certifications

Industry Keywords

Client EngagementAI OptimizationData PrivacyConsent PlatformsVertical Industry Experience

Tech Stack

Tools & technologies

AEMAWSAzureCloudJavaJavaScriptPython

About the role

Key responsibilities & impact

Serve as lead technical point of contact across multiple concurrent customer engagements
Build enterprise architectures and roadmaps incorporating RAG, AI agents, and automated workflows
Evaluate clients' existing architecture and AI/LLM preparedness and identify gaps to the desired state
Align business strategy, IT roadmaps, and delivery teams building AI-powered features
Define governance models covering data privacy, consent, access controls, and responsible-AI guardrails
Recommend measurement frameworks for AI output quality, accuracy, cost, and latency
Advise on AI security architecture, including prompt-injection defenses
Document reference architectures for RAG, agent orchestration, and LLM integration patterns
Engage marketers, analysts, developers, data scientists, and C-level executives through workshops and deliverables
Provide enablement and mentoring on product features and AI optimization
Translate LLM architecture concepts into technical writing and executive presentations
Manage expectations, scope, and timelines across engagements
Build trusted advisor relationships with enterprise clients

Requirements

What you’ll need

10+ years in a client-facing role with a track record building enterprise architecture models
Ability to translate business vision into technical architecture, including where GenAI drives real value
Strong communication skills across technical and executive audiences
Experience with architecture frameworks (API-first, SOA, TOGAF)
Strong understanding of Adobe Experience Manager, Adobe Experience Platform, and Experience Cloud
Working knowledge of RAG, AI agents, and timely engineering for accuracy, cost, and latency
Familiarity with an LLM orchestration framework (e.g., LangChain, LlamaIndex) and vector databases (e.g., Pinecone, Weaviate, pgvector)
Strong Python literacy and API build/integration proficiency across LLM and cloud-native services
Experience with Agile/Scrum/Waterfall delivery methodologies
Practical experience with HTML, JavaScript, XML, Java, REST, and architecture based on services
Understanding of Azure and/or AWS, including native LLM offerings (Azure OpenAI, Amazon Bedrock)
Bachelor's or master's in Computer Science or related field, or equivalent experience
Experience with Adobe Customer Journey Analytics (CJA) and Adobe Journey Optimizer (AJO) is nice to have
Hands-on experience building/reviewing AI agents, or LLM evaluation & observability tools is nice to have
Deep vertical industry experience is nice to have
Relevant Adobe certifications are nice to have
Familiarity with consent/privacy platforms and regulations is nice to have

Benefits

Comp & perks

Fair-pay practices
Employee Networks and inclusion programs
Career growth and development opportunities
Reasonable accommodation for disabilities
Comprehensive benefits programs