AI Architect

The Opportunity

We're looking for an AI Architect to help enterprise clients responsibly design, deploy, and scale generative AI and agentic capabilities across Adobe Experience Cloud. This is a client-facing, technical advisory role — not hands-on model training or research — for someone who can blend deep architecture expertise with business acumen and executive presence.

You'll partner with Adobe consultants and client stakeholders to assess AI/LLM readiness, define governance and roadmaps, and guide the architecture behind RAG systems, AI agents, and LLM-powered features — all while building trusted advisor relationships that extend beyond a single project.

What you’ll do:

Enterprise & AI Architecture

• Serve as lead technical point of contact across multiple concurrent customer engagements
• Design enterprise architectures and roadmaps incorporating RAG, AI agents, and automated workflows
• Assess clients' current architecture and AI/LLM readiness, and identify gaps to their target state
• Align business strategy, IT roadmaps, and delivery teams building AI-powered features

AI Governance, Risk & Quality

• Define governance models covering data privacy, consent, access controls, and responsible-AI guardrails
• Advise on evaluation 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

Advisory, Enablement & Communication

• Engage marketers, analysts, developers, data scientists, and C-level execs via workshops and deliverables
• Provide enablement and coaching on product features and AI optimization
• Translate LLM architecture concepts into clear technical writing and executive presentations
• Manage expectations, scope, and timelines across engagements

What you bring:

• 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 prompt 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 design/integration fluency across LLM and cloud-native services
• Experience with Agile/Scrum/Waterfall delivery methodologies
• Working knowledge of HTML, JavaScript, XML, Java, REST, and services-based architecture
• 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

Nice to Have:

• Experience with Adobe Customer Journey Analytics (CJA) and Adobe Journey Optimizer (AJO)
• Hands-on experience building/reviewing AI agents, or LLM evaluation & observability tools (e.g., LangSmith, Datadog)
• Deep vertical industry experience (Retail, Media, Financial Services, High Tech)
• Relevant Adobe certifications (AEM, Adobe Analytics, Experience Platform Architect)
• Familiarity with consent/privacy platforms and regulations (GDPR, CCPA)