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.

Responsibilities

• 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.

Qualifications

• 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).

Equal Employment Opportunity Statement

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.