Enterprise AI Architect

Adobe; City of Melbourne; Hybrid; AUD 180,000 - 240,000; Full time

Job summary

Adobe Australia is seeking an AI Architect to guide enterprise clients in responsibly building and deploying generative AI across Adobe Experience Cloud. This client-facing advisory role blends deep architecture expertise with business insight and executive presence.

You will evaluate AI readiness, define governance, and design RAG architectures, AI agents, and LLM-enabled features, while maintaining trusted advisor relationships across engagements.

Qualifications

• 10+ years in a client-facing role building enterprise architecture models.
• Translate business vision into technical architecture, especially for GenAI value.
• Strong communication across technical and executive audiences.
• Experience with architecture frameworks (API-first, SOA, TOGAF).

Responsibilities

• Serve as lead technical contact across multiple engagements.
• Design enterprise architectures and roadmaps with RAG, AI agents, and automated workflows.
• Assess clients' AI readiness and identify gaps to target state.
• Align business strategy with IT roadmaps and delivery teams for AI features.

Skills

Enterprise architecture

Architecture frameworks

RAG & AI agents

LLM integration

Executive communication

Client-facing

Adobe platform knowledge

Python

API-first

Education

Bachelor's or Master's in Computer Science or related field

Tools

LangChain

LlamaIndex

Pinecone

Weaviate

pgvector

Python

REST

Job description

The Opportunity

We're looking for an AI Architect to help enterprise clients responsibly build, 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 strong business insight and executive presence.

You'll collaborate with Adobe consultants and client participants to evaluate AI/LLM readiness, establish governance and roadmaps, and direct the architecture of RAG systems, AI agents, and LLM-powered features. You will also build trusted advisor relationships that last beyond one project.

Enterprise & AI Architecture

• 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 pinpoint gaps to their desired 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
• Offer recommendations on 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

Advisory, Enablement & Communication

• Engage marketers, analysts, developers, data scientists, and C-level execs via workshops and deliverables
• Provide enablement and mentoring 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 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

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)

Adobe for All

Adobe strives to create an environment where our employees can do their best work and drive their career growth and development based on their personal goals. From fair-pay practices to Employee Networks and programs designed to make everyone feel included, we're committed to fostering a diverse and inclusive workplace for all.

Adobe Australia acknowledges Traditional Custodians of Country throughout Australia and recognises the continuing connection to lands, waters and communities. We pay our respect to Aboriginal and Torres Strait Islander cultures; and to Elders past, present and emerging.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [e-mail].

AI Use Guidelines for Interviews

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.