Sr. Systems Design/Architecture Engineer

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

We are seeking a seasoned Systems Design/Architect to join our Business Architecture team, with a dual focus: delivering enterprise-grade systems architecture and leading the design of AI powered business systems. This role is ideal for someone who thrives at the intersection of technical innovation, business strategy, and operational excellence.

You will collaborate with product development, engineering, UX, and business associates to outline and deploy scalable, resilient, and observable solutions that bolster our worldwide, multi-product business.

What you'll Do 

• Drive our innovation strategy and roadmap for addressing high priority opportunities.

• Work with Product, Engineering, Digital Media Business Unit, UX, and others to deliver new innovative solution features.

• Define AI performance targets and business impact metrics.

• Partner with our internal customers to develop closed‑loop learning systems for continuous AI optimization.

• Advocate for responsible AI practices and educate interested parties on emerging AI trends.

What you need to succeed 

Required

• 7+ years of experience in solution architecture or enterprise systems design.

• Strong understanding of architecture design principles, cloud-native patterns, and business process optimization.

• Demonstrated experience with business applications powered by AI and familiarity with:

  • Knowledge graphs, vector databases, language models.

  • AI integration patterns (RAG, embeddings, prompt engineering).

  • Agentic AI protocols (MCP, A2A, OAP)

• Strong cloud architecture literacy (Azure/AWS/GCP) and AI services (Azure OpenAI, AWS Bedrock, Vertex AI).

• Familiarity with enterprise SaaS platforms (Salesforce, MS Dynamics, SAP, Gainsight).

• Excellent visual and written communication; comfortable presenting AI strategies to VP+

 Preferred

• Experience in a global, multi-brand enterprise with both B2C and B2B customer models.

• Experience implementing AI in marketing, sales, customer success, and support.

• Familiarity with AI IDEs (e.g. Cursor, Replit), enterprise AI search / RAG (e.g. Glean), open-source frameworks (e.g. LangChain), agentic frameworks (e.g. CrewAI), cloud bot/agent services (e.g. Vertex AI, Amazon Lex)

Key Responsibilities:

Core Architecture & Innovation

• Drive architectural design for multiple initiatives, ensuring scalability, performance, and resilience.

• Develop proof-of-concept solutions and validate them with customers.

• Participate in Architecture Review Boards (ARBs) and maintain architecture documentation.

AI for Business Applications Leadership

• Design and optimize enterprise application architecture across marketing, sales, customer success, and support.

• Apply advanced capabilities, such as predictive analytics, generative technology, conversational tools, and intelligent automation, to improve customer engagement, revenue growth, and operational efficiency.

• Ensure compliance and ethical AI practices, including alignment to global data privacy regulations (GDPR, CCPA) and responsible AI governance frameworks.

Multi-functional Collaboration

• Translate business goals into scalable technical solutions.

• Partner with product managers, engineers, and UX designers to deliver innovative features.

• Advocate for adoption of new technologies and architectural improvements across teams.

Success Metrics:

• Delivery of scalable and resilient architecture aligned with business goals.

• AI use cases prioritized; architecture standards updated for AI components.

• AI func