Sr. AI System Architect

Adobe • San Jose, CA

13d

About The Position

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! The Opportunity We are seeking a strategic and technically skilled Senior AI System Architect to bridge the gap between complex business needs and advanced AI system design. You will play a pivotal role in translating use cases into scalable, intelligent solutions—leading the design of agent-based workflows, data pipelines, and orchestration systems tailored to enterprise applications.

Requirements

• 5+ years in software architecture, solution engineering, or enterprise AI
• Experience designing and deploying AI/LLM systems (e.g., OpenAI, Claude, RAG stacks, vector databases)
• Strong understanding of conversational AI, agents, orchestration (LangChain, AutoGen, Semantic Kernel, etc.)
• Familiarity with cloud platforms (AWS/GCP/Azure), containerization (Docker/K8s), and CI/CD
• Excellent communication and collaborator engagement skills

Nice To Haves

• Experience with multi-agent systems, tool calling, or autonomous workflows
• Understanding of enterprise data governance, security, and compliance
• Prior work with domain-specific AI solutions (e.g., finance, legal, HR, customer service)
• Bachelor's or Master’s in Computer Science, Engineering, or related field

Responsibilities

• Translate business goals into AI architecture: Collaborate with customers and team members to understand needs, assess feasibility, and define system scope.
• Design AI agents and orchestration workflows: Create end-to-end blueprints for multi-agent systems to support real-time, multi-turn interactions across business functions.
• Define data and RAG architecture: Specify data requirements and retrieval-augmented generation (RAG) configurations to ensure context-aware, grounded responses.
• Author technical specifications: Produce clear, detailed documentation for LLM-based solutions, including APIs, tools, prompt logic, and agent capabilities.
• Collaborate across teams: Work with ML engineers, product teams, and customer collaborators to align implementation with technical and business strategy.
• Ensure scalability and reliability: Design solutions that are modular, maintainable, and resilient across enterprise environments.
• Lead POCs and solution validation: Guide prototype development, performance tuning, and feedback loops for continuous improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees