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NEXTMOVEFDE careers · United States
Adobe

Sr. AI Systems Architect (AI/ML), Brand Concierge

AI summary of the role

This is a senior individual contributor role designing AI agent systems and orchestration workflows for enterprise applications at Adobe.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Translate business goals into AI architecture by collaborating with customers and team members
  • Design AI agents and orchestration workflows for multi-agent, real-time interactions
  • Define data and RAG architecture for context-aware, grounded responses
  • Author technical specifications for LLM-based solutions including APIs and prompt logic

What you’ll bring

  • 10+ years in software architecture, enterprise AI engineering
  • Experience designing and deploying AI/LLM systems (OpenAI, Claude, RAG stacks, vector databases)
  • Strong understanding of conversational AI, agents, orchestration (LangChain, AutoGen, Semantic Kernel)
  • Deep understanding of ML lifecycle from data gathering to productionizing models

Technologies

OpenAI · Claude · RAG · vector databases · LangChain · AutoGen · Semantic Kernel · AWS · GCP · Azure · Docker · Kubernetes

About Adobe

Builds creative, document, and enterprise customer-experience software, now embedding Firefly AI and agents across creator and marketer workflows.

Public · 5000+ people

Source and classification

Technical pre-sales · Evidence for this classification:

The Opportunity We are seeking a strategic and technically skilled Senior AI Systems 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. What you'll Do 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.
More from the job description

The Opportunity We are seeking a strategic and technically skilled Senior AI Systems 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. What you'll Do 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 dev [... source excerpt omitted ...] hestration (LangChain, AutoGen, Semantic Kernel, etc.) Deep understanding of modern ML techniques and the ML lifecycle from data gathering, training, model evaluation, MLOps, and productionizing models. Familiarity with cloud platforms (AWS/GCP/Azure), containerization (Docker/K8s), and CI/CD Excellent communication and collaborator engagement skills Preferred Qualifications 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 , Master’s, PhD in Computer Science, Engineering, or relat [... source excerpt omitted ...] ct. 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 disabi

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