Senior AI Systems Architect, Brand Concierge

Adobe

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$211,800–$306,625 / yr
Posted
134 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $259k
$159k most similar roles pay here $322k

This role pays more than 73% of similar roles. Most pay $178,975–$261,725 — the shaded band above. At the midpoint, this role pays about $259k versus about $220k for comparable roles.

Based on 239 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

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At a glance

TL;DR · Senior AI Systems Architect, Brand Concierge

As a Sr. AI Systems Architect (AI/ML), Brand Concierge, you will bridge the gap between complex business needs and advanced AI system design to create scalable, intelligent solutions. You will be responsible for translating business goals into technical architectures, designing agent-based workflows, and defining data and RAG configurations to ensure context-aware responses. Your daily work involves creating end-to-end blueprints for multi-agent systems, authoring technical specifications for LLM-based solutions, and leading proof of concepts to validate performance. You will utilize technologies including OpenAI, Claude, LangChain, AutoGen, Semantic Kernel, vector databases, Docker, K8s, and cloud platforms like AWS, GCP, or Azure. The role focuses on solving the challenge of building reliable, modular, and secure enterprise-grade AI systems for multi-turn interactions across various business functions while navigating the full machine learning lifecycle from data gathering to production.

What you'll do

  • Translate complex business goals into scalable AI architectures and technical requirements.
  • Design end-to-end blueprints for multi-agent systems and orchestration workflows.
  • Define data requirements and RAG configurations to ensure context-aware, grounded responses.
  • Author detailed technical specifications for LLM solutions, including APIs, tools, and prompt logic.
  • Ensure AI solutions are modular, maintainable, and resilient across enterprise environments.
  • Lead the development of proofs of concept (POCs) and perform performance tuning.
  • Validate solution performance through continuous feedback loops and iterative improvements.

What we're looking for

  • 10+ years of experience in software architecture and enterprise AI engineering.
  • Experience designing and deploying AI/LLM systems using RAG stacks and vector databases.
  • Strong understanding of conversational AI, agentic workflows, and orchestration frameworks like LangChain or AutoGen.
  • Deep knowledge of the ML lifecycle including data gathering, training, evaluation, MLOps, and productionizing models.
  • Familiarity with cloud platforms (AWS/GCP/Azure), containerization (Docker/K8s), and CI/CD pipelines.
  • Excellent communication and collaborator engagement skills.
  • Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.

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