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

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 development, performance tuning, and feedback loops for continuous improvement., It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe! Put your best foot forward:

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• 10+ years in software architecture , enterprise AI engineering
• 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.)
• 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 related field

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $172,500 – $306,625 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $211,800 - $306,625 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado