Adobe-posted 4 days ago
Full-time • Mid Level
San Jose, CA
5,001-10,000 employees

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! Position Summary Adobe is seeking a collaborative, curious, and customer-centered Expert Solution Consultant to help build the future of Adobe Agent Orchestrator (AO), our next-generation agentic architecture enabling intelligent, multi-agent workflows across the Experience Cloud. This role is ideal for individuals who enjoy simplifying complex technology, guiding diverse stakeholders, and helping organizations confidently adopt AI. We encourage applicants from a range of backgrounds across pre-sales, architecture, AI strategy, engineering, or adjacent technical fields, including those with non-traditional career paths. As a senior advisor and thought partner, you will work closely with Sales, Product, Engineering, and Customer teams to articulate AO’s value, explore architectural patterns, guide adoption, and support responsible enterprise implementation.

  • Technical Expertise & Architecture Leadership Serve as a knowledgeable and approachable expert on AO architecture and best practices.
  • Explain how Large Language Models (LLMs) and AO’s reasoning engine function, including optimization and deployment considerations.
  • Explain how customers should adopt best practices inclusive of what type of data should be included to train our models, governance and privacy advisement.
  • Translate multi-agent system designs into clear stories and diagrams that resonate with both technical and non-technical audiences.
  • Multi-Agent Roadmap & Strategy Provide customer-informed insights to Product and Engineering teams to help develop AO’s roadmap.
  • Communicate AO’s evolution across Experience Cloud and how it supports AI-first operating models.
  • Work within Adobe’s Digital Strategy group to help create and prsent to organizations understand capability sequencing, maturity milestones, and readiness considerations.
  • Governance & Responsible AI Offer guidance on enterprise AI governance, including guardrails, auditability, human-in-the-loop approaches, and risk considerations.
  • Collaborate with security, compliance, and IT partners to ensure responsible use and alignment with corporate and industry standards.
  • Agent-to-Agent (A2A) & External MCP Flows Support customers in understanding A2A orchestration concepts such as inter-agent communication, task hand-offs, and conflict resolution.
  • Explain how External MCP (Model Context Protocol) Server integrations connect AO with external tools, databases, and operational systems.
  • Customer Engagement & Pre-Sales Excellence Lead inclusive and engaging technical presentations, workshops, and discovery sessions for audiences with varied backgrounds.
  • Develop demos that showcase AO’s orchestration capabilities and real-world applications.
  • Partner with Sales to shape opportunity strategy, accelerate POVs/POCs, and navigate technical barriers.
  • Act as a trusted advisor, translating customer needs into scalable, well-governed AO architectures.
  • Internal Collaboration Partner with Product and Engineering to provide field insights, emerging use-case patterns, and opportunities for improvement.
  • Enable cross-functional teams through training, best-practice sharing, and reusable frameworks.
  • Contribute to an encouraging team culture grounded in learning, collaboration, and curiosity.
  • 7–10+ years of experience in Solution Consulting, Enterprise Architecture, AI/ML architecture, or a related technical or customer-facing field.
  • Solid understanding of LLMs, reasoning engines, retrieval systems (RAG), prompt optimization, and AI safety concepts.
  • Familiarity with multi-agent architectures or autonomous agent orchestration patterns.
  • Knowledge of MCP (Model Context Protocol), tool-integration approaches, or external server flows.
  • Experience with enterprise governance, responsible AI frameworks, or related risk-management practices.
  • Ability to communicate complex AI concepts in a clear, inclusive, and accessible manner.
  • Strong presentation, facilitation, and storytelling skills across diverse audiences.
  • Experience with Adobe Experience Platform, AJO, RTCDP, AEM, or related martech/AI ecosystems.
  • Hands-on work with LLM-powered agents, retrieval systems, or tool-based agent frameworks.
  • Familiarity with digital experience, personalization, customer journey, or marketing workflow use cases.
  • Pre-sales, consulting, or architecture experience in a SaaS environment.
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