Principal Architect — Distributed Systems & Agentic AI Security, Governance

Start free →

Or apply yourself on the official page →

About the role

ADOBE   -   Enterprise Customer Experience Platform   Principal Architect — Large Scale Enterprise Solutions, Agentic AI, Security, Privacy and Governance San Jose, CA (Hybrid, min. 3-4 days/ week onsite)     ·   Level: Principal    ·   Full-time   Summary   At A dobe , we are  building   enterprise-grade Agentic - AI systems that automate large-scale data access and workflow execution for business processes.   These systems not only embody foundational enterprise security and privacy   considerations   but also   provide robust and safet y-preserving capabilities in the emerging world of agent identity, delegated access   control   and human-i n-the-loop execution models.     This is a   multi -fluency role: you need the   distributed systems   and Agentic - AI depth to architect how   agents   reason, plan, and act at scale, and the security-and-compliance   mechanisms that manage safe and trustworthy execution.   You will partner with engineering, product, legal/privacy, and security leadership to turn fast-moving agentic AI   capabilities   into a governed, enterprise-ready platform .     Key Responsibilities   Agentic AI Architecture   • Define and drive the end-to-end reference architecture for how AI agents   are   authenticate d and   authorized   to   access enterprise data, tools, and systems across Adobe's   Customer   Experience Platform — covering agent lifecycle management, interaction protocols, memory/context handling, and action-execution frameworks.   • Evaluate and select frameworks, protocols, and platforms (e.g., agentic orchestration frameworks, MCP-style tool systems, policy engines such as OPA/Cedar-class authorization) that best support secure, governed multi-agent systems at Adobe's scale.   Security, Compliance & Privacy by Design   • Own the security architecture for agent-to-system and agent-to-agent interactions: identity and workload authentication, least-privilege authorization, secrets and credential mediation, network egress controls, runtime isolation, and telemetry/audit evidence sufficient to satisfy internal audit and external regulators.   • Embed privacy-by-design and compliance requirements (data governance, consent, data residency, retention) directly into the agent architecture rather than bolting them on after the fact; partner with Legal/Privacy to keep architecture decisions ahead of regulatory expectations for autonomous AI systems.   Cross-Organizational Leadership & Standards   • Lead architectural reviews and set standards for scalability, resiliency, observability, and cost efficiency — with security and compliance treated as first-class, non-negotiable design constraints rather than downstream   signoffs .   • Contribute to or lead an Architecture Review Board function for agentic AI, ensuring new capabilities are evaluated consistently against Adobe's governance bar before they ship.   Technical Leadership, Mentorship & Evangelism   • Serve as Adobe's senior technical authority and encouraging leader on secure agentic AI architecture . Mentor senior engineers and architects. Elevate security and privacy proficiency across the broader engineering organization.   • Create and   maintain   architecture documentation, decision records, and threat models that are equally useful to implementation teams and to senior leadership.   Executive & Customer Engagement   • Represent Adobe's agentic AI security and governance posture to executive leadership , enterprise customers, and — where relevant — regulators and standards bodies, with clear, bounded claims about maturity, open risks, and the evidence   required   before broader rollout.   • Provide thought leadership across the   organization   where agentic AI access governance is heading, and shape Adobe's roadmap a

View the official posting →