Principal Architect — Security, Privacy and Governance in Large-scale Enterprise Agentic-AI Solutions
$248,900–$360,500 year
HybridSan Jose, California, United States
Job Summary
Define and drive the end-to-end reference architecture for AI agent authentication, authorization, and lifecycle management across Adobe's Customer Experience Platform. Own security architecture for agent-to-system interactions, including identity, least-privilege authorization, secrets mediation, and runtime isolation, while embedding privacy-by-design and compliance requirements directly into the design. Lead architectural reviews and establish standards for scalability and observability, contributing to an Architecture Review Board to ensure new capabilities meet governance bars before shipping. Serve as the senior technical authority on secure agentic AI, mentoring engineers and creating documentation and threat models for implementation teams and executive leadership. Represent the security posture to enterprise customers, regulators, and executive leadership, shaping the roadmap for governed, trustworthy AI systems.
Required Qualifications
- 20+ years of experience in software engineering or security architecture
- strong focus on distributed systems
- platform engineering
- enterprise-scale access control
- Deep understanding of agentic AI architecture patterns
- agent orchestration
- tool/function calling
- reasoning and planning loops
- multi-agent coordination
- risks specific to each
- Expert-level knowledge of identity and access management
- authorization models
- credential/secrets management
- OAuth/OIDC
- SAML
- workload identity
- policy-as-code approaches
- OPA/Rego
- Cedar-class engines
- Demonstrated ability to lead ambiguous initiatives involving multiple functions across security, product, legal/privacy, and infrastructure teams
- influence org-wide standards without direct authority
- min. 3-4 days/week onsite
- Full-time
Desired Qualifications
- Practical experience with agent-lifecycle governance
- audit evidence generation
- anomaly/incident response for autonomous systems
- Familiarity with privacy and compliance frameworks relevant to AI systems
- data residency
- consent management
- sectoral regulatory expectations for automated decision-making
- Experience building or governing developer platforms
- cloud-native services
- streaming data platforms
- Kafka
- Spark
- at enterprise scale
- Advanced degree (M.S. or Ph.D.) in Computer Science, Security, or related technical field
- Experience standing up or contributing to an enterprise Architecture Review Board
- equivalent governance function
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