The Opportunity

• We are looking for a Staff Engineer to lead the technical direction of Agentic Governance in Adobe's Experience Platform team in Bucharest.
• Trust and Governance builds the services that enable Adobe Experience Platform customers to trust us with their data: access control, data usage policies and lineage enforcement, catalog, privacy and consent, audit and security capabilities such as customer-managed keys. Agentic Governance extends these foundations to AI agents: who an agent is, what it may do, and a verifiable record of what it did.
• Enterprises are putting AI agents to work on their data, and AI regulation is setting the standard for governing them. This domain is new and owned from Bucharest: you will set how agents are identified, authorized, and audited across Adobe Experience Platform, with patterns other Adobe teams adopt.

What You'll Do

• Design and build governance, security and privacy services, integrating with existing technical services.
• Drive AI-first architecture across teams: define how agents, tools and MCP servers are authenticated, scoped and observed.
• Be the domain's technical leader: lead design, architecture, security, and threat-model reviews across business units, set the test strategy and code standards, and decide on ambiguous problems.
• Use AI-assisted development responsibly, and raise the team's practice with evals, guardrails, and quality gates for the agentic components we ship.
• Mentor engineers and help shape hiring.

What You Need to Succeed

• 10+ years of professional software engineering experience, including technical leadership across teams.
• Deep, hands-on expertise in identity and authorization: OAuth 2.0/OIDC, RBAC/ABAC, and policy engines (e.g. OPA, Cedar, or comparable). Applying them to workload or agent identity is a strong plus.
• Practical knowledge of agentic systems in production, and can explain trade-offs for tools, guardrails, latency, costs and failure modes.
• Expert in Python, with working proficiency in Java.
• Lead the architecture of distributed production services on AWS and/or Azure and Kubernetes: data stores, reliability, security and observability.
• Clear written and verbal communication in English.

Preferred Qualifications

• Formal design authority or RFC authorship across organizations or business units.
• Responsible AI frameworks (NIST AI RMF, EU AI Act).
• Privacy engineering: data minimization and GDPR.
• Open-source or published work in authorization, policy or agent security.

Perks and Benefits

• Flexible work hours
• Competitive salary
• Health insurance coverage
• Paid time off
• Career development opportunities