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описание
The Agent Development Platform is a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. It standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, with authorization, security, quality, and governance controls for interactions between agents.
задачи
Lead the architecture of the policy engine and Cedar policy schema across the platform
Define authorization models for agent-to-agent capability advertisement and invocation
Drive enterprise InfoSec review processes and align them with ARB requirements
Establish default-deny authorization patterns for agent interactions
Integrate identity-aware authorization using OAuth 2.0, JWT, and MS Entra
Build and maintain policy-as-code patterns to standardize governance across agent development teams
Oversee audit logging for policy decisions and enforcement outcomes
Guide staged policy enforcement rollouts, from monitoring to full enforcement
Collaborate with engineering teams to reason about trust boundaries between interacting agents
требования
5+ Years of experience in cloud security or identity engineering
Hands-on experience with authorization or policy-as-code for AI agents in a production agentic AI project, such as Cedar/OPA policy engines enforcing agent-to-agent boundaries, capability/agent-card discovery, or default-deny agent authorization models
Expertise in identity-aware authorization, including OAuth 2.0, JWT token inspection and claims mapping, and OIDC
Skills in RBAC and ABAC design patterns
Experience with policy-as-code (Cedar, OPA) or demonstrable A2A protocol depth, including agent identity, capability/agent-card discovery, and trust boundaries between interacting agents
Experience leading enterprise security review processes, including InfoSec and ARB workflows
Knowledge of AWS AgentCore Policy and Cedar policy language (principals, actions, resources, conditions)
Proficiency in English at a B2+ level
Будет плюсом: Familiarity with Cedar or AWS Cedar (open source), practical familiarity with policy-decision-point patterns including request evaluation against declarative rules, default-deny models and staged rollout from LOG_ONLY to ENFORCE, early experience with AWS Verified Permissions or AgentCore Policy, cloud-native AWS exposure, skills in zero-trust architecture design
