This role involves architecting the trust layer to define how AI agents are identified, authenticated, authorized, and governed at scale
Job Summary
This role involves architecting the trust layer to define how AI agents are identified, authenticated, authorized, and governed at scale.
The successful candidate will build sophisticated multi-agent workflows to stress-test identity boundaries and simulate real-world enterprise attack scenarios.
You will own the architectural direction and long-term technical roadmap while establishing engineering standards for security and reliability.
Matching Summary
This role involves architecting the trust layer to define how AI agents are identified, authenticated, authorized, and governed at scale.
Skills & Requirements
Must-have
Distributed identity and authorization systems
Zero Trust principles for agent communication
Cryptographic identity and verifiable credentials
Kubernetes-based containerized microservices
Multi-tenant SaaS service design
Adversarial test harnesses for AI security
Secure developer SDKs and API design
Nice-to-have
Experience with MCP or custom tool protocols
Mentoring engineers in high-ownership environments
Knowledge of prompt injection defense strategies
Background in quantum-safe future technologies
Key Requirements
12+ years of professional software engineering experience
Hands-on technical leadership capability
Proven track record in cloud-native infrastructure