We are looking for a Platform Engineer specializing in Agentic Security & Enforcement to help build the security foundation of an enterprise AI Agent Platform from the ground up. The role will focus on protecting agent-to-tool and agent-to-agent interactions through strong authorization, identity, credential management, and gateway enforcement mechanisms.
You will work on establishing zero-trust security patterns for AI agents, ensuring that agents can access only authorized tools and resources while credentials remain securely managed outside of the agent environment.
About the Client
Our client is a large global enterprise operating across multiple markets, with a complex technology landscape and a strong focus on digital transformation and innovation. The organization is actively investing in modern cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions across its business.
About the Project
The project is focused on building an enterprise-grade AI Agent Platform from the ground up. The platform will provide a standardized foundation for developing, deploying, orchestrating, securing, and observing AI agents across multiple teams and use cases.
The initiative covers the full agent lifecycle and brings together agent orchestration, observability, security, governance, integrations, evaluation, and platform engineering. Engineers joining the project will have an opportunity to influence key architectural and technical decisions and contribute to a new platform rather than maintaining an existing solution.
Skills:
• Agentic authorization — Cedar policy engine for agent-to-tool permissions, tool-level access control
• Agent credential management — per-tool OAuth tokens, API keys, IAM roles (never exposed to agents)
• Agent identity — JWT validation, cross-agent authentication, service-to-service trust
• Agentic audit — tracing agent workflows, tool invocation logging, agent-to-agent interaction tracking
• Gateway enforcement — ensuring agents cannot bypass the gateway to reach tools directly
• AWS secrets management — per-target credential storage and rotation
Experience:
• 4+ years security engineering in AI/ML or agent platforms
• Implemented authorization systems for API or tool access
• Credential management and secret rotation patterns
• Agent workflow observability and tracing
Nice to have:
• Cedar policy language or OPA for agent authorization
• AWS Bedrock AgentCore policy configuration
• Agent-to-agent authentication patterns
• Zero-trust architecture for agentic systems
• MCP protocol security (authentication, authorization at tool invocation)
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.