Security Architect, Agentic AI

We are looking for an Agentic AI - Architect/Security Engineer to join our Exposure Management & Security Operations team. This is a fully remote U.S. role, reporting to the VP, Information Security Engineering.

We’re looking for a hands-on Security Architect/Engineer to build and ship security capabilities for agentic AI systems—LLM apps that plan, use tools, manage memory, and leverage enterprise data. This is an implementation-focused role where you will deliver production code, secure building blocks, and reference implementations for both IT and Product teams.

What you’ll do (Role Expectations)

• Build secure agent runtimes, libraries, and reference implementations while implementing core agent patterns like planner/executor, tool routing, and RAG boundaries
• Build and secure MCP servers, clients, tool registries, and connector patterns with robust authentication, authorization, and audit logging
• Enforce secure-by-default controls including schema validation, tool allowlists, redaction, and policy checks
• Threat model and test agent workflows for prompt injection and data exfiltration to build repeatable security evaluations

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing uncertainty as the raw material to build something meaningful.
• You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between strategy and hands-on execution.
• You are a problem-solver who seeks out challenges and is energized by finding solutions that deliver the biggest impact.
• You are a high-trust collaborator who is ambitious for the team and embraces a challenge culture through candid, respectful feedback.
• You operate with urgency and understand that speed and quality are not mutually exclusive in a high-growth environment.

What We’re Looking for (Minimum Qualifications)

• Extensive experience designing and implementing agent runtimes including planning, tool calling, and memory/state controls
• 8+ years of experience shipping production security engineering solutions with strong coding skills in Python, TypeScript, or Node
• Practical experience integrating frontier model APIs with structured outputs, streaming, and safety controls
• Familiarity with agent frameworks such as LangGraph, LangChain, or Semantic Kernel and the ability to extend them securely
• Solid experience in cloud security for AWS, GCP, or Azure along with Kubernetes security and Infrastructure as Code

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity with OWASP LLM Top 10, MITRE ATLAS, or the NIST AI RMF
• Experience building red-team style testing or evaluation harnesses for LLM applications and agents
• Strong background in data security for RAG, including retrieval authorization and tenancy boundaries

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