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AI Agent Security Architect

Replit· Engineering
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Hybrid (Foster City, CA)$230k - $350kFull-timePosted 1mo ago

About the role

The AI Agent Security Architect serves as the primary technical authority for Replit’s autonomous and AI agent security blueprint, designing, implementing, and maintaining runtime defense systems, guardrail frameworks, and sandboxing architectures to secure AI agents that execute code, invoke tools, and reason across the platform.

Responsibilities

  • AI Agent Security Strategy & Technical Execution
  • AI Agent Security Blueprint: Define the long-term vision and architectural patterns for securing autonomous agent workflows, Model Context Protocol (MCP) integrations, multi-turn reasoning loops, and multi-agent coordination.
  • Runtime Guardrails & Policy Enforcement: Architect and deploy dynamic input/output guardrail systems, semantic firewalls, and real-time intent verification filters to prevent goal hijacking, system prompt leaks, and indirect prompt injections.
  • Agent Execution & Tool Sandboxing: Partner with Infrastructure and AppSec teams to design secure, short-lived, micro-isolated environments (e.g., microVMs, WebAssembly, container sandboxes) where agents can dynamically execute code, run shell commands, and interact with host operating systems safely.
  • Agentic Threat Modeling & Red Teaming: Conduct specialized threat modeling against non-deterministic systems. Lead automated and manual AI red-teaming initiatives to uncover vulnerabilities in RAG context pipelines, vector stores, and tool-calling interfaces.
  • Identity, Delegation & Least Privilege: Architect fine-grained permission models and step-up Human-in-the-Loop (HITL) authorization patterns for agents acting on behalf of users—ensuring agents never exceed the delegated privileges of the end user or misuse API keys.
  • Context & Memory Boundary Security: Design strict data isolation and poisoning prevention controls for vector databases, retrieval-augmented generation (RAG) pipelines, and long-term conversation memories across multi-tenant workloads.
  • Risk Management & Cross-Functional Enablement
  • Maintain the AI Security Source of Truth: Define, document, and maintain authoritative secure design patterns and SDKs for engineering teams building internal or customer-facing AI agent capabilities.
  • Contribution to Risk Register: Identify, quantify, and document non-deterministic and agentic security risks (e.g., OWASP Top 10 for LLMs & AI Agents, MITRE ATLAS), ensuring they are accurately represented in the Cybersecurity Risk Register.
  • Auditability & Observability: Design tamper-evident logging and telemetry standards for agent reasoning chains, tool execution history, and context assembly to support incident response, forensics, and GRC requirements.
  • Compliance & Sales Enablement: Partner with GRC to translate complex AI security controls into enterprise-ready audit documentation (e.g., ISO 42001, NIST AI RMF, EU AI Act readiness) and support Sales on complex enterprise security inquiries regarding AI safety.

Qualifications

  • 6+ years of experience in security engineering or security architecture, with at least 2+ years dedicated specifically to AI/ML security, LLM application security, or securing agentic frameworks.
  • Deep understanding of agentic architectures and protocols (e.g., Model Context Protocol (MCP), LangChain, AutoGen, CrewAI, ReAct frameworks, and vector database technologies).
  • Hands-on expertise with threat vectors unique to agentic AI: Indirect Prompt Injection, Goal Hijacking, Tool Parameter Tampering, Data Poisoning, and Context Contamination.
  • Strong background in applying safety standards and risk frameworks such as OWASP Top 10 for LLMs & AI Agents, NIST AI RMF, and MITRE ATLAS.
  • Proficiency in Python, Go, or TypeScript/JavaScript with a proven track record of reviewing code and building functional security tooling or guardrails.
  • Experience authoring, maintaining, and evangelizing technical security architecture documentation.
  • Exceptional ability to communicate complex non-deterministic AI risks to both deep technical engineers and executive stakeholders.
  • Proven track record of contributing to an enterprise Cybersecurity Risk Register.

Skills

Required:Security ArchitectureAgentic AI SecurityThreat Modeling & Red TeamingProgramming

Benefits

  • Competitive Salary & Equity
  • 401(k) Program with a 4% match (US Only)
  • Health, Dental, Vision and Life Insurance
  • Short Term and Long Term Disability
  • Paid Parental, Medical, Caregiver Leave
  • Flexible Time Off (FTO) + Holidays
  • Commuter Benefits (In-Office & US Only)
  • Monthly Wellness Stipend
  • Autonomous Work Environment
  • In Office Set-Up Reimbursement (In-Office Only)
  • Quarterly Team Gatherings
  • In Office Amenities (In-Office Only)
Last updated Sep 30, 2026. Interested? Apply on the company site.
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