AI Agent Security Architect

Replit
United States
Hybrid

Who this role is best for

Strong fit for security professionals with agentic AI experience who lead technical execution and bridge AI behavior with cybersecurity controls.

Best fit for

  • Candidates with 6+ years in security architecture and AI/ML security expertise
    — “6+ years of experience in security engineering or security architecture, with at least 2+ years dedicated specifically to AI/ML security”
  • Individuals who have led technical security initiatives in agentic systems
    — “leading high-impact AI security initiatives and bridging the gap between non-deterministic AI behavior and rigorous cybersecurity controls”
  • Professionals with a track record in designing runtime guardrails and sandboxing environments
    — “design secure, short-lived, micro-isolated environments (e.g., microVMs, WebAssembly, container sandboxes)”

Things to consider

  • The role requires in-office presence for full-time benefits and setup reimbursement
    — “In-Office Set-Up Reimbursement (In-Office Only)”
  • Candidates must be prepared to engage in both technical and executive-level risk communication
    — “Exceptional ability to communicate complex non-deterministic AI risks to both deep technical engineers and executive stakeholders”

How to stand out

  • Highlight experience in agentic threat modeling and red-teaming with AI systems
    — “Conduct specialized threat modeling against non-deterministic systems. Lead automated and manual AI red-teaming initiatives”
  • Emphasize contributions to enterprise risk registers and audit documentation
    — “Proven track record of contributing to an enterprise Cybersecurity Risk Register”
  • Showcase expertise in runtime sandboxing and isolation technologies for dynamic environments
    — “Experience designing runtime sandboxing and isolation technologies (e.g., Firecracker, gVisor, Docker, WebAssembly)”
  • Demonstrate ability to define and maintain secure design patterns and SDKs for AI agents
    — “Maintain the AI Security Source of Truth: Define, document, and maintain authoritative secure design patterns and SDKs”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design and implement AI security frameworks
  • Conduct specialized threat modeling
  • Lead AI security initiatives
  • Maintain AI security standards
Typical background
Experience in AI and machine learningBackground in cybersecurityUnderstanding of cloud and distributed systems

Skills & requirements

Required

AI SecurityRuntime SecurityGuardrailsPolicy EnforcementSafeguarding AI BehaviorAgentic Threat ModelingRed TeamingIdentity And Access ManagementData IsolationRisk ManagementCompliance

Preferred

Cloud SecurityZero Trust ArchitectureAI Governance

Stack & domain

AI SecurityRuntime Defense SystemsGuardrail FrameworksSandboxing ArchitecturesDynamic Input/output Guardrail SystemsSemantic FirewallsReal-time Intent Verification FiltersSecure, Short-lived, Micro-isolated EnvironmentsAgentic Threat ModelingRed-teamingIdentity, Delegation & Least PrivilegeContext & Memory Boundary SecurityRisk ManagementAuditability & ObservabilityCompliance & Sales EnablementLeadershipTechnical ExecutionProblem-solvingCollaborationCommunicationStrategic ThinkingCybersecurityAISoftware Development

About the role

Original posting from Replit via Ashby

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.

About the Role

We are looking for an AI Agent Security Architect to function as the primary technical

authority for Replit’s autonomous and AI agent security blueprint. In this critical role, you

will design, implement, and maintain the runtime defense systems, guardrail

frameworks, and sandboxing architectures that govern AI agents executing code,

invoking tools, and reasoning across our platform. You will be a key technical

contributor—leading high-impact AI security initiatives and bridging the gap between

non-deterministic AI behavior and rigorous cybersecurity controls for both engineering

and executive leadership.

What You'll Do

  • 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.

Required Skills & Experience

  • 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.

Bonus Qualifications

  • Experience designing runtime sandboxing and isolation technologies (e.g., Firecracker, gVisor, Docker, WebAssembly) for dynamic code execution environments.

Full-Time Employee Benefits Include:

💰 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)

Want to learn more about what we are up to?

  • Self-driving Company https://replit.com/blog/self-driving-company
  • Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
  • AI Adoption https://replit.com/blog/ai-adoption
  • Build Open-Source Apps https://replit.com/build/open-source-app-builder

Interviewing + Culture at Replit

  • Operating Principles https://blog.replit.com/operating-principles
  • Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Source: Replit careers (Ashby)

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