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AI & Application Security Engineer

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Before you apply
LocationDublin - Ireland
Typefull-time
Company size10,000+ people
PostedSep 29, 2026 · 1mo ago
Verified live5d ago
At a glanceSummarised by Seekless from the posting.
Help secure Clorox’s enterprise AI, GenAI, and agentic AI capabilities from design through production
Implement AI-specific security controls, application and API security practices, identity and access safeguards, runtime monitoring, secure MCP/API gateway patterns, and risk assessment processes
Partner with Cybersecurity, IAM, Architecture, Cloud, Data, Integration, Engineering, Legal/Privacy, product teams, and vendors
Implement AI guardrails, prompt-injection and jailbreak mitigation, secure tool calling, least-privilege access, logging and SIEM integration, threat modeling, evidence collection, and control validation across AI applications, agents, data access, workflows, and integrations
Skills
AI
GenAI
agentic AI
API
IAM
SIEM
MCP
API gateway
About the company
Clorox is the place that’s committed to growth – for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace
Your role at Clorox:
The AI & Application Security Engineer will help secure Clorox’s enterprise AI, GenAI, and agentic AI capabilities from design through production. This role will implement AI-specific security controls, application and API security practices, identity and access safeguards, runtime monitoring, secure MCP/API gateway patterns, and risk assessment processes to ensure AI systems are safe, compliant, and production-ready.
The engineer will partner with Cybersecurity, IAM, Architecture, Cloud, Data, Integration, Engineering, Legal/Privacy, product teams, and vendors to embed security into AI use cases without slowing responsible delivery. Key focus areas include AI guardrails, prompt-injection and jailbreak mitigation, secure tool calling, least-privilege access, logging and SIEM integration, threat modeling, evidence collection, and control validation across AI applications, agents, data access, workflows, and integrations.
In this role, you will:
•
The AI / Application Security Engineer will help secure enterprise AI, GenAI, and agentic AI platforms from design through production. This role is responsible for embedding AI-specific security controls, application and API security practices, identity and access safeguards, runtime monitoring, and risk mitigation into AI applications, agents, workflows, integrations, and data access patterns.
•
In this role, the engineer will partner with Cybersecurity, IAM, Architecture, Cloud, Data, Integration, Engineering, Legal/Privacy, product teams, and vendors to ensure AI solutions are secure, compliant, monitored, and production-ready. Key responsibilities include implementing AI guardrails, prompt-injection and jailbreak protections, secure tool calling, least-privilege access, input/output validation, logging and SIEM integration, threat modeling, security testing, evidence collection, and secure SDLC controls for AI and application workloads.