Enterprise Security Engineer (AI & Enterprise Security)

All Jobs  >  Enterprise Security Engineer (AI & Enterprise Security) Apply Enterprise Security Engineer (AI & Enterprise Security) Hybrid Remote • United Kingdom, GBR • Cybersecurity Apply Description Job Title: Enterprise Security Engineer (AI & Enterprise Security)Working Time: Full timeLocation: United Kingdom / IrelandAbout CloudBeesCloudBees enables enterprises to deliver scalable, compliant, and secure software, empowering developers to do their best work. Seamlessly integrating into any hybrid and heterogeneous environment, CloudBees is more than a tool—it's a strategic partner in your cloud transformation journey, ensuring security, compliance, and operational efficiency while enhancing the developer experience across your entire software development lifecycle. It allows developers to bring and execute their code anywhere, providing greater flexibility and freedom through fast, self-serve, and secure workflows.CloudBees supports organizations at every step of their DevSecOps journey, whether using Jenkins on-premise or transitioning software delivery to the cloud. We’re helping customers build the future, today.About the RoleWe're looking for a motivated engineer to help secure the most critical AI initiatives across the business.Most application security engineers spend their careers on the product side. This role puts you on the other side: AI-era security for the business itself, not the product customers use. You'll work alongside the CISO on problems most companies don't have a playbook for yet.The work is product security with an enterprise scope. Internal apps, AI tools, and agents are products that need the same threat modeling, secure design, and engineering rigour as anything customer-facing.Alongside enterprise security work, you'll build tooling, automation, and agents that help the broader security team scale with AI.You're curious, proactive, and hands-on. We'll back you with the resources and exposure to do your best work.This is a hands-on role. Bring initiative. We'll give you the problems worth solving.What You'll DoSecure Development StandardsDevelop secure SDLC standards for internal apps and AI workflowsBuild patterns, reference architectures, and the documentation teams need to self-serveWork with business teams to raise the profile of security and adopt secure practices, especially for AI and low-codeThreat modeling and risk assessmentConduct threat modeling, risk assessments, and technical security reviews for enterprise systems, internal apps, and AI and agentic deploymentsIdentify and prioritize security risks; advise risk, compliance, audit, and business teams on mitigationsTranslate findings into actionable enterprise controls and detection requirementsAI and agentic securityDesign safeguards for enterprise AI tooling, including agents and non-human identitiesEvaluate and integrate emerging AI/ML security toolsStay current with the AI security landscapeBuilding and automationEngineer and automate AI-first security workflows that scale the wider Security teamBuild for the enterprise domain in a way that benefits Product Security, SOC, and GRCWhat You BringSecurity expertiseHands-on experience in software and enterprise securityDesirable: working knowledge in any of SaaS, cloud, IAM, or endpoint securitySecure SDLCProficiency in secure SDLC fundamentals, including threat modelling, secure design, vulnerability management, and CI/CD securityEngineering and toolingComfortable writing and reviewing code (Python, Go, TypeScript, or similar)Experience building integrations and automating security workflowsExperience with security tools at scale — SAST, DAST, SIEM, endpoint, cloud, identity, AI/ML, vulnerability management platformsAI and agentic security knowledgeUnderstanding of AI/ML security risks, attack vectors, and vulnerabilitiesFamiliarity with agentic AI frameworks and generative AI toolsCommunication and interpersonal...