AI Security Engineer

As an AI Security Engineer at SentraAI you will operate at the intersection of AI architecture application security and offensive security helping enterprise organisations design deploy and operate AI systems that are secure by design and defensible in production.You will work closely with AI engineers platform teams and security stakeholders to embed runtime guardrails security observability and continuous AI red-teaming into real production systems. This role is accountable for translating AI threat models into concrete engineering controls and for ensuring AI systems remain secure auditable and resilient as they evolve.This is a hands-on role for practitioners who understand that AI security is an operational discipline not a policy exercise.About SentraAISentraAI is a specialist enterprise AI firm focused on helping large regulated organisations move AI and data platforms from experimentation into production safely and sustainably.We work inside enterprise run-states where governance operational risk change control and long-term ownership are integral to delivery. Our teams are trusted to design and deliver systems platforms and operating models that can be run audited and evolved not just launched.We prioritise engineering discipline architectural clarity and delivery quality over speed theatre or hype.RequirementsAI Threat Modelling and Security ArchitectureGuide application and platform teams on threat modelling for AI and LLM-based systems across the full lifecycleDevelop and maintain AI-specific threat models aligned to recognised standards and regulatory expectationsTranslate threat models into explicit architectural controls security requirements and acceptance criteriaAdvise on secure AI design patterns including least-privilege isolation and human-in-the-loop safeguardsSecure Implementation and Runtime EnforcementWork closely with AI and ML engineers to ensure secure implementation of AI guardrails within application codebasesEnsure robust input sanitisation validation and prompt hardening for text document and multimodal inputsEnsure output validation redaction and data exfiltration prevention mechanisms are correctly implementedEvaluate test and support deployment of LLM security frameworks and detection mechanismsEnsure security-relevant telemetry and logs are captured in line with regulatory and audit requirementsAI Security Observability and SOC IntegrationDefine and publish AI-specific security indicators for operational monitoring and alertingEnable real-time visibility into AI security signals such as anomalous behaviour prompt abuse or tool misuseSupport downstream security operations and incident response teams with actionable AI security contextAI Red Teaming and Offensive Security IntegrationEmbed automated AI security testing into CI/CD pipelines including prompt fuzzing and regression testingSupport and guide offensive security teams on LLM-specific attack scenariosOperationalise AI red-teaming tools and custom adversarial test casesEnsure findings feed back into guardrail tuning detection logic and adaptive defence mechanismsRequired QualificationsCore ExperienceStrong background in application development security engineering or platform engineeringPractical experience working with AI-enabled applications LLMs or ML pipelinesSolid grounding in application security concepts and secure software designHands-on experience implementing or integrating AI guardrails sanitisation and runtime security controlsAI and Security CapabilityPractical understanding of AI and LLM threat vectors such as prompt injection data poisoning tool abuse and agent escalationExperience collaborating closely with AI engineers platform teams and offensive security practitionersAbility to translate security intent into concrete testable engineering controlsAdvantageous but Not MandatoryExperience with AI red-teaming tools or adversarial testing frameworksFamiliarity with secure CI/CD and DevSecOps practicesExperience operating in regulated or highly governed enterprise environmentsExposure to SOC integration detection engineering or security observabilityBenefitsWhy Work for SentraAIEnterprise AI done properly.We exist to take AI and data out of experimentation and into production environments that are regulated scrutinised and expected to work every day.Quality is not optional.SentraAI is built on the belief that engineering discipline governance by design and delivery rigour are competitive advantages not overhead.Clear ownership and accountability.You will be trusted with real responsibility clear mandates and meaningful outcomes not diluted roles or performative activity.Work that survives contact with reality.We design systems operating models and decisions that still stand up months and years after go-live not just at demo time.Run-state matters as much as build-state.We optimise for operability auditability and change control from day one because that is where enterprise value is won or lost.Substance