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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Security Engineer, AI & Cloud Platform - **Company:** Bain & Company - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, User Authentication, Automation of Tests, Microsoft Azure, Cloud Computing, Cyber Security, Continuous Integration, Data as a Services, Information Leak Prevention, DevOps, Identity and Access Management, Intrusion Detection and Prevention, Key Management, Knowledge-Based Systems, OAuth, Open Web Application Security, Performance Tuning, Role-Based Access Control, Systems Integration, Software Vulnerability Management, Cloud Platform System, Spring Cloud, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Data Poisoning, Agentic-AI, Information Technology, Data Pipelines, Devsecops - **Published:** November 10, 2026 - **Apply:** https://careers.bain.com/jobs/Login?folderId=111448 ## About the Role * At least 5 years of hands-on experience in cybersecurity, cloud security engineering, or related roles securing production systems. * Strong experience securing Azure or AWS cloud environments, including infrastructure, networking, identity and access management, secrets management, and monitoring. * Demonstrated experience owning security controls and practices for cloud-native applications, including threat modeling, vulnerability remediation, and incident response. * Strong understanding of authentication and authorization, including role-based access control, OAuth 2.0, token validation, and least-privilege principles. * Understanding of AI security risks, including prompt injection, data poisoning, sensitive data leakage, and vulnerabilities in AI-powered applications. * Experience with structured threat modeling methodologies and security testing. * Experience integrating security practices into DevSecOps workflows and continuous integration and deployment pipelines. * Working knowledge of GDPR, SOC 2, and enterprise data security requirements. * Ability to collaborate effectively with cross-functional engineering teams and communicate security considerations to technical and nontechnical stakeholders. * An associate's or bachelor's degree in computer science, engineering, mathematics, or a related technical field, or an equivalent combination of education, training, and experience., * Experience securing large language model applications, retrieval-augmented generation pipelines, or agentic AI systems. * Familiarity with AI security frameworks such as OWASP Top 10 for LLM Applications and MITRE ATLAS. * Experience using AI security testing tools such as Garak, PyRIT, or equivalent solutions. * Experience supporting enterprise client security reviews and compliance audits. * Experience working in agile product engineering or consulting environments. * Active use of AI-assisted development tools and a commitment to continuously developing AI security expertise. ## Description As a Lead Security Engineer, you'll take ownership of the security posture of Bain's Growth AI Performance System, spanning cloud infrastructure, APIs, agentic AI workflows, data pipelines, and knowledge systems. This is a hands-on engineering role where you'll embed security into the development lifecycle, strengthen infrastructure, conduct threat modeling and security testing, and lead responses to emerging threats. You'll play a critical role in securing AI-powered systems against risks such as prompt injection, data poisoning, unauthorized access, and sensitive data exposure. Working closely with engineering teams and client stakeholders, you'll help ensure our platform meets enterprise security expectations while enabling rapid innovation. What You'll Do Cloud Infrastructure & Platform Security * Secure and harden cloud infrastructure across Azure or AWS, including networking, containers, APIs, storage, and data services. * Design and maintain authentication, authorization, identity management, and least-privilege access controls. * Own secrets management, certificate rotation, secure configuration standards, and security monitoring. * Partner with DevOps engineers to embed security controls into infrastructure-as-code, deployment pipelines, and production environments. AI & Agentic Security * Design and implement safeguards against AI-specific threats, including prompt injection, jailbreaking, data poisoning, model exfiltration, and agentic workflow exploitation. * Secure retrieval-augmented generation (RAG) pipelines, vector stores, agent memory systems, and tool integrations. * Conduct structured security testing and red teaming of AI-powered workflows to identify vulnerabilities and implement effective defenses. * Develop monitoring and detection capabilities for suspicious AI activity, unauthorized access, and workflow misuse. * Define AI-specific security incidents and lead incident response activities when needed. Threat Management, Compliance & Client Engagement * Lead threat modeling and security reviews for new platform features, integrations, and architectural changes. * Embed security requirements, automated testing, and review processes into agile engineering workflows. * Support compliance with applicable GDPR obligations and SOC 2 controls. * Maintain security documentation and evidence to support client due diligence and compliance reviews. * Communicate security risks, controls, and incident response procedures to client security teams and senior stakeholders. * Stay current with emerging AI security threats, frameworks, and tools, sharing knowledge and best practices across the engineering team.