> Markdown version of [/jobs/ext/4241690-senior-ai-security-engineer](https://www.wearedevelopers.com/jobs/ext/4241690-senior-ai-security-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Security Engineer - **Company:** Amaris - **Location:** Barcelona, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Architectural Patterns, Cloud Computing Security, Cyber Security, Identity and Access Management, Key Management, Machine Learning, Secure Coding, Cloud Platform System, Software Security, Generative AI, Agentic-AI - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cf90fd71621db0b5 ## About the Role * 3+ years of experience in Cybersecurity, Security Engineering, Application Security, Cloud Security, or a similar role. * At least 1 year of hands-on experience working with AI solutions, ideally as an AI Engineer or in a role closely related to AI development and security. * Good understanding of Machine Learning, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI architectures. * Experience with security architecture, threat modelling, secure development practices, cloud security, IAM, and secrets management. * Familiarity with AI security risks, security testing, and development pipeline controls. * Experience performing security assessments, architecture reviews, and security testing. * Fluent English (written and spoken). * Strong problem-solving skills and ability to work in multidisciplinary and international teams. ## Description * Translate AI security risks and strategic goals into practical security controls, technical standards, and architecture patterns. * Conduct AI security assessments, architecture reviews, threat modelling, and security testing for AI and Machine Learning solutions. * Collaborate with development, platform, and cybersecurity teams to integrate security controls into AI applications and cloud environments. * Define security requirements for AI applications, models, data, agents, identities, and integrations. * Support the implementation of secure AI engineering processes and security best practices. * Implement monitoring, incident readiness, and risk mitigation controls for AI environments. * Stay up to date with the latest trends and technologies in AI Security, Cybersecurity, and Generative AI.