Senior AI & Cloud Security Engineer

We're Hiring: Senior AI & Cloud Security Engineer! We are looking for an experienced Senior AI & Cloud Security Engineer to lead and strengthen our security initiatives across cloud and AI environments. This is a fantastic opportunity to shape robust solutions, protect critical assets, and contribute to innovative projects in a dynamic setting. What you will do Threat-model and security-review LLM applications, RAG architectures, and • agentic workflows, including risks such as prompt injection, data leakage, insecure tool use, and excessive agency Design and execute AI security testing and adversarial evaluations, working with specialist red-team teams where appropriate • Secure AI and data supply chains, including model and artifact provenance, dependencies, vector stores, grounding data, and third-party integrations • Embed security into CI/CD through policy-as-code, automated security testing, container and IaC scanning, and vulnerability management • Design and implement cloud security controls across identity, network segmentation, secrets and key management, data protection, logging, and auditability • Build security automation and evaluation tooling using Python or equivalent languages, replacing manual checks with repeatable engineering controls • Act as a technical SME for AI and cloud security incidents, architecture reviews, and engineering remediation, while translating emerging threats into practical controls for internal and client teams What you bring • 7+ years of hands-on experience in security engineering, application security, cloud security, DevSecOps, or related roles, with practical experience securing AI/ML or Generative AI workloads • Strong DevSecOps experience covering CI/CD security, container and Kubernetes security, infrastructure-as-code, vulnerability management, and software supply-chain security • Hands-on understanding of modern AI architectures including model APIs, RAG, vector/retrieval systems, orchestration frameworks, and AI agents • Strong knowledge of application and API security, IAM/workload identity, secrets management, data protection, and cloud-native security controls • Deep expertise in at least one major cloud platform such as AWS, Azure, or GCP, with the ability to apply equivalent security patterns across cloud environments • Familiarity with AI security and governance frameworks such as OWASP guidance for LLM/Generative AI applications, MITRE ATLAS, and NIST AI RMF • Python or equivalent programming capability for security automation, testing, and evaluation tooling • Ability to independently own complex security problems from threat modelling and architecture through implementation, validation, and remediation Nice to have • Experience with AI red-teaming or adversarial evaluation of LLM and agentic applications • Experience securing enterprise RAG, vector databases, model gateways, or AI orchestration platforms • Experience with policy-as-code, SBOMs, artifact provenance, cloud security platforms, or security telemetry • Experience working in consulting, regulated industries, or large enterprise environments Sensitivity Label: General #J-18808-Ljbffr