DevSecAI is an AI Security Enablement Company. We embed expert AI security engineers within clients' teams and provide a DevSecAI SaaS platform for tracking client's AI security tasks. We support clients globally with over 27 DevSecAI engineers deployed in the UK, US, Canada, Switzerland, Malaysia and Singapore. We have built 6 AI Security labs that research and test the latest AI security tools before deploying to clients. www.devsecai.io Role Description This is a full-time hybrid role for a DevSecAI Engineer located in the UK. The DevSecAI Engineer will be responsible for securing AI models, LLMs, GenAI workflows, and data pipelines using vendor-agnostic tools. They will work closely with other AI Embedded Engineers to ensure the security of AI systems throughout the AI Development Lifecycle across Finance, Government, Utilities, Health and more. You'll be part of a new kind of security - embedded into client AI products, tracking their AI security maturity, implementing AI security tools within their workflows, running threat modelling workshops, red teaming against ML Models, hardening ML APIs, and helping define how the world secures artificial intelligence. What You'll Do * Embed within client organisations to implement AI Security Tooling * Perform threat modelling for GenAI \& LLM-enabled apps * Test and secure AI/ML pipelines, APIs, dashboards, and cloud infrastructure * Help design secure-by-default AI workflows (from data ingestion to deployment) * Work across tools like Amazon SageMaker, Azure OpenAI, AWS Bedrock, Hugging Face, etc. * Stay ahead of AI privacy, compliance and attack trends * Contribute to client work, internal R\&D, or platform development - or all three Qualifications * AI Security Engineering, AI Model Security, and Data Pipeline Security skills * Experience with various AI security tools and technologies * Knowledge of AI lifecycle management and GenAI workflows * Strong problem-solving and analytical skills * Excellent written and verbal communication skills * Ability to collaborate with cross-functional teams Certifications * AWS AI practitioner * DevSecAI Certificate * Microsoft Certified Azure AI Fundamentals * Terraform Associate * Microsoft AI and ML Engineering Professional Certificate Job Type: Full-time Pay: £44,668.00-£70,000.00 per year Benefits: * Flexitime * Work from home Schedule: * Monday to Friday Work Location: In person