Senior AI DevSecOps Engineer
Job Title: Senior AI DevSecOps Engineer Salary: Up to £125,000 Base + Bonus + Comprehensive Benefits Location: Hybrid (UK)Work Type: Permanent Role: Security is no longer about slowing teams down. It's about enabling innovation.We're partnering with an exciting technology business building AI native products that are transforming the way people interact with software. With AI at the core of their platform, they're investing heavily in secure engineering and are looking for a Senior AI DevSecOps Engineer to help scale security across a growing product portfolio.This isn't a business trying to introduce DevSecOps. They already have a mature security function, a modern engineering culture and a clear roadmap. They're looking for someone who can build on that foundation by developing intelligent security automation, influencing engineering teams and ensuring security evolves alongside rapid product innovation.If you've secured AI native products, enjoy building tooling and automation, and thrive in modern cloud native engineering environments, this is an opportunity to make a real impact.Responsibilities:
- Lead threat modelling across a portfolio of AI native products.
- Build, enhance and maintain security tooling and DevSecOps automation.
- Coordinate penetration testing activities and ensure remediation is delivered.
- Validate vulnerabilities, separating genuine security risks from false positives.
- Work closely with engineering teams to embed security throughout the software development lifecycle.
- Monitor and improve existing security automations and processes.
- Conduct security design reviews for upcoming products and features.
- Champion a security first culture while helping engineering teams deliver securely at speed.
- Commercial experience in a DevSecOps, Product Security or Application Security role.
- Experience securing AI native or modern cloud native applications.
- Strong knowledge of threat modelling and secure software development.
- Experience building security tooling and automation.
- Hands on experience with vulnerability management, validation and remediation.
- Knowledge of penetration testing methodologies and security scanning.
- Experience working within modern CI/CD environments.
- Exposure to AI assisted development tools such as Cursor, Codex, Claude, Anthropic or similar.
- Strong communication skills with the ability to collaborate effectively with engineering teams.