Orbis Group
AI Security Engineer / DevSecOps Engineer
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London | Hedge Fund | Competitive Salary + Bonus
We're partnering with a highly regarded investment management firm looking to hire an experienced engineer to sit at the intersection of AI, software engineering, and cybersecurity.
This isn't a traditional cybersecurity role. Instead, we're looking for someone who enjoys building software, understands modern AI technologies, and wants to help shape how security is embedded into engineering as organizations adopt AI at scale.
You'll work closely with software engineers, platform teams, and senior technical leadership to build secure-by-design solutions, influence engineering practices, and help define the next generation of AI security capability.
What you'll be doing
- Partner with engineering teams to embed security into the software development lifecycle.
- Help mature DevSecOps practices across CI/CD pipelines.
- Design and implement security controls for modern AI and LLM-based applications.
- Advise on secure adoption of AI technologies, agentic workflows, and developer tooling.
- Build or enhance internal security tooling and automation using Python.
- Work closely with architects and developers to ensure security is built in from the start rather than added later.
- Help shape secure engineering standards, application security practices, and AI governance.
- Contribute to the firm's longer-term AI security strategy.
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What we're looking for
- Strong commercial software engineering experience (Python essential).
- Recent hands-on experience working with AI, LLMs, or agentic AI technologies.
- Good understanding of secure software engineering principles and DevSecOps.
- Experience working with CI/CD pipelines and modern engineering practices.
- Knowledge of application security and secure SDLC.
- Someone who enjoys solving technical problems and working closely with developers.
- Comfortable operating in a fast-paced, engineering-led environment.
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Nice to have
- Experience with cloud platforms (AWS, Azure, or GCP).
- Experience building developer tooling or internal platforms.
- Exposure to AI security, prompt security, model security, or AI governance.
- Experience within financial services, fintech, or another high-performance engineering environment.
Why join?
- Opportunity to help build a new capability from the ground up.
- Work at the forefront of AI adoption and secure engineering.
- High levels of ownership and autonomy.
- Exposure to complex technical challenges with modern AI technologies.
- Small, collaborative engineering culture where your work will have a direct impact.
- The chance to influence how AI is adopted securely across a business.
If you're a software engineer who's naturally gravitated towards security, or a security engineer with a strong software engineering background, and you're excited by the challenge of securing AI-enabled systems, we'd love to hear from you.
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