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For Companies At a Glance
- Tasks: Secure and optimise AI systems in real enterprise environments, ensuring reliability and safety.
- Company: Join Supermodular AI, a leader in AI transformation with a hands-on approach.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with the chance to work directly with engineers and security teams.
- Why this job: Make a real impact by ensuring AI systems operate securely and effectively in production.
- Qualifications: Experience in software engineering and a strong understanding of AI system vulnerabilities.
The predicted salary is between 60000 - 80000 ÂŁ per year.
About Supermodular AI
We help enterprises navigate AI Transformation with strategy through execution. We believe AI transformation cannot be designed purely in strategy documents; the real strategy emerges by building, deploying, and operating AI systems inside the organization. Our team works directly with enterprise IT and software teams to design and implement AI systems in real environments, enabling engineering organisations to work in fundamentally new ways by introducing AI‑native development practices and custom AI systems to unblock difficult modernization or harmonization efforts.
Role Overview
As a Forward Deployed Security Engineer (AI Systems), you will work directly with enterprise IT and software teams to ensure AI systems operate securely, reliably, and safely in production environments. You will be embedded in real enterprise environments, working alongside engineers and technical leaders to understand how systems operate today, identify vulnerabilities, design secure architectures, and harden systems that were not originally built to support AI. Your work spans the full lifecycle of an engagement: shaping technical approaches early, ensuring security and reliability are built into the system design, and implementing safeguards required for systems to operate in real‑world conditions. Many environments are not clean—systems are incomplete, poorly integrated, or not designed with security in mind. Your role is to bring structure and resilience to these environments, building and hardening systems that operate safely at scale. At its core, this role is about one thing: making AI systems work in production without breaking trust.
Desired Skills and Qualifications
- Thinking AI‑first with a strong understanding of how AI systems fail, break, and can be exploited in real‑world environments.
- Comfortable working at the edge of AI capabilities, understanding risks such as prompt injection, data leakage, unsafe tool use, and model misuse, and designing systems that mitigate them.
- Understanding that AI systems are probabilistic and introduce new failure modes; designing guardrails, evaluation loops, and controls to make them reliable and safe in production.
- Identifying and hardening weak points in existing systems, especially where security and architecture were not designed properly from the start.
- Strong software engineering foundation, with experience building and operating production systems in distributed or cloud‑native environments.
- Experience working across authentication, authorization, data access, and system boundaries, ensuring AI systems interact safely with enterprise infrastructure.
- Pragmatic and execution‑focused, able to improve security and reliability incrementally without blocking progress or over‑engineering solutions.
- Translating messy, high‑risk environments into secure, working systems even when requirements are incomplete or constantly evolving.
- Comfortable working directly with engineers, architects, and security teams inside enterprise environments, aligning on practical solutions.
- Practical mindset around reliability, observability, and security, focused on what actually matters in production rather than theoretical completeness.
Forward Deployed Security Engineer (AI Systems) | UK employer: supermodular.ai
Contact Detail:
supermodular.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Security Engineer (AI Systems) | UK
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Forward Deployed Security Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI systems and security. This gives potential employers a taste of what you can do and how you think about real-world problems.
✨Tip Number 3
Prepare for those interviews! Research common questions for security engineers and practice your responses. Be ready to discuss how you've tackled vulnerabilities or designed secure architectures in past roles.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at Supermodular AI. Tailor your application to highlight your experience with AI systems and security, and let’s make some magic happen!
We think you need these skills to ace Forward Deployed Security Engineer (AI Systems) | UK
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI systems! Share any relevant experiences or projects that highlight your understanding of AI and how it can transform environments. We love candidates who are genuinely excited about the field.
Tailor Your Application: Make sure to customise your application to reflect the specific skills and qualifications mentioned in the job description. Highlight your experience with security in AI systems and how you've tackled real-world challenges. This helps us see how you fit into our team!
Be Clear and Concise: We appreciate straightforward communication. Keep your application clear and to the point, focusing on your key achievements and relevant experiences. Avoid jargon unless it's necessary, and make sure we can easily understand your contributions.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at supermodular.ai
✨Know Your AI Systems
Make sure you have a solid understanding of how AI systems operate and the common vulnerabilities they face. Brush up on concepts like prompt injection and data leakage, as these are hot topics in the industry. Being able to discuss real-world examples will show your depth of knowledge.
✨Showcase Your Pragmatic Approach
During the interview, highlight your ability to implement security measures without over-engineering solutions. Share specific instances where you've improved security incrementally while keeping projects on track. This will demonstrate your execution-focused mindset, which is crucial for the role.
✨Communicate with Confidence
You’ll be working closely with engineers and technical leaders, so practice articulating your thoughts clearly. Use straightforward language to explain complex ideas, and don’t hesitate to ask clarifying questions if something isn’t clear. This shows that you’re engaged and willing to collaborate.
✨Prepare for Real-World Scenarios
Expect to discuss how you would handle messy, high-risk environments. Prepare examples from your past experiences where you successfully identified weak points in systems and implemented effective solutions. This will illustrate your practical mindset and ability to adapt to evolving requirements.