At a Glance
- Tasks: Lead AI security initiatives and shape firm-wide strategies for securing AI systems.
- Company: Join G-Research, a leader in quantitative finance with a focus on innovation.
- Benefits: Competitive pay, 30 days leave, healthcare, and fun monthly events.
- Other info: Enjoy a relaxed dress code and excellent work/life balance.
- Why this job: Make a real impact in AI security while working with cutting-edge technology.
- Qualifications: Experience in securing large-scale software or ML systems and strong collaboration skills.
The predicted salary is between 80000 - 100000 £ per year.
We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity, building a world‑class platform as part of G‑Research. As a Principal AI Security Engineer you will provide firm‑wide technical leadership for AI security across the full lifecycle, reporting to the Head of Security and acting as the senior technical authority across research engineering, platform engineering, security and risk teams. You will shape technical direction, define design patterns, and influence firm‑wide decisions on AI risk, resilience and governance.
Key Responsibilities
- AI system security leadership
- Define and drive the firm‑wide approach to securing AI systems across the model lifecycle.
- Identify systemic AI‑specific risks, including model integrity, prompt injection and misuse.
- Establish secure design principles that enable experimentation while maintaining strong controls.
- Securing AI‑enabled engineering and autonomy
- Provide technical leadership on securing AI‑assisted development and autonomous workflows.
- Define guardrails, integrity controls and standards for integrating AI services into engineering and operational platforms.
- Identity, Integrity and Logging
- Design robust identity and access models for AI systems, including service authentication and role‑based restrictions.
- Ensure integrity of models, data and pipelines with strong logging and audit mechanisms.
- Cross‑functional influence and governance
- Work with senior stakeholders across engineering, security, research and risk to translate AI risks into actionable controls.
- Contribute to firm‑wide AI governance, risk and control strategy.
- Technical depth and hands‑on contribution
- Lead design reviews, threat modelling and targeted implementation for critical AI initiatives.
- Raise technical standards and mentor senior engineers on AI‑related security challenges.
Qualifications
- Securing large‑scale software or ML systems in production.
- Expertise in AI or ML security, including model integrity, adversarial threats and supply‑chain risk.
- Strong understanding of modern ML architectures, training workflows and inference infrastructure.
- Excellent engineering fundamentals with the ability to engage with complex systems and code.
- Proven ability to influence technical direction through collaboration and evidence.
Benefits
- Highly competitive compensation plus annual discretionary bonus.
- Lunch provided via Just Eat for Business and dedicated barista bar.
- 30 days’ annual leave.
- 9% company pension contributions.
- Informal dress code and excellent work/life balance.
- Comprehensive healthcare and life assurance.
- Cycle‑to‑work scheme.
- Monthly company events.
Principal AI Security Engineer employer: Barlowe LLP
At G-Research, we pride ourselves on being an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As a Principal AI Security Engineer, you will not only lead the charge in securing cutting-edge AI systems but also enjoy a highly competitive compensation package, generous annual leave, and a strong focus on work/life balance. Our commitment to employee growth is evident through mentorship opportunities and regular company events, making G-Research a truly rewarding place to advance your career in the heart of quantitative finance.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Security Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI security. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios specific to AI security. Practice explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with our mission and values.
We think you need these skills to ace Principal AI Security Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Principal AI Security Engineer role. Highlight your expertise in AI security, model integrity, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI security and how your background makes you a perfect fit for us. Be sure to mention specific experiences that relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills:In your application, don't shy away from showcasing your technical depth. Mention any hands-on experience you have with securing AI systems, threat modelling, or designing robust identity models. We love seeing candidates who can demonstrate their technical prowess!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Barlowe LLP
✨Know Your AI Security Stuff
Make sure you brush up on the latest trends and challenges in AI security. Be ready to discuss specific risks like model integrity and prompt injection, as well as how you would tackle them. Showing that you’re on top of current issues will impress the interviewers.
✨Demonstrate Technical Leadership
Prepare examples from your past experiences where you’ve led technical initiatives or influenced decisions. Highlight how you’ve shaped security strategies or defined design patterns in previous roles. This will show that you can step into the Principal role with confidence.
✨Engage with Cross-Functional Teams
Think about how you’ve collaborated with different teams in the past. Be ready to share stories about working with engineering, research, and risk teams to translate AI risks into actionable controls. This will demonstrate your ability to influence and work across various functions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI security and their governance strategies. This not only shows your interest but also gives you a chance to assess if the company aligns with your values and expertise.
