At a Glance
- Tasks: Research and implement security solutions for AI agents against emerging threats.
- Company: Join Menlo Security, a leader in secure communication and collaboration.
- Benefits: Collaborative culture, growth opportunities, and a chance to make a real impact.
- Other info: Inclusive environment with a focus on creativity and teamwork.
- Why this job: Be at the forefront of AI security and protect cutting-edge technology.
- Qualifications: BSc in Computer Science or equivalent experience; 3+ years in applied AI.
The predicted salary is between 54000 - 84000 £ per year.
Menlo Security's mission is enabling the world to connect, communicate and collaborate securely without compromise. We support customers across various enterprises including Fortune 500 companies, 9/10 of the largest global banks and the Department of Defense. We are growing from 400 employees into the next phase of our journey, and we need passionate talent filled with empathy and agility. The right candidate for the job is ethical, hyper-organized, fanatical about seeing things through to completion, service-oriented, and humble enough to take feedback and coaching yet confident enough to provide feedback and coaching.
We are seeking a Senior AI Security Engineer to focus on the emerging security challenges of autonomous AI agents. In this role, you will research, design, and implement novel techniques to detect and mitigate prompt poisoning, context manipulation, malicious agent behaviors, and other adversarial threats targeting agentic AI systems. You will work closely with engineering teams to translate cutting-edge security research into practical, deployable security controls that protect agents operating in real-world environments, particularly when interacting with untrusted web content.
Core Responsibilities
- Research Emerging Agentic Threats: Investigate new attack vectors against AI agents, including prompt injection, context poisoning, adversarial content embedding, and misuse of agent planning and reasoning mechanisms.
- Architect Scalable Agentic Workflows: Design and implement robust, high-performance pipelines that secure agent-to-web interactions.
- Develop Novel Detection & Mitigation Techniques: Design and prototype new approaches for identifying malicious prompts, unsafe contextual signals, and adversarial behaviors in LLM-powered agents.
- Agent Security Controls: Implement these techniques as security controls within agentic runtimes, ensuring agents can safely reason over and act on external data sources.
- Collaborative Engineering: Partner closely with applied engineers to integrate research-driven security mechanisms into production systems, balancing security effectiveness with agent performance.
- Proactive Threat Modeling: Continuously evaluate the evolving AI threat landscape and anticipate future risks as agent capabilities and autonomy increase.
- Adversarial Resilience: Build defensive mechanisms within the browser surrogate to detect and neutralize complex context poisoning and injection attempts embedded in web content.
Qualifications
- BSc in Computer Science or significant experience in high-scale cloud engineering; a relevant MSc or PhD is a strong advantage.
- 3+ years of experience in applied AI, with a proven track record of deploying high scale AI systems in production environments. Agentic experience in production environments is an important advantage.
- Expert-level Python; deep experience with k8s and cloud-native orchestration; proficiency with advanced data modeling and version control.
- Significant experience in cybersecurity or browser-related technologies is highly preferred.
- Deep understanding of prompt engineering techniques and how they can be exploited in agentic systems.
- Ability to explore ambiguous problem spaces, experiment with new ideas, and iterate toward effective security solutions.
Nice to Have
- Hands-on experience with orchestration frameworks (e.g., LangChain, AutoGen) and/or standardized communication protocols like MCP.
- Experience building immutable event streams and high-speed data pipelines for real-time traffic analysis.
- Understanding of how web pages are rendered and how to programmatically manipulate the DOM or Accessibility Tree to enhance security.
- A "security-first" mindset with a bias toward building auditable, traceable, and fault-tolerant systems.
Why Menlo?
Our culture is collaborative, inclusive, and fun. We have five core values: Stay Aligned, Get It Done, Customer Empathy, Think Creatively and Help Each Other Out. We believe in open communication, supporting new ideas, and sharing a mutual mindset of what we're aiming to achieve together. There are tremendous opportunities to take initiative, implement new ideas, and have a hand in building a legacy.
All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
Senior AI Security Engineer in Bracknell employer: Menlo Security
Menlo Security is an exceptional employer that fosters a collaborative and inclusive work culture, where employees are encouraged to take initiative and contribute to meaningful projects. With a strong focus on employee growth and development, team members have the opportunity to work on cutting-edge AI security challenges while being supported by a well-funded company backed by top-tier investors. Located in a dynamic environment, Menlo offers a unique chance to be part of a mission-driven team dedicated to securing the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Security Engineer in Bracknell
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Menlo Security. A personal introduction can make all the difference in getting your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with AI security challenges. This will not only demonstrate your expertise but also your passion for the field.
✨Tip Number 3
Be ready for the interview! Research Menlo Security’s mission and values, and think about how your skills align with their needs. Practice answering common interview questions, especially those related to AI and cybersecurity.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Menlo Security team.
We think you need these skills to ace Senior AI Security Engineer in Bracknell
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI security and the specific skills mentioned in the job description. We want to see how your background aligns with our mission at Menlo Security.
Showcase Your Projects:Include examples of your previous work, especially any projects related to AI systems or cybersecurity. This gives us a clear picture of your hands-on experience and problem-solving abilities in real-world scenarios.
Be Authentic:Let your personality shine through in your application. We value humility and a service-oriented mindset, so don’t hesitate to share your journey and what drives you in the field of AI security.
Apply Through Our Website:For the best chance of success, make sure to submit your application through our official website. This helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Menlo Security
✨Know Your Stuff
Make sure you brush up on the latest trends in AI security, especially around prompt poisoning and adversarial threats. Being able to discuss recent developments or case studies will show that you're not just knowledgeable but also genuinely interested in the field.
✨Showcase Your Experience
Prepare to talk about your previous projects involving AI systems and cybersecurity. Highlight specific challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to apply theoretical knowledge in practical situations.
✨Emphasise Collaboration
Menlo values teamwork, so be ready to discuss how you've worked with engineering teams in the past. Share examples of how you’ve integrated security measures into production systems and how you’ve balanced security with performance.
✨Ask Insightful Questions
Prepare thoughtful questions about Menlo's approach to AI security and their future plans. This shows that you're not only interested in the role but also in contributing to the company's mission of secure communication and collaboration.