Senior AI Security Engineer
Senior AI Security Engineer

Senior AI Security Engineer

Full-Time 60000 - 84000 ÂŁ / year (est.) No home office possible
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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: Competitive salary, inclusive culture, and opportunities for growth.
  • Why this job: Make a real impact in AI security while working with cutting-edge technology.
  • Qualifications: BSc in Computer Science or equivalent experience; 3+ years in applied AI.
  • Other info: Collaborative and fun work environment with a focus on innovation.

The predicted salary is between 60000 - 84000 ÂŁ per year.

Menlo Security's mission is enabling the world to connect, communicate and collaborate securely without compromise. COVID-19 has made our mission all the more real. We support customers across various enterprises including Fortune 500 companies, 9/10 of the largest global banks and the Department of Defense. The world has fundamentally changed. 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. Menlo is well‑funded for growth and our investors are second to none.

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 employer: Menlo

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 communication and collaboration.
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Contact Detail:

Menlo Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI Security Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Menlo Security. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Show off your skills! If you’ve got a portfolio or any projects related to AI security, make sure to highlight them during interviews. It’s all about demonstrating what you can bring to the table.

✨Tip Number 3

Prepare for the unexpected! Brush up on your problem-solving skills and be ready to tackle hypothetical scenarios during interviews. They want to see how you think on your feet!

✨Tip Number 4

Don’t forget to 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 team.

We think you need these skills to ace Senior AI Security Engineer

AI Security
Threat Detection
Prompt Engineering
Context Manipulation
Adversarial Threat Mitigation
Python
Kubernetes (k8s)
Cloud-Native Orchestration
Data Modeling
Version Control
Cybersecurity
Collaborative Engineering
Proactive Threat Modeling
High-Scale AI Systems Deployment
Event Stream Management

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 Passion: Let your enthusiasm for AI security shine through! Share examples of projects or experiences that demonstrate your commitment to tackling emerging threats in this field. We love seeing candidates who are genuinely excited about what they do.

Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and skills. We appreciate candidates who can communicate effectively, especially in a technical role like this one.

Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Menlo

✨Know Your Stuff

Make sure you brush up on the latest trends in AI security, especially around prompt poisoning and adversarial threats. Familiarise yourself with Menlo Security's mission and how your skills can contribute to their goals.

✨Showcase Your Experience

Prepare to discuss specific projects where you've implemented AI security measures or worked with agentic systems. Highlight your experience with Python, Kubernetes, and any relevant orchestration frameworks to demonstrate your technical prowess.

✨Emphasise Collaboration

Menlo values teamwork, so be ready to share examples of how you've successfully collaborated with engineering teams. Discuss how you’ve integrated security mechanisms into production systems while balancing performance and security.

✨Be Open to Feedback

Demonstrate your humility and willingness to learn by discussing times when you’ve received feedback and how it helped you grow. This aligns with Menlo's culture of open communication and support for new ideas.

Senior AI Security Engineer
Menlo
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