AI Security Engineer - F/M/X

Who are we?
Mantu is an independent international consulting player, founded in 2007. Bringing together expert and complementary brands, Mantu stands out for the breadth of its spectrum, responding to all business transformation challenges.
Its activities are divided into four practices:
Leadership & Advocacy, Technology, Brand Strategy & Experiences and Total Talent Management.
A wide range of skills, all serving a single mission: connecting and powering companies with leading teams and technology to succeed faster and sustainably.
From its headquarters in Geneva, Switzerland, Mantu relies on a community of 12,000 talented people in more than 60 countries on 5 continents and has a turnover of 1billion euros.
Job Description
Join our team and start a new adventure in an international and dynamic environment, where you will be able to fulfill your career expectations in a fast-growing organization. Positioned at the heart of our evolution, our Data and AI team is pivotal in driving both team and organizational growth. As an AI Security Analyst, you will play a critical role in ensuring the security, trustworthiness, and compliance of Mantu's AI solutions by proactively identifying and mitigating risks associated with AI deployments and business processes.
Your Missions:
Conduct adversarial testing of internal AI solutions, copilots, agents, and knowledge management platforms to identify vulnerabilities not apparent through traditional reviews.
Assess risks related to data access, permissions, information exposure, and AI-generated actions.
Investigate interactions between AI systems and enterprise data sources (e.g., SharePoint, Teams, OneDrive, business applications) to identify potential scenarios of unintended data access or exposure.
Document findings and collaborate with technical teams to enhance security controls.
Contribute to the development of methodologies and best practices for AI security testing.
Monitor emerging AI threats, attack techniques, and security trends.
Your Profile:
Bachelor's or Master's degree in engineering or a related field.
3-5 years of professional working experience
Experience in cybersecurity, information security, computer science, IT, or a related discipline.
Practical understanding of AI tools, AI agents, and Large Language Models (LLMs).
Foundational knowledge of access control, identity management, security testing, risk assessment, and data protection.
Initial exposure to offensive security, penetration testing, vulnerability assessment, or security research is highly valued.
Strong interest in cybersecurity and offensive security, particularly red teaming and adversarial testing methodologies.
Analytical and investigative mindset, with the ability to creatively explore potential risk scenarios.
Strong communication skills, able to explain risk clearly to both technical and business audiences.
Collaborative approach, comfortable working across technical and business teams.
What we offer:
An international community bringing together 110+ different nationalities
An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
A robust training system with our internal Academy and 250+ available modules
A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)
At Mantu, sustainability is part of everything we do. You'll have the opportunity to turn your ideas into action and make a tangible impact. Every day, our teams bring our ESG commitments to life, from reducing our footprint to driving positive change within our communities. Through our WeCare Together program, you'll be empowered to design and lead projects that create real social or environmental impact, with the company's full support.
Mantu is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.