AI Security Expert

ROLE

We are seeking an experienced AI Security Expert to design, implement, and lead the security strategy for AI and machine learning systems across our organization. This role sits at the intersection of cybersecurity, AI engineering, and data governance, ensuring that AI systems are robust, resilient, and protected against emerging threats.
You will work closely with business owners, data scientists, ML engineers, solution architects, and security teams to embed security into the full AI lifecycle - from data ingestion to model deployment and monitoring.

•    Provide security architecture reviews for AI initiatives (threat modeling, control mapping, design patterns, secure integrations) 
•    Lead creation and maintenance of enterprise AI security policies & standards
•    With Business Data Protection Team, define requirements for preventing leakage of sensitive data into prompts, training sets, or logs.
•    With the SOC, create AI-specific detections and response playbooks
•    Identify weaknesses and propose concrete mitigation actions in the full AI lifecycle including design, development, deployment, training and operation
•    Provide security architecture reviews for AI initiatives:
o    Threat modeling
o    Secure design patterns
o    Control mapping
•    Ensure AI services align with : 
o    Secure By Design & Zero Trust principles (identity-first, least privilege, continuous validation)
o    Data classification and information protection
o    Define and implement minimum security controls for AI solutions both internal and 3rd party.
o    Secure integration patterns within M365 and developer ecosystems
•    Support security risk evaluation for the: 
o    Use of external GenAI tools
o    Integration of third-party AI components (SaaS, APIs, OSS models)
o    Use of sensitive or regulated data in AI workflows
o    Use of AI workflows in business-critical processes
o    Safe experimentation (“test fast, fail fast”)
o    Define and manage AI vendor security acceptance criteria to support risk-based adoption decisions
o    Define security guardrails for AI vendors and translate them into contractual requirements, in synergy with Legal and Procurement departments

PROFILE

•    Master’s degree, 7+ years of experience in full lifecycle information technology solution implementation from conceptualization, requirements, design and specifications through development integration testing, commissioning and operation
•    Excellent knowledge of systems, security, software and network designs & architectures
•    Excellent knowledge of AI security challenges of AI architecture (e.g. LLM models, training data) and AI Integration (e.g. MCP servers, agents)
•    Strong knowledge of hyperscaler AI/ML cloud platforms and services (e.g., Microsoft Azure AI, Google Cloud), focusing on secure deployment patterns 
•    Strong understanding of foundation model ecosystems and commercial model providers (e.g., OpenAI, Anthropic, Google,), including security selection criteria
•    Good understanding of standard security products/components (FW, IDS/IPS, RP/LB/WAF, etc.)
•    Good knowledge of major cloud service providers (AWS, Azure) and SaaS services (Office 365)
•    Understanding of the development process (SDLC), including specification, documentation, quality assurance and Dev(Sec)Ops best practices is an advantage
•    Comfortable working in a matrix organization across groups with both functional and geographic responsibilities

Preferred Qualifications :

•    Knowledge of frameworks such as NIST AI Risk Management Framework or ISO/IEC 42001. 
•    Familiarity with prompt engineering risks and LLM guardrail techniques. 
•    Active security industry certifications such as CISSP, CCSP, CISA, CISM, SANS GIAC, ISSAP as a strong advantage

JOIN US !

• Join a global leader in trust technologies with a mission that matters.
• Be at the strategic heart of a financially sound and innovation-driven company.
• Collaborate with high-level experts and work on impactful international projects.
• Operate in a multi-cultural, high-integrity environment where autonomy and ownership are encouraged.