The Role
Designs and governs security architectures for enterprise AI/ML platforms across cloud, on-premises, and hybrid environments. Responsibilities include developing security blueprints, securing application-model-data traffic, applying Zero Trust and least privilege, conducting threat modeling, automating security guardrails through IaC and CI/CD, evaluating security tooling, and advising engineering teams. The role also addresses AI-specific risks such as model hosting, inference security, workload isolation, and third-party model integrations while serving as a technical authority.
Summary Generated by Built In
For our client, a large international organisation, we are looking for an AI Security Lead / Architect to set the strategic direction for AI in security at group level. This is a pioneering role: you will define how the organisation secures its use of AI and how it uses AI to strengthen security. You’ll also have real freedom to choose the tools and approach.
What you’ll be doing
- Defining the AI security strategy and roadmap, and turning it into concrete implementation plans for engineering teams
- Leading the selection and rollout of AI-related security tools, mainly in the Microsoft ecosystem but not limited to it
- Discovering and controlling shadow AI across the business, and defining how employees can safely use AI tools
- Setting up monitoring, detection and response for AI usage and AI-related threats
- Building AI security governance: policies, standards, risk assessment and alignment with regulation (EU AI Act and others)
- Working with security leadership, business stakeholders, the central AI team and global infrastructure teams
- Defining secure patterns for AI platforms, including AI gateways and access to models and data
Requirements
- Hands-on experience implementing AI security in an enterprise environment, not only defining policy
- A track record of driving security initiatives with senior security leadership and business stakeholders in an international organisation
- Practical knowledge of the Microsoft security stack, for example Purview, Defender for Cloud Apps, Sentinel, Entra and Security Copilot
- Understanding of AI gateways and how to control access to internal and external models
- Experience designing security architecture in Azure
- Solid understanding of infrastructure and network security
- Familiarity with AI governance frameworks such as the EU AI Act, ISO/IEC 42001 and NIST AI RMF
- A proactive, self-driven approach: you shape the direction rather than wait for requirements
- Fluent English; German is a plus
Benefits
- A strategic, high-visibility role with a real influence on how a global organisation adopts AI
- Freedom to choose tools and define the approach
- An international environment and stakeholders
- Remote work
- Stable employment on a Contract of Employment or B2B and a full benefits package
Skills Required
- Solid background in infrastructure and network security
- Hands-on experience designing secure architectures on at least one major public cloud: Azure, AWS, or GCP
- Practical knowledge of AI gateway or LLM gateway solutions
- Good understanding of Kubernetes and container platform security
- Infrastructure-level IAM expertise, including workload identity, service-to-service authentication, and secrets management
- Knowledge of Zero Trust, defense-in-depth, and secure-by-design principles
- Ability to work at enterprise architecture level while addressing technical details such as firewall rules, gateway configuration, and traffic flows
- Familiarity with AI infrastructure risks, including model hosting, inference security, workload isolation, model and data access, enterprise integrations, and third-party models
- Track record of driving architecture decisions across multiple engineering teams
- Fluent English at C1 or higher
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The Company
What We Do
Look4IT is a recruitment agency specializing in providing top-quality recruitment and outsourcing services within the IT sector, focusing on staffing solutions for permanent and contract positions.
