AI Security Architect

Salt; Netherlands; On-site; EUR 120,000 - 180,000; Full time

Job summary

Salt is seeking an experienced AI Security Architect to lead secure AI/ML platform design across cloud and on‑prem environments in a global pharmaceutical context. You will drive secure‑by‑design principles for AI solutions that support research, manufacturing, supply chain, QA and corporate functions.

Responsibilities include threat modelling, risk assessments, architecture reviews and governance across the AI lifecycle, collaborating with cyber, cloud and data science teams to embed security

Qualifications

• 8+ years in cyber security or security architecture.
• Hands-on AI/ML security experience.
• Familiar with NIST AI RMF, ISO 27001, NIST CSF.
• Ability to communicate risks to technical and executive stakeholders.

Responsibilities

• Define and implement AI security architecture strategy across cloud and on‑prem environments.
• Design secure AI/ML frameworks, reference architectures, and controls.
• Conduct AI threat modelling and risk assessments for models, data, and pipelines.
• Partner with cyber, EA, data science and cloud teams to embed security throughout the AI lifecycle.
• Ensure AI governance and regulatory/ethics alignment in pharma domains.
• Provide architectural oversight for LLMs, intelligent automation and digital manufacturing.
• Evaluate AI security technologies and support audits and reporting.

Skills

Cyber security

Security architecture

AI/ML security

Cloud security

Threat modelling

Executive communication

Job description

Our client, a global pharmaceutical manufacturing organisation, is seeking an experienced AI Security Architect to lead the design and implementation of secure AI and machine learning platforms across the enterprise. This individual will play a critical role in ensuring that AI solutions are developed, deployed and governed in line with the highest security, privacy, regulatory and ethical standards.

Working closely with AI engineering, cloud, cybersecurity, data science and compliance teams, the AI Security Architect will establish secure-by-design principles for AI systems that support pharmaceutical research, manufacturing operations, supply chain, quality assurance and corporate functions.

Key Responsibilities

• Define and implement the organisation's AI security architecture strategy across cloud and on-premise environments.
• Design secure AI/ML frameworks, reference architectures, and controls for generative AI, machine learning and data science platforms.
• Conduct AI threat modelling and risk assessments, identifying vulnerabilities within AI models, training environments and data pipelines.

Develop controls to mitigate risks including:

• Adversarial machine learning
• Data leakage
• Model theft and misuse
• Supply chain vulnerabilities
• Partner with Cyber Security, Enterprise Architecture, Data Science and Cloud Engineering teams to embed security throughout the AI lifecycle.
• Ensure compliance with pharmaceutical industry regulations, data privacy requirements and emerging AI governance frameworks.
• Provide architectural oversight for AI initiatives involving large language models (LLMs), intelligent automation, predictive analytics and digital manufacturing.
• Establish security standards for AI model development, deployment, monitoring and continuous assurance.
• Drive AI governance, security policies, and best practices across global business units.
• Evaluate and recommend AI security technologies, tooling and third-party vendors.
• Support security audits, regulatory assessments and executive reporting related to AI risks.

Required Experience

• 8+ years of experience in Cyber Security, Security Architecture or Enterprise Security roles.
• Hands-on experience securing AI/ML platforms and emerging generative AI technologies
• Experience with public cloud environments including Azure, AWS or Google Cloud.
• Knowledge of modern AI ecosystems, including model lifecycle management, MLOps and LLM deployment frameworks.
• Demonstrated experience performing threat modelling, security assessments and architecture reviews.
• Familiarity with security standards such as NIST AI RMF, ISO 27001, NIST CSF and industry security frameworks.
• Ability to communicate complex technical risks to both technical and executive stakeholders.

Strong understanding of:

• AI/ML security principles