AI Security Architect
AI Security Architect
Posted on :
25-06-2025
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1 Vacancy
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Job Description
Role/Job Title: AI Security Architect
Work Location: Reading (2 days a week)
Your Responsibilities:
- Develop and implement comprehensive AI/ML security strategies policies standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems.
- Develop and own robust enterprise security architecture for AI/ML systems CI/CD and data pipelines.
- Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads.
- Conduct security risk assessments and threat modeling for AI/ML and other business projects. Perform thorough design reviews and security assessments of architectures and designs identifying vulnerabilities threats and risks and providing recommendations for effective mitigation measures.
- Support the testing of AI/ML models LLMs and development of trustworthiness safety fairness bias and inappropriateness detection as well as adversarial test specification development and execution.
- Collaborate with data scientists engineers and other stakeholders to embed security controls and measures into AI/ML applications models algorithms and data pipelines.
- Define and enforce robust access controls authentication mechanisms and encryption standards to safeguard AI/ML systems training data provenance and any sensitive data.
- Stay abreast of emerging AI security threats trends and technologies evaluating their impact and proactively adapting security measures to mitigate potential risks.
- Provide technical guidance and support to cross-functional teams during the design development and deployment of AI/ML systems ensuring security considerations are properly addressed.
- Conduct regular training sessions and awareness programs to educate stakeholders on AI/ML security best practices policies and procedures.
- Collaborate closely with the IT security team to ensure AI/ML systems comply with relevant regulatory requirements and industry standards such as the EU AI Act NIST AI RMF the Digital Services Act the Digital Markets Act GDPR and ISO 27001.
- Work alongside incident response teams to investigate and respond to security incidents and breaches involving AI/ML systems implementing remedial actions and preventative measures.
- Evaluate and recommend appropriate security tools technologies and frameworks to enhance the overall security posture of AI/ML and other business systems.
- Develop and maintain relationships between data scientists data engineers developers operations (DevOps DataOps MLOps) and business unit leaders to govern and support the scalability of ML and AI initiatives.
Your Profile
Essential Skills / Knowledge / Experience:
- Solid experience as a Security Architect with a focus on AI/ML security demonstrating a deep understanding of AI technologies algorithms models and frameworks.
- Extensive knowledge of security principles best practices and standards within the context of AI/ML systems.
- Previous hands-on experience as a developer programmer or data scientist is preferred.
- Proficiency in programming languages commonly used in AI/ML such as Python R C C or Java and their associated security considerations.
- Previous experience with ML LLM deep learning and data manipulation techniques libraries and frameworks such as TensorFlow PyTorch Jax and scikit-learn is desirable.
- Experience in implementing secure coding practices DevOps CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies.
- Strong understanding of modern software engineering cloud services and DevOps including knowledge of DevOps workflows and tools such as Git containers Kubernetes and CI/CD orchestration tools.
- Strong understanding of common security vulnerabilities and threats specific to AI/ML including adversarial attacks prompt injection data poisoning and the MITRE ATLAS framework.
- Hands-on experience using security assessment and threat modeling tools and techniques to evaluate AI/ML systems and identify potential security weaknesses.
- Familiarity with current and emerging regulations and standards such as the EU AI Act the Digital Services Act the Digital Markets Act GDPR and ISO 27001 and their implications for AI/ML security data protection and privacy.
- Proven track record in designing and implementing security controls access management and encryption solutions for AI/ML systems.
- Excellent analytical and problem-solving skills with the ability to assess complex security risks and develop effective mitigation strategies.
- Outstanding communication and collaboration skills enabling effective communication of technical concepts to both technical and non-technical stakeholders.
Employment Type
Full Time
Key Skills
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