Senior AI Security Engineer (R-19324)

Dun & Bradstreet; Dublin; On-site; EUR 80,000 - 120,000; Full time

Benefits offered by this job

25 days annual leave

Flexible working – hybrid model

Employee Health Insurance

Mental Health Support program

Pension Contribution

Job summary

Dun & Bradstreet in Dublin is seeking a Senior AI Security Engineer responsible for defining and advancing enterprise-wide security strategies for AI and machine learning platforms.

The role involves designing secure architectures and leading security initiatives to mitigate AI-specific risks. With a hybrid working model, the position offers extensive health and wellness benefits and ample opportunities for professional growth.

Qualifications

• 8 - 12 years of relevant experience, including significant experience in security engineering.
• Deep understanding of application and cloud security, threat modeling, and risk mitigation techniques.
• Proven experience designing and securing large-scale distributed systems.

Responsibilities

• Lead the design, development, and evolution of enterprise-grade security architectures for AI platforms.
• Define and drive security strategy, standards, and reference architectures.
• Mentor and coach engineers; provide technical leadership across programs.

Skills

Security engineering

AI/ML platforms

Cloud security

Threat modeling

DevSecOps

Stakeholder management

Education

Bachelor’s degree in Computer Science, Artificial Intelligence, Cybersecurity or related field

Tools

AWS

Azure

GCP

Kubernetes

Microsoft Office Suites

Job description

Shape the Future with Dun & Bradstreet

Senior AI Security Engineer is responsible for defining, designing, and advancing enterprise-wide security strategies and architectures for AI, GenAI, and machine learning platforms.

What’s on Offer at D&B Ireland

• 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day)
• Holiday buy & sell (the option to buy or sell up to 5 additional days per year)
• Flexible working – hybrid model
• Employee Health Insurance
• Mental Health Support program
• Pension Contribution
• Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement)
• Life Assurance
• Educational Assistance Program
• Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities)

Responsibilities

• Lead the design, development, and evolution of enterprise‑grade security architectures for AI, GenAI, and ML platforms, pipelines, and products
• Define and drive security strategy, standards, and reference architectures for AI systems across the organization
• Serve as a technical authority in AI security, advising engineering and leadership teams on secure design, threat mitigation, and risk acceptance decisions
• Implement advanced security controls for LLM‑based systems, agentic AI frameworks, and AI‑driven APIs at scale
• Lead complex threat modeling, red‑teaming, and adversarial testing initiatives targeting AI systems, models, and data ecosystems
• Establish and operationalize controls to mitigate AI‑specific risks including prompt injection, data leakage, model exfiltration, model poisoning, and misuse scenarios
• Drive security integration across the AI lifecycle, including model development, training, evaluation, deployment, and runtime operations
• Define and implement secure identity, authentication, authorization, and trust models for human‑to‑AI and agent‑to‑agent interactions
• Lead the design of secure AI data architectures, including data governance, lineage protection, and privacy‑preserving mechanisms
• Champion DevSecOps practices for AI platforms, embedding automated security testing, validation, and monitoring into CI/CD pipelines
• Collaborate with platform, cloud, and infrastructure teams to ensure secure‑by‑default environments across multi‑cloud ecosystems
• Influence and contribute to enterprise security policies, governance frameworks, and regulatory compliance initiatives related to AI
• Lead incident response and forensic analysis for AI‑related security events and vulnerabilities
• Mentor and coach engineers; provide technical leadership across programs and communities of practice
• Drive cross‑functional security initiatives, aligning stakeholders across engineering, product, legal, and risk domains
• Stay at the forefront of emerging AI threats, technologies, and industry best practices, and translate insights into actionable improvements

Essential skills and/or Certifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Cybersecurity or related field
• 8 - 12 years of relevant experience, including significant experience in security engineering and deep specialization in AI/ML platforms.
• Deep understanding of application and cloud security, threat modeling, and risk mitigation techniques.
• Proven experience designing and securing large‑scale distributed systems, microservices, and API ecosystems
• Advanced expertise in AI/ML security, including LLMs, RAG architectures, vector databases, and agentic frameworks
• Strong knowledge of AI threat models, adversarial AI techniques, and attack vectors (e.g., prompt injection, model manipulation, data poisoning)
• Hands‑on experience implementing security controls across data, model, API, and infrastructure layers
• Extensive experience with cloud security (AWS, Azure, GCP) including IAM, network security, and platform services
• Expertise in DevSecOps, automation, and secure SDLC integration
• Experience with containerization, Kubernetes security, and modern infrastructure protection practices
• Ability to define and influence enterprise security standards and architectural decisions
• Strong leadership, stakeholder management, and communication skills
• Experience working across multi‑stakeholder, global engineering environments
• Proficiency in Microsoft Office Suites
• Show an ownership mindset in everything you do; be a problem solver, be curious and inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
• Where applicable, fluency in English and languages relevant to the working market.

Dun & Bradstreet is an Equal Opportunity Employer