Senior AI Security Engineer (R-19324)

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