
Information Security Architect – AI & Strategic Initiatives – Careers
Our Take
Information Security Architect owning AI system security and leading strategic initiatives across multicloud environments.
What you’ll do
- Own the security architecture for AI systems built and bought
- Lead strategic security initiatives across on-prem and multicloud
- Find repeatable manual work, weak controls and gaps
- Threat-model new AI systems and initiatives
- Design automation and architecture patterns
- Build agentic workflows, integrations, IaC and proofs of concept
- Validate with pentest and detection teams
- Keep a roadmap and metrics
What they’re looking for
- 6+ years in security
- 3+ in architecture or senior engineering roles
- Engineering background
- Multicloud architecture across AWS, GCP and Azure
- Hands-on skills in Python, APIs, IaC
- Deep understanding of LLM applications and attack surface
What you get
- Staff travel benefits from day one
- Private health care
- Group insurance scheme
- Possibility of taking part in trainings and certifications
- Annual events
- Regular social meetings
- Paid referral system
Skills & Focus Areas
- AI
- AWS
- GCP
- Azure
- MITRE ATLAS
- MITRE ATT&CK
- OWASP
- IaC
As posted by Ryanair Holdings PLC
Skip to content It’s time to go places Changes to our Application Process. Read more All jobs Information Security Architect – AI & Strategic Initiatives Apply now Wroclaw , Poland Information Security , IT About Us Ryanair Labs are currently recruiting Information Security Architect to join Europe’s Largest Airline Group! This is a very exciting time to join Ryanair as we look to expand our operation to 800 aircraft and 300 million guests within the next 10 years. Ryanair Labs is the technology brand of Ryanair. Labs is a state of-the-art digital & IT innovation hub creating Europe’s Leading Travel Experience for our customers. Description About the role A senior, self-directed architect in a lean airline security team. You work without day-to-day supervision: you find where the team spends effort on repeatable work, decide what to automate, build it and measure the result. You own the security architecture for the AI systems we build and buy, and you take a lead role in strategic security initiatives across on-prem and multicloud (AWS, GCP, Azure). You still build: automation, policy-as-code and proofs of concept, not only documents. How you’ll work: find → design → build → verify → evolve Find. Independently map how the security team works detection, incident response, vulnerability management, pentesting, IAM, compliance and spot repeatable manual work, weak controls and gaps; threat-model new AI systems and initiatives (MITRE ATLAS, MITRE ATT&CK, OWASP). Design. Automation and architecture patterns with explicit trade-offs: data boundaries, identity for humans and agents, least-privilege tool access, guardrails, human-in-the-loop for decisions. Build. Ship it yourself or alongside engineers: agentic workflows, integrations, IaC and policy-as-code, proofs of concept. Verify. Validate with the pentest and detection teams; measure hours removed, error rates and coverage. Evolve. Keep a roadmap and metrics; update patterns as the AI and threat landscape shifts. What you’ll do Automate the security team Build agentic and scripted automation for alert enrichment and triage, incident timeline assembly, vulnerability-to-owner routing and remediation tracking, pentest recon and reporting, access reviews and joiner/mover/leaver checks, audit evidence collection, threat-intel ingestion, log-source onboarding and policy-as-code checks. Integrate security tooling via APIs and MCP; keep humans in the loop for decisions; track toil removed. Make LLM assistants and agentic coding tools (Claude Code, OpenCode) productive and governed for the team: safe-use standards, data-handling boundaries, shared patterns. AI security architecture Secure patterns for LLM apps, RAG pipelines, agents and MCP/tool integrations: prompt-injection and data-leakage defences, non-human identity and least privilege, logging that feeds detection. AI governance in practice: AI system inventory, approval path for new AI tools and vendors, model and vendor risk assessment, shadow-AI discovery with the detection team. Security initiatives (examples) Zero-trust and identity modernisation: phishing-resistant MFA, conditional access, privileged access management, non-human identities. Multicloud security baseline across AWS, GCP and Azure: landing zones, guardrails and policy-as-code, logging baseline into the SIEM. Secure SDLC / DevSecOps: SAST, DAST, SCA and secrets management in CI/CD. Network segmentation between corporate, passenger-facing and airport/ground operational systems. SaaS security posture and supplier/third-party access. Data protection for passenger and crew data; PCI scope reduction. Ransomware resilience: backup immutability and recovery testing. Regulatory readiness: gap assessments, control mapping and evidence automation for applicable security regulations and standards. Requirements Must have 6+ years in security, including 3+ in architecture or senior engineering roles, with an engineering background you still use. Demonstrated autonomy: examples of automation or initiatives you identified, built and shipped on your own initiative, with measured results. Deep understanding of how LLM applications, RAG, agents and tool/MCP integrations are built, and of their attack surface (OWASP Top 10 for LLM Applications, agentic-AI threat guidance, MITRE ATLAS). Multicloud architecture across AWS, GCP and Azure: identity, network, logging, policy-as-code. Identity and zero-trust architecture, including workload and non-human identities. Threat modelling, secure design and secure SDLC practice. Hands-on skills: Python, APIs, IaC; effective daily use of LLM assistants and agentic coding tools (e.g., Claude Code, OpenCode) with critical validation of output. Track record of leading cross-functional initiatives without formal authority: roadmap, business case, delivery. Clear communication with executives and engineers alike. Nice to have Aviation, logistics or other regulated-sector experience. EU AI Act, ISO/IEC 42001 and NIST AI RMF in practice. Strongly valued: contributions to, or research on, AI security red-teaming agents, guardrail frameworks, agent security patterns, open-source, publications or talks. Data security and privacy architecture (PII, PCI); SaaS security. OT/ICS and safety-critical system security for airport and ground systems. Certifications: CISSP, CCSP, SABSA or TOGAF; cloud architecture/security (AZ-305, AZ-500, AWS Solutions Architect Professional, AWS Security Specialty, Google Professional Cloud Security Engineer or Cloud Architect). Benefits Benefits & form of employment Contract of employment (permanent contract after trial period) Staff travel benefits from day one Multisport card Private health care Group insurance scheme Other benefits Possibility of taking part in trainings and certifications Great chance to meet your colleagues in other offices Annual events (i.e. St. Patrick’s Day 🍀) Regular social meetings 🍻 Paid referral system New office building surrounded by great dinettes right in the city centre 🌆 Experience Level: Mid-Senior Level Employment Type: Full-time Contract Type: Non Fixed Term Apply now Print Changes to our Application Process. We are in the process of making a number of changes to our application process and overall candidate experience. This will occur in a number of phases and you may be required to create a new candidate profile or input some additional info for your application to be progressed. If you have already successfully applied for a role, we kindly ask that you do not re-apply for this. Our teams will be in touch by phone or email if we wish to progress your application to the next stage. Thank you for your understanding and patience at this time and we wish you the best of luck with your application. Close