Security AI Operations Engineer
Role Overview
The role bridges automated AI systems and human security operations through supervision, quality control and execution of AI-assisted workflows.
It works alongside the Security Automation & AI Engineering team, managing human-in-the-loop queues and routing prioritized investigations to security analysts and consultants.
Key Skills for This Role
Full Job Posting
About Thales
Thales is a global technology company operating across defence, space, aerospace and digital security.
The UK organization provides technology and services supporting national security and social value.
Location and work arrangement
- The role is based in Belfast, Northern Ireland, and is described as hybrid.
Role overview
The role bridges automated AI systems and human security operations through supervision, quality control and execution of AI-assisted workflows.
It works alongside the Security Automation & AI Engineering team, managing human-in-the-loop queues and routing prioritized investigations to security analysts and consultants.
Responsibilities
- Review AI alert enrichments, threat summaries and triage recommendations; assign and track investigations, policy changes and incident-response playbooks.
- Escalate pipeline exceptions and integration errors; curate runbooks, SOPs, threat intelligence and product documentation in Amazon Bedrock Knowledge Bases and Amazon OpenSearch Service.
- Audit AI retrieval and generated outputs, document knowledge gaps, identify hallucinations and false positives, and collaborate on guardrails and evaluation datasets.
- Maintain prompts and templates, submitting engineering tickets when code changes are required; track MTTR, assignment velocity and analyst AI adoption.
- Train security and services teams on prompts, AI copilots and feedback workflows; gather practitioner feedback for the engineering roadmap.
- Support Sales Engineering proofs of value and account-team efforts to improve customer adoption, retention and renewals.
Required qualifications
- Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering or a related field; a master's degree is a plus.
- 3–5+ years in SOC, MSSP, ITSM or technical workflow coordination, including 2+ years with AI- or generative-AI-enabled tools or workflows.
- Working knowledge of security operations, threat lifecycle, alert triage, WAF, API security and frameworks such as MITRE ATT&CK or NIST.
- Practical generative AI, prompt workflow and enterprise ticketing/orchestration experience; examples include Jira, ServiceNow, PagerDuty or SOAR.
- Comfort with AWS Management Console, especially Amazon Bedrock, OpenSearch Dashboards and CloudWatch metrics.
- Strong technical writing and experience authoring security runbooks, SOPs and structured process documentation.
Preferred qualifications
- Basic Python scripting or experience writing OpenSearch/Elasticsearch queries, SQL or Lucene queries is preferred.
- The description is truncated during the preferred qualifications section; additional qualifications may be missing.
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