Principal Security AI Engineer

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance.  We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture.  As a member of AXIS, you join a team that is among the best in the industry.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.

Design, develop, and operationalize secure agentic AI capabilities in risk & security operations

Build, deploy, and maintain AI-powered security agents to augment detection, investigation, and response workflows

Identify high-value use cases where AI agents can accelerate analyst productivity and improve outcomes

Continuously validate agent performance, accuracy, and reliability in real-world operations

Ensure responsible and secure use of AI across risk & security operations

Enforce strong security controls for enterprise AI platforms (e.g., Microsoft Copilot, Copilot Studio, Azure AI Foundry)
Mitigate AI-specific risks including data leakage, prompt injection, oversharing, and unauthorized access

Establish evaluation practices for agent accuracy, hallucination risk, false positives/false negatives, failure modes, explainability, audit logging, and measurable operational impact.

Ensure human-in-the-loop oversight to include analysts challenge, refine, and retrain AI-driven outcomes

Implement and manage data protection controls for AI and enterprise data Deploy and optimize Microsoft Purview capabilities (DLP, Information Protection, Insider Risk) across M365 and AI platforms

Implement DLP controls for AI interactions and outputs to prevent sensitive data exposure

Monitor and tune data protection policies to meet regulatory and business requirements

Secure AI agents, automation, and data flows

Define and enforce access controls, data handling policies, and auditability for AI agents and automated workflows

Ensure all AI-driven processes align with Zero Trust and least privilege principles

Evaluate and onboard new AI tools and agents with a security-first approach

Operational monitoring, detection, and response

Monitor AI platform activity and data usage to detect anomalies, misuse, or policy violations

Support incident response and investigations involving AI systems and data exposure scenarios

Integrate AI agent workflows directly with SIEM/XDR platforms to allow autonomous context enrichment and preliminary incident triage.

Support enterprise rollout of AI governance and data security programs

About You:

We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals.

What you need to have:

Bachelor’s degree in Information Technology, Cybersecurity, or related field (Master’s preferred), OR equivalent experience leading enterprise-scale security engineering initiatives5+ years of progressive experience in cybersecurity, data protection, or security engineering

Proven…