Qualifications
Responsibilities
Benefits
About the Role
Thomson Reuters is enhancing its Cyber Defense capability in response to an AI-driven threat landscape that has fundamentally changed the speed, scale, and nature of cyberattacks.
TheDistinguished Engineer, AI Threat Defenseis an individual contributor and senior technical authority embedded within the existing 60+ person Cyber Defense organization. Reporting to the VP of Cyber Defense, this individual will strengthen AI-specific threat defense strategy and build AI-augmented detection and response capability into the existing Security Operations Center (SOC) and Cyber Incident Response Team (CIRT).
This role hasno direct reports or management authority. Instead, the individual will drive impact through technical credibility, architecture, hands-on engineering, influence, and mentorship across SOC Operations, CIRT, Threat Detection Engineering, Vulnerability Management, Attack Surface Reduction, and Cyber Threat Management.
The role also owns two areas where the current organization lacks a dedicated deep technical owner: the technical strategy against AI-specific attack vectors and the hands-on architecture and delivery of AI-augmented detection and response within the existing SOC and CIRT.
What You27ll Do
AI Threat Defense Strategy
Own Thomson Reuters' monitoring and response strategy against AI-specific attack vectors includingprompt injection, Model Context Protocol (MCP) exploitation, agentic system compromise, deepfake-enabled social engineering, and AI-assisted reconnaissance.
Partner with Security Engineering and Architecture to define standards for securing AI infrastructure and ensuring it can be effectively monitored and defended.
Track emerging offensive AI capabilities, adversary tooling, published research, and threat-actor adoption of AI so Cyber Defense capabilities evolve ahead of emerging threats.
Protect Thomson Reuters AI Applications and Systems
Drive monitoring and defenses for AI-specific threat classes including:
Direct and indirect prompt injection
Jailbreaks and guardrail bypass
Sensitive-information and system-prompt disclosure
Unsafe model output and downstream execution
Excessive agency and MCP/tool abuse
Model and data poisoning
AI supply-chain compromise
Model denial-of-service / denial-of-wallet attacks
Model, prompt, and intellectual-property theft
Own technical monitoring and response for Thomson Reuters AI-enabled applications, features, and agentic services while partnering with Product Engineering, Security Engineering & Architecture, and AppSec to embed security directly into the software development lifecycle.
Build AI-Augmented Detection and Response
Build AI-augmented detection content and analytics for AI-specific attack patterns.
Integrate AI threat detection into the existingSIEM, detection engineering, and SOC monitoring stack.
Build AI-assisted playbooks and runbooks and integrate them into existingCIRT and SOAR workflows.
Serve as the principal technical architect for incorporating AI capabilities into the existing 24/7 SOC and CIRT rather than creating a separate security function.
Design automated workflows for AI-related detection, triage, investigation, and response.
Increase analyst productivity while maintaining human-in-the-loop controls, audit trails, and rollback capability.
Drive adoption across SOC Operations, CIRT, Threat Detection Engineering, Vulnerability Management, and Attack Surface Reduction.
Technical Leadership & Influence
Act as the recognized technical authority for AI threat defense across the Cyber Defense organization.
Provide hands-on mentorship and technical uplift to SOC, CIRT, engineering, and security professionals without formal management responsibility.
Represent Cyber Defense externally with industry groups, customers, and regulators.
Influence engineers and analysts through technical reviews, direct collaboration, architecture guidance, and knowledge sharing.
About You
You are a deeply technical cybersecurity leader who can operate at a Distinguished Engineer level without relying on formal organizational authority.
You combine strong hands-on Cyber Defense expertise with practical knowledge of AI systems, AI-specific attack vectors, and production security architecture.
You are comfortable working across mature enterprise security organizations and can influence senior executives, engineers, architects, SOC teams, incident responders, and other technical stakeholders.
You are equally comfortable developing strategy, architecting systems, building technical capabilities, mentoring engineers, and representing the organization externally.
Required Skills / Qualifications
12+ years of progressive cybersecurity engineering experience, including experience operating at Principal, Staff, or Distinguished Engineer level within a large, complex enterprise.
Deep hands-on knowledge ofAI-specific attack vectors and defensive architectures.
Production experience governingAI systems, agentic infrastructure, MCP or equivalent integration patterns.
Proven experience architecting or deliveringAI-assisted detection and responsewithin a mature 24/7 SOC and/or CIRT.
Experience enhancing an established security organization rather than simply building a new function from scratch.
Demonstrated ability to drive adoption of detection capabilities and security controls across:
SOC Operations
CIRT
Threat Detection Engineering
Vulnerability Management
Attack Surface Reduction
Ability to influence technical teams through credibility rather than direct reporting authority.
Exceptional communication skills, including the ability to explain AI-related security risk to senior executives and technical audiences.
Experience within a regulated, multi-segment enterprise requiring coordination across legal, compliance, procurement, and governance organizations.
Preferred Qualifications
Experience infinancial services, legal technology, or professional information services.
Experience embedding major technical capabilities into an existing mature security operations organization.
Familiarity with frontier AI vulnerability research programs such asAnthropic Project Glasswing / Claude Code Securityor comparable agentic vulnerability-discovery initiatives.
Hands-on experience building or operatingagentic AI systems using multiple LLMs, including open-weight and hosted/frontier models.
Experience integrating AI capabilities withSAST/AppSec tooling and vulnerability-management workflows.
Working knowledge of safely operating open-weight or less-restricted AI models for authorized internal security research.
Published research, conference speaking, or active participation within AI security research communities.
Relevant certifications such asCISSP, CISM, advanced AI/ML security, cloud security (AWS/Azure/GCP), or detection-engineering credentials.
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What27s in it For You?
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