Partner with GIS operational and technical teams to identify opportunities for AI-driven enhancements to security controls and architecture
Drive the technical implementation of the design and deployment of AI-powered tools for threat hunting, anomaly detection, and automated incident response
Oversee the development and operationalization of custom ML/LLM models tailored to cybersecurity use cases
Guide architectural transformations to support scalable AI integration across the enterprise
Act as a technical expert on AI-driven cybersecurity initiatives, mentoring junior engineers and analysts
Prototype and evaluate emerging AI technologies for applicability in cyber threat detection and response
Serve as a thought leader and subject matter expert on AI in cybersecurity, advising senior leadership and influencing enterprise-wide strategy
Ensure responsible and ethical use of AI in security operations, including model governance, bias mitigation, and explainability
Collaborate with offensive security teams to develop AI-enhanced red teaming and adversarial emulation capabilities
Drive innovation in proactive defense mechanisms using predictive analytics and autonomous threat response.

Requirements

7+ years of hands on experience in cybersecurity, preferably Offensive Security or Cyber Threat Operations
Hands-on experience building agentic AI systems, LLMs, and custom ML model development
Experience with enterprise cloud AI development platforms such as Azure AI Foundry, AWS Bedrock, or GCP Vertex
Strong understanding of offensive security tactics and how AI can enhance red teaming, attack path mapping, and threat modeling
Experience leading large-scale technical projects involving security data pipelines, model deployment, and automation
Deep knowledge of cyber threat actor behaviors, attack vectors, and defensive countermeasures
Ability to translate complex technical concepts into actionable strategies for senior executives
Familiarity with AI governance, model risk management, and regulatory considerations in financial services
Experience with modern data platforms, cloud-native architectures, and MLOps frameworks
Demonstrated ability to drive consensus across diverse stakeholders and influence enterprise-wide initiatives
Strong communication and presentation skills, especially in executive and cross-functional settings.

Benefits

Discretionary incentive eligible
Industry-leading benefits
Access to paid time off
Resources and support for employee wellness

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI-driven enhancementsthreat huntinganomaly detectionautomated incident responsecustom ML modelsLLMspredictive analyticssecurity data pipelinesmodel deploymentautomation

Soft Skills

mentoringthought leadershipinfluencingcommunicationpresentationcollaborationdriving consensustranslating technical conceptsguiding architectural transformationsinnovation