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

This role is currently benefits eligible.
We provide industry-leading benefits,
access to paid time off,
resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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 leadershipinfluencingcommunicationpresentationtranslating technical conceptsdriving consensuscollaborationguidanceinnovation