Job Description:
Job Description:
Role Responsibilities:
- 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.
Required Qualifications
- 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.
Desired Qualifications
- Experience with AI-enhanced SOAR (Security Orchestration, Automation, and Response) platforms.
- Familiarity with adversarial machine learning and AI security risks.
- Background in data engineering, feature engineering, and model lifecycle management.
- Experience with open-source AI frameworks (e.g., PyTorch, TensorFlow, LangChain).
- Prior work in regulated industries with a focus on compliance and risk mitigation.
Skills:
- Artificial Intelligence
- Critical Thinking
- Threat Analysis
- Cyber Security
- Data Privacy and Protection
- Data and Trend Analysis
- Stakeholder Management
This job will be open and accepting applications for a minimum of seven days from the date it was posted.
1st shift (United States of America)