Application Security Programmer - Engineer at State Street focusing on building DevSecOps & AppSec strategies. Partnering with teams to enhance application security across various technologies.
About the role
- AI Security Senior Engineer integrating advanced AI technologies into cyber defense. Collaborating across technical teams to enhance security measures and mentoring junior staff.
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.
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
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