The Information Security, Risk, and ISM team is undergoing a transformative shift from traditional, manual operations to a fully autonomous, agentic AI-driven model. This role will accelerate the modernization of security operations, enable real-time decision-making, and support broader adoption of agentic AI across business units.
Requirements
- 5+ years of experience in AI/ML development, with a focus on agentic systems or autonomous workflows.
- Proficiency in Python, TensorFlow/PyTorch, and LLM frameworks (e.g., OpenAI, Anthropic, Google, Meta, etc.).
- Experience integrating AI with cloud platforms (full gitops), enterprise security and IT service management tools.
- Experience building AI agents for security operations or GRC automation.
- Familiarity with vector databases, RAG pipelines, and semantic search.
- Understanding of cybersecurity principles, risk frameworks (e.g., NIST 800-53 & AI 100-1, OWASP GenAI Security Project, ISO 27001, etc.), and compliance standards.
Responsibilities
- Design and implement autonomous AI agents to perform core InfoSec, Risk, and ISM functions.
- Integrate AI models with existing platforms (SIEM, GRC, IAM, cloud infrastructure).
- Build scalable, reusable AI components and orchestration frameworks.
- Develop AI-driven mechanisms for continuous risk assessment and predictive threat modeling.
- Enable real-time decision support and automated incident response.
- Apply LLMs and multi-agent systems to enhance security workflows.
- Prototype and test novel AI approaches to improve operational resilience.
Other
- Requires a college degree or equivalent experience and minimum 10 years of prior relevant experience.
- Excellent communication, organizational, and analytical skills.
- Partner with business units to identify opportunities for agentic AI adoption.
- Support change management and enterprise readiness for AI integration.
- Collaborate with internal teams (Legal, IT, Product, Engineering, HR) to align AI initiatives.
