Design and implement enterprise-scale GCP platforms (Google SecOps/Mandiant)
Create and deploy "Agentic Security" layers, using LLMs and Vertex AI to automate detection engineering and investigation lifecycles.
Be the Subject Matter Expert (SME) for Zero Trust Network Access (ZTNA) and Cloud Native Application Protection Platforms (CNAPP)
Translate complex regulatory requirements (NEI 08-09, RG 5.71, ISO 27001, SOC2) into actionable technical controls.
Ensure all AI solutions adhere to global data privacy standards (GDPR/SOC2) and implement "Guardrail" systems to prevent AI hallucinations or data leakage.
Ensure that the GCP platform follows Westinghouse security standards
Improve standards for model versioning, automated testing, and deployment (CI/CD) to ensure models are updated without downtime.
Architect "Right-sized" compute solutions (GPU/TPU) and implement strategies to minimize token costs and inference latency.
Design deep-learning architectures for "Zero-Fail" sensor monitoring across primary and secondary containment systems.

10+ Years of Cyber Experience: A proven track record spanning Managed Security Services (MSSP), Nuclear/Industrial Control Systems (ICS), and Cloud Security.
Deep Technical Pedigree: Extensive hands-on experience with the Google Cloud Security stack (SecOps, SCC, Gemini for Security, Model Armor) or equivalent enterprise ecosystems (Mandiant/FireEye/Palo Alto).
OT/ICS Expertise: Experience securing air-gapped environments and "live-plant" operational requirements for critical infrastructure.
AI/ML Fluency: Demonstrated ability to secure AI workloads and use AI to reduce Mean Time to Respond (MTTR).

Principal AI Solutions Architect

Key skills