Principal AI Solutions Architect
Job Description:
• 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.
Requirements:
• 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).
Benefits:
• Comprehensive Health and Income Protection Benefits
• 401(k) Savings Plan
• Paid Vacations for Qualifying Positions
Apply Now
Apply Now
• 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.
Requirements:
• 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).
Benefits:
• Comprehensive Health and Income Protection Benefits
• 401(k) Savings Plan
• Paid Vacations for Qualifying Positions
Apply Now
Apply Now