Principal AI & Cloud Security Engineer (Remote only within WA, ID, OR)

Banner Bank is a well-established financial institution recognized for its outstanding workplace culture and employee experience. As the Principal AI & Cloud Security Engineer, you will shape the organization's strategy for securely adopting AI and Azure cloud technologies, ensuring that innovative solutions are secure, resilient, and compliant.

Responsibilities:

• Define and lead the enterprise security strategy and architecture for AI-powered systems and Azure cloud environments, including identity, network security, data protection, and secure cloud and hybrid designs
• Establish and govern security controls, guardrails, and runtime protections for agentic AI workflows, including tools such as Claude, GitHub Copilot, and custom AI agents
• Lead threat modeling efforts for AI systems and Azure-hosted workloads, identifying and mitigating risks associated with adversarial inputs, cloud vulnerabilities, autonomous agents, and emerging attack vectors
• Evaluate AI-generated and cloud-integrated code for security, quality, correctness, and performance, and define enterprise standards for secure code review practices
• Architect and oversee security tooling and monitoring capabilities that evaluate, monitor, and harden AI agents and Azure resources at scale using technologies such as Microsoft Defender for Cloud, Azure Monitor, and Microsoft Sentinel
• Embed security governance into the software development lifecycle and Azure DevSecOps pipelines through Security Posture Management, Azure Policy, Key Vault, and Infrastructure-as-Code standards
• Research emerging AI and cloud security threats, regulations, and industry trends, translating insights into actionable strategies and enterprise security improvements
• Mentor and influence engineering teams on secure AI adoption, cloud security best practices, and enterprise security standards

Requirements:

• You have a Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field. An equivalent combination of education and experience can be considered in lieu of a degree
• You have 8+ years of experience in security engineering, secure SDLC, threat modeling, and Azure cloud security, including designing and governing security controls for AI/ML, generative AI, and agentic systems in enterprise cloud environments
• You have a Master's degree
• You have experience within financial services or banking environments
• You hold industry-recognized security certifications such as CISSP, Azure Security Engineer, GIAC, or similar credentials