Principal AI & Cloud Security Engineer (Remote only within WA, ID, OR)
Company: Banner Bank
Location: Oregon (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-10-18
About this role
More than 135 years ago, we started with core values that never go out of style: listen, learn and help businesses and individuals reach their goals. These core values shape our culture, and we were recently
Great Place to Work Certified
because of our outstanding workplace culture and employee experience. As well, our financial strength and stability are key reasons Forbes named us one of the
Best 100 Banks in America
for the ninth consecutive year.
With more than $16 billion in assets and 135 branch locations throughout Washington, Oregon, Idaho, and California, we understand our role in the economy and take that responsibility seriously. In addition to offering a source of capital to personal banking clients and businesses of all sizes, we place a high importance on employee volunteerism and donate millions of dollars each year to community organizations.
As our Principal AI & Cloud Security Engineer, you'll play a critical role in shaping how we securely adopt and scale AI-powered solutions and Azure cloud technologies across the organization. This senior individual contributor role sets the strategic direction for AI and cloud security, helping development, infrastructure, and security teams build innovative solutions that are secure, resilient, and compliant. If you're passionate about emerging technologies, security architecture, and influencing enterprise-wide standards, we'd love to hear from you.
In this role you'll
- 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 adversa...