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

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 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.

What we’re looking for

• You have a Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field (Required). An equivalent combination of education and experience can be considered in lieu of a degree.
• You have a Master’s degree (Preferred).
• 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 (Required).
• You have experience within financial services or banking environments (Preferred).
• You hold industry-recognized security certifications such as CISSP, Azure Security Engineer, GIAC, or similar credentials (Preferred).

What helps you shine

• You communicate complex security concepts clearly and effectively to both technical and non-technical audiences.
• You excel at analyzing emerging threats and translating risks into practical enterprise security strategies.
• You bring deep expertise in Azure cloud security, including Microsoft Entra ID, network security, data protection, defense-in-depth, and zero-trust architecture.
• You understand how to secure and govern AI/ML platforms, large language models, and agentic AI architectures.
• You have hands-on experience evaluating AI-generated outputs and implementing guardrails, validation controls, and runtime protections.
• You possess advanced secure coding and DevSecOps exper…