Principal AI & Cloud Security Engineer (Remote only within WA, ID, OR)
Leads the security strategy for AI and Azure cloud adoption, defining controls, threat models, and DevSecOps practices to protect enterprise systems and agentic workflows.
- Compensation
- $135K–$178K / yr
- Location
- Washington
- Work setup
- Remote
- Seniority
- Principal
- Employment
- Full time
- Experience
- 8+ years
- Category
- Security
- Posted
Skills
Must have
- 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 consid
Full description
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 tenth consecutive year.
With more than $18 billion in assets and 150 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
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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.
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Establish and govern security controls, guardrails, and runtime protections for agentic AI workflows, including tools such as Claude, GitHub Copilot, and custom AI agents.
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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.
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Evaluate AI-generated and cloud-integrated code for security, quality, correctness, and performance, and define enterprise standards for secure code review practices.
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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.
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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.