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Principal AI & Cloud Security Engineer
Banner BankPrincipal AI & Cloud Security Engineer shaping secure AI adoption and Azure cloud strategies at Banner Bank. Overseeing enterprise security in innovative AI solutions to ensure compliance and resilience.
Core Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates expertise in defining and leading enterprise security strategies for AI-powered systems and Azure cloud environments, with a strong focus on security controls, threat modeling, and secure software development lifecycle practices. Proficient in mentoring teams on cloud security best practices and integrating security governance into development processes.
ATS Keywords
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Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- 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
What you’ll need- 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).
Benefits
Comp & perks- Robust uncapped quarterly incentive plan
- Comprehensive employee benefits, including: medical, dental, vision, LTD, STD and life
- Paid vacation time, sick time and 11 company paid holidays
- 401k (with up to 4% match)
- Tuition reimbursement