Agentic Ai Systems Cybersecurity Jobs

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Principal AI & Cloud Security Engineer

Banner Bank Remote 🌍 Remote

Remote

Today

$135k - $178k/yr Full time Agent Agentic Ai Agentic Ai Systems

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Job Description

Principal AI & Cloud Security Engineer role for a remote, senior individual contributor responsible for securing AI-powered solutions and Azure cloud adoption across the organization.

Responsibilities

Define and lead enterprise security strategy and architecture for AI-powered systems and Azure cloud environments, covering 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 for AI systems and Azure-hosted workloads, addressing risks from adversarial inputs, cloud vulnerabilities, autonomous agents, and emerging attack vectors.
Assess AI-generated and cloud-integrated code for security, quality, correctness, and performance; define enterprise standards for secure code review.
Architect and oversee security tooling and monitoring to evaluate, monitor, and harden AI agents and Azure resources at scale using Microsoft Defender for Cloud, Azure Monitor, and Microsoft Sentinel.
Embed security governance into the software development lifecycle and Azure DevSecOps pipelines via Security Posture Management, Azure Policy, Key Vault, and Infrastructure-as-Code standards.
Research emerging AI and cloud security threats, regulations, and industry trends; translate findings into actionable enterprise security improvements.
Mentor and influence engineering teams on secure AI adoption, cloud security best practices, and enterprise security standards.

Requirements

Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field (Required). An equivalent combination of education and experience may be considered in lieu of a degree.
Master’s degree (Preferred).
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).
Financial services or banking environment experience (Preferred).
Industry-recognized security certifications such as CISSP, Azure Security Engineer, GIAC, or similar credentials (Preferred).

Technologies

Azure
Claude
GitHub Copilot
Microsoft Defender for Cloud
Azure Monitor
Microsoft Sentinel
Microsoft Entra ID
Azure Policy
Key Vault
Security Posture Management
Infrastructure-as-Code
Bicep
ARM
Terraform
Python
Go
Rust
C/C++

Benefits

Targeted starting salary range (based on geography & experience): $135,000 - $178,000 per year.
Comprehensive employee benefits: medical, dental, vision, LTD, STD, and life.
Paid vacation, sick time, and 11 company paid holidays.
401k with up to 4% match.
Tuition reimbursement.

What Helps You Shine

Ability to communicate complex security concepts clearly to both technical and non-technical audiences.
Strength in analyzing emerging threats and translating risks into practical enterprise security strategies.
Deep expertise in Azure cloud security, including Microsoft Entra ID, network security, data protection, defense-in-depth, and zero-trust architecture.
Understanding of how to secure and govern AI/ML platforms, large language models, and agentic AI architectures.
Hands-on experience evaluating AI-generated outputs and implementing guardrails, validation controls, and runtime protections.
Advanced secure coding and DevSecOps experience across modern languages such as Python, Go, Rust, or C/C++.
Knowledge of Cloud Security Posture Management and Infrastructure-as-Code, including Bicep, ARM, and Terraform.
Understanding of regulatory, risk, and security considerations common within financial services environments.

Travel

Up to 20% travel may be required.

Location: Remote

Minimum experience: 8 years

Education: Bachelor’s degree in a related field (or equivalent education and experience)

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