Lead AI Gateway Security Engineer

Jobtailor; McLean (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking a senior cloud security engineer to design, deploy, and maintain enterprise AI gateway capabilities across multi-cloud and federal environments. You will lead implementation of AI security controls and secure API integrations.

The role focuses on scalable, highly available security architectures, policy-as-code automation, and governance, partnering with cloud engineering, security operations, and DevSecOps teams to drive remediation and continuous improvement.

Qualifications

• 10+ years in cloud security or related fields.
• Experience deploying AI security measures in multi-cloud/federal environments.
• Experience with API integrations and M2M authentication (OAuth, API keys).
• Experience with AI architectures and LLM inference workflows.
• Familiarity with federal security requirements is preferred.

Responsibilities

• Design and deploy enterprise AI gateway security across multi-cloud and federal environments.
• Lead implementation of guardrails and policy enforcement for secure AI workflows.
• Automate policy-as-code, remediation, and governance using Kubernetes, Terraform, and OPA.
• Mentor team members and collaborate with cloud engineering, security operations, and DevSecOps.
• Maintain high availability architectures and drive continuous improvement.

Skills

Cloud Security

Cybersecurity Operations

Security Engineering

API Integrations

Kubernetes

Education

Bachelor's degree

Tools

Kubernetes

Terraform

CI/CD

Open Policy Agent (OPA)

Wiz

Job description

• Design, deploy, integrate, and maintain enterprise AI gateway capabilities across complex, multi-cloud, and federal environments
• Lead implementation of AI security controls, including guardrails, policy enforcement, secure API integrations, and machine-to-machine authentication supporting LLM inference and agent-based architectures
• Develop scalable, highly available security architectures
• Automate policy-as-code, remediation workflows, and governance controls using Kubernetes, Terraform, CI/CD, APIs, scripting, and OPA
• Lead continuous improvement of security workflows, playbooks, escalation paths, service-level expectations, and governance processes supporting Wiz and cloud security tools
• Partner with cloud engineering, security operations, compliance, DevSecOps, application, and system-owner teams to operationalize findings and drive remediation to closure
• Mentor and potentially supervise technical team members
• Work without considerable direction

Requirements

• 10+ years of experience in cloud security, cybersecurity operations, security engineering, or vulnerability management
• Experience deploying, configuring, and administering AI security measures such as AI gateways and guardrails in large, complex, and multi-cloud environments
• Experience with API integrations and machine-to-machine authentication and authorization such as API keys and OAuth
• Experience with AI application and agent architectures or protocols, including LLM inference, MCP, and A2A
• Experience supporting security tooling within federal environments
• Experience building high availability architectures to support enterprise scale deployments
• Ability to implement, operationalize, and maintain enterprise cloud security policies and governance controls
• Ability to automate tooling and workflows via APIs, Terraform, Kubernetes, or scripting
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree
• Experience with Kong AI Gateway
• Experience deploying and managing Kubernetes infrastructure
• Experience using CI/CD to manage and deploy policy as code
• Experience with Open Policy Agent (OPA)
• Experience coding custom plugins for AI Gateways
• Kong Gateway Certified Associate Certification
• Cloud security certifications such as CISSP, CCSP, Security+, AWS Security Specialty, or Microsoft Azure Security Engineer
• Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client
• Must comply with the prohibition on using AI or other tools during interviews unless permission is explicitly provided

Core Competencies

Demonstrates expertise in designing and implementing enterprise AI security architectures, including policy enforcement and secure API integrations. Proficient in automating workflows and governance controls using tools like Kubernetes and Terraform within complex, multi-cloud environments.

Highest-signal resume keywords

• Cloud Security
• AI Security Measures
• Kubernetes Infrastructure Management
• Policy Automation
• Kong AI Gateway

Hard Skills

• Cloud Security
• Cybersecurity Operations
• Security Engineering
• Vulnerability Management
• API Integrations
• Machine-to-Machine Authentication
• AI Application Architectures
• High Availability Architectures
• Policy as Code
• Custom Plugin Development

Soft Skills

• Mentoring
• Collaboration
• Leadership

Certifications & Qualifications

• Kong Gateway Certified Associate
• CISSP
• CCSP
• Security+
• AWS Security Specialty
• Microsoft Azure Security Engineer

Industry Keywords

• Multi-Cloud Environments
• Federal Environments
• AI Gateways
• Guardrails
• Governance Controls

Tools & Technologies

• Kubernetes
• Terraform
• CI/CD
• Open Policy Agent (OPA)
• Wiz
• Cloud Security Tools