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Senior Cybersecurity Engineer – AI Security & Cloud Platforms

We are seeking a hands-on Senior Cybersecurity Engineer to lead the security engineering and operational oversight of enterprise AI platforms, Azure cloud infrastructure, and modern cybersecurity technologies. This individual will play a key role in designing, implementing, and maintaining security controls that protect highly sensitive business data while supporting secure adoption of AI technologies across the organization.

Key Responsibilities

AI Security & Platform Operations

• Administer and optimize enterprise AI security platforms including Harmonic Security, LayerX, AppOmni, or similar technologies.
• Develop and maintain security policies, alert tuning, detection logic, and platform integrations with identity, endpoint protection, and data loss prevention solutions.
• Collaborate with third-party vendors supporting enterprise AI environments while maintaining operational ownership, documentation, and incident readiness.
• Manage governance and security controls for enterprise AI platforms such as OpenAI ChatGPT Enterprise, Google Gemini Enterprise, and Anthropic Claude Enterprise.
• Oversee identity federation, SCIM provisioning, audit logging, compliance API integrations, and secure access to AI applications.
• Support and continuously improve the organization's vulnerability management program, including integration with monitoring and observability platforms such as Grafana.
• Develop and maintain AI governance standards, operational procedures, and secure intake processes for evaluating new AI use cases.

Cloud Security Engineering

• Manage and improve the organization's Microsoft Azure security posture across enterprise cloud environments.
• Secure Azure resources including Azure Virtual Desktop (AVD), FSLogix, Azure Front Door, API Management (APIM), Key Vault, Private Endpoints, storage, networking, and compute services.
• Design secure-by-default cloud architectures for new applications and infrastructure deployments.
• Develop and maintain Infrastructure-as-Code using Terraform, including reusable modules, state management, and deployment automation.
• Support DevOps and CI/CD pipelines while automating security controls and operational processes.
• Produce technical documentation, operational runbooks, and platform standards to support ongoing engineering efforts.
• Partner with infrastructure and application teams to ensure cloud-native and AI solutions are designed and deployed with security embedded throughout the development lifecycle.

Security Engineering & Detection

• Design, implement, and maintain detection content across Microsoft Sentinel, Microsoft Defender, Darktrace, Taegis, or comparable security platforms.
• Create, refine, and optimize security alerts, detection rules, and automated response workflows.
• Develop Conditional Access policies and identity security controls within Microsoft Entra ID.
• Participate in incident response, security investigations, and remediation efforts involving cloud and enterprise environments.
• Conduct architecture and security design reviews to validate that new technologies meet organizational security standards before production deployment.
• Support third-party security assessments, vendor due diligence activities, and broader cybersecurity initiatives as needed.

Required Qualifications

• 7–10 years of experience in cybersecurity engineering, cloud security, DevSecOps, or related security engineering disciplines.
• Extensive hands-on experience securing Microsoft Azure environments.
• Strong knowledge of Microsoft Entra ID, Conditional Access, Defender for Cloud, Microsoft Sentinel, Azure Policy, Azure networking, Key Vault, Private Endpoints, and core Azure infrastructure services.
• Advanced Terraform experience, including reusable module development, Infrastructure-as-Code best practices, pipeline integration, and migration of manually deployed resources into code-based deployments.
• Experience working with AI security technologies including Harmonic Security, LayerX, Nightfall, AppOmni, or equivalent platforms.
• Understanding of prompt-level DLP, shadow AI detection, agentic workflows, and security considerations surrounding large language models (LLMs).
• Experience building and tuning detections across enterprise security platforms including Sentinel, Defender, Darktrace, Taegis, or similar SIEM/XDR solutions.
• Strong background in identity and access management, including Microsoft Entra ID architecture and Conditional Access policy design.
• Experience supporting regulated environments involving highly sensitive financial, customer, or confidential data.
• Working knowledge of security and compliance frameworks such as SOC 2, GLBA, SEC requirements, or similar regulatory standards.
• Excellent written and verbal communication skills with the ability to communicate technical risks to both technical and executive stakeholders.

Preferred Qualifications

• Previous experience supporting private equity, investment management, financial services, or similarly regulated industries.
• Experience with Britive, Island Enterprise Browser, Proofpoint, Darktrace, Taegis, or comparable enterprise security technologies.
• Experience securing Snowflake environments, including row-level security, audit logging, and data segregation controls.
• Familiarity with enterprise AI Landing Zone architectures or large-scale AI platform deployments.
• Industry certifications such as CISSP, AZ-500, GIAC GCSA, GPCS, or equivalent security certifications.

What We're Looking For

We're seeking a technically driven cybersecurity professional who enjoys building, securing, and continuously improving modern cloud and AI environments. The ideal candidate combines strong engineering expertise with a security-first mindset, thrives in hands-on technical work, and takes ownership of the platforms they support. This individual should be comfortable working in a collaborative environment, balancing innovation with risk management while helping secure rapidly evolving cloud and AI technologies.