Principal Cloud and AI Security Architect
The Principal Cybersecurity Architect is responsible for driving enterprise-wide technology security strategy and providing technical expertise to business areas and project teams with an emphasis on implementation of innovative, leading-edge security technology solutions. The ideal candidate will display:
Strategic Leadership, Collaboration, and Accomplishments
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Proven Track Record of accomplishments and experience leading the design and deployment of AI Architectures (both On-Premise and Public Cloud) and driving and deploying Secure Cloud Adoption on an enterprise scale from Foundational Security Controls to Cloud migrations. Extensive experience migrating from a large scale onprem datacenter to the cloud while maintaining the proper levels of security, compliance and regulatory adherence.
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Cross-Functional Communication : Bridging gaps between data scientists, engineers, AI Architects, Cloud Architects, Data Protection professionals, legal, and executive teams.
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Security Evangelism : Promoting secure-by-design principles across AI and Cloud initiatives.
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Mentorship & Governance : Leading security teams and establishing governance frameworks for AI and Public Cloud adoption.
AI-Specific Security Expertise
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Understanding of AI/ML Risks : Knowledge of adversarial attacks, model poisoning, data drift, and bias.
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Model Connectivity & Secure Deployment : Leadership experience with connecting User Interfaces to LLMs, Retrieval-Augmented Generation “RAG” solutions, Agent to Agent architecture design, and securing Model Context Protocol “MCP” deployments, both on-premise and in the cloud.
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AI Lifecycle Security : Securing data pipelines, training environments, inference APIs, and monitoring systems.
Enterprise Security Architecture
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Zero Trust & Identity Management : Designing architectures that enforce least privilege and secure identity across AI and Cloud systems.
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Cloud & Hybrid Security : Expertise in securing AI workloads across AWS and Azure, and on-prem environments.Experience leading the Secure design of Cloud Foundational Controls across AWS and Azure.
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Security Design Patterns : Lead architectural requirements and gain consensus on the use of reusable, scalable patterns for secure AI integration.
Technical Depth in AI & Cloud Infrastructure
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API & Data Security : Securing AI APIs, leading design discussions on strategies to protect data within AI solutions, managing data access controls, designing secure MCP solutions and preventing data leakage.
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AI System Integration : Designing secure integration points between AI systems and enterprise platforms.
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Public Cloud Integration : Proven track record of driving an Enterprise on Public Cloud Foundational controls and taking a leadership role on Secure Cloud migrations from on-Premise to Public Cloud solutions.
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Model Usage Procedures : Designed procedures for organization wide governance on the usage/approval of AI Models.
Regulatory & Compliance Knowledge
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Healthcare Regulations : Deep familiarity with HIPAA, NIST and emerging AI and Cloud governance frameworks.
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Audit & Risk Management : Ability to design systems that meet audit requirements, mitigate compliance risks, and ensuring Public Cloud environments maintain Audit Readiness.
What We Require
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6+ years related work experience as an Architect working on progressively complex IT and Cybersecurity projects
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Related Bachelor’s degree or additional related equivalent work experience IT related field
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Required Licenses and Certifications CISSP - Cert Information Systems Security Prof 180 Days
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Expert proficiency in creating architectural designs for gradually complex designs
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Expert consulting, negotiating, communicating, consensus building, presentation and facilitation skills
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Mastery of a variety of hardware platforms including mainframes, distributed platforms, desktops, and mobile devices.
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Expert-level know