Information Security AI Architect
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- Richmond, Virginia, United States
- Richmond, Virginia, United States
About
Shaw Systems
Location:
Richmond, VA
Remote
Type:
Full-time
Posted:
27 days ago
Overview The Information Security Architect is responsible for designing secure, compliant, and scalable architectures that enable the organization to safely adopt Microsoft 365 Copilot, large language models (LLMs), AI agents, and intelligent automation. This role blends deep expertise in Microsoft Purview, cloud security, responsible AI, and enterprise productivity tooling. A core mandate includes implementing strong data ringfencing controls to ensure sensitive information remains within trusted network boundaries, while also driving measurable business value from Copilot in Microsoft 365 (M365) through secure enablement, workflow optimization, and governed adoption while limiting access to other AI resources from the company network not approved by the Information Security Office. This individual will lead the company’s M365 CoPilot Purview implementation setting many of the foundational pre‑requisites required for a successful and secure AI ecosphere.
Key Responsibilities
AI, LLM, Copilot, and Agent Security Architecture: Design and define secure architectures and governance for AI systems.
Data RingFencing & Boundary Protection: Implement data ringfencing strategies and controls to prevent sensitive data breaches.
Business Value Realization with Microsoft 365 Copilot: Lead secure adoption of Microsoft 365 Copilot, aligning with data governance and security policies.
AIDriven Automation & Enterprise Productivity: Architect secure AI agent frameworks to automate business processes.
Microsoft Purview Strategy & Data Governance: Lead the enterprise strategy for Microsoft Purview to support AI and Copilot use cases.
Information Security & Compliance: Define and enforce security baselines for AI workloads and ensure compliance with AI regulations.
CrossFunctional Leadership: Serve as SME for secure AI and Copilot adoption, guiding various teams.
Monitoring, Observability & Continuous Improvement: Implement monitoring for AI usage and automate governance checks.
Required Qualifications
7+ years in information security, cloud architecture, or data governance.
2+ years of hands‑on AI experience in an implementation and/or architecture role.
Strong experience with Microsoft Purview, Azure security services, and cloud governance frameworks.
Strong understanding of LLMs, generative AI, RAG architectures, AI agent frameworks, and Microsoft 365 Copilot.
Proven experience driving business value through Microsoft 365 Copilot.
Expertise in identity and access management, data protection, and secure cloud architecture.
Experience implementing ringfencing, network segmentation, and databoundary controls in Azure or AWS.
Excellent communication skills.
Preferred Qualifications
Certifications such as Azure Solutions Architect, Azure Security Engineer, CISSP, CCSP, or equivalent.
Experience with enterprise AI platforms, vector databases, and MLOps pipelines.
Knowledge of AI observability, model risk management, and responsible AI frameworks.
Background in data architecture, automation engineering, or enterprise integration.
Core Competencies
Strategic thinker with the ability to influence across teams.
Strong communication skills to simplify complex AI concepts.
Ability to work effectively with managers, technical leads, and staff.
Passion for secure, ethical, and innovative use of AI.
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Languages
- English
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