What are the responsibilities and job description for the Information Security AI Architect position at Shaw Systems Associates, LLC?
Shaw Systems is accelerating its secure AI transformation — and we’re hiring an Information Security AI Architect to lead the design of our next‑generation, secure, compliant, and scalable AI ecosystem.
In this role, you will architect the guardrails, governance, and data‑protection frameworks that enable safe enterprise adoption of Microsoft 365 Copilot, LLMs, AI agents, and intelligent automation. You’ll own our Purview‑driven AI governance strategy, implement data ring‑fencing, and ensure all AI workloads operate within trusted boundaries.
This is a hands‑on, high‑impact role for someone who can blend security architecture, AI governance, and enterprise productivity enablement.
What You’ll DoAI, LLM & Copilot Security Architecture- Design secure architectures for Microsoft 365 Copilot, LLMs, RAG pipelines, and autonomous AI agents.
- Define identity boundaries, access controls, and safe‑use guardrails for AI systems.
- Establish governance for prompt security, input/output filtering, and responsible AI patterns.
- Ensure all AI workloads operate within approved network zones and data boundaries.
- Implement ring‑fencing strategies to prevent sensitive data from leaving trusted environments.
- Design network segmentation, private endpoints, and isolation zones for AI workloads.
- Enforce policy‑controlled access for Copilot, LLMs, vector stores, and AI agents.
- Build automated controls using DLP, egress filtering, and Purview enforcement.
- Lead secure enterprise adoption of Copilot across the organization.
- Identify high‑value use cases that drive measurable productivity and workflow optimization.
- Develop Copilot usage frameworks, success metrics, and ROI reporting.
- Ensure Copilot respects sensitivity labels, retention policies, and governance rules.
- Architect secure AI agent frameworks for process automation and decision support.
- Evaluate and implement AI copilots and intelligent assistants across departments.
- Define human‑in‑the‑loop oversight, escalation paths, and monitoring standards.
- Lead enterprise Purview strategy for classification, labeling, lineage, and governance.
- Implement automated workflows ensuring AI systems only access authorized data.
- Define and enforce security baselines for AI workloads (identity, encryption, segmentation).
- Ensure compliance with emerging AI regulations and model risk management.
- Conduct threat modeling for prompt injection, data leakage, model manipulation, and supply‑chain risks.
- Serve as the enterprise SME for secure AI and Copilot adoption.
- Translate complex AI security concepts into actionable guidance for technical and business teams.
- Lead architecture reviews for AI‑enabled applications and agent‑based automation.
- Implement monitoring for Copilot usage, LLM interactions, and agent actions.
- Automate governance checks using Purview, Azure Policy, and CI/CD pipelines.
- Continuously evaluate emerging AI threats and best practices.
- 7 years in information security, cloud architecture, or data governance.
- 2 years hands‑on AI implementation or architecture experience.
- Strong experience with Microsoft Purview, Azure security, and cloud governance.
- Deep understanding of LLMs, RAG architectures, AI agents, and Microsoft 365 Copilot.
- Proven ability to drive business value through Copilot adoption and workflow optimization.
- Expertise in identity, access management, data protection, and secure cloud architecture.
- Experience implementing ring‑fencing, segmentation, and data‑boundary controls.
- Excellent communication skills for both technical and non‑technical audiences.
- Certifications: Azure Solutions Architect, Azure Security Engineer, CISSP, CCSP, or equivalent.
- Experience with enterprise AI platforms, vector databases, or MLOps pipelines.
- Knowledge of AI observability, model risk management, and responsible AI frameworks.
- Background in data architecture, automation engineering, or enterprise integration.
- Strategic thinker with strong influence across technical and business teams.
- Ability to simplify complex AI and Copilot concepts.
- Skilled at partnering with managers, technical leads, and engineering teams.
- Passion for secure, ethical, and innovative use of AI to transform operations.
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