​This is a 12-month+ contract position that is 100% remote. The role is dedicated to the secure deployment and governance of artificial intelligence across a large enterprise. You will act as the primary architect for securing AI agents, LLM integrations, and specialized platforms like Copilot Studio and Azure AI, ensuring that innovation does not come at the cost of data privacy or system integrity.

• ​Location: 100% Remote.
• ​Duration: 12-month+ contract.
• ​Focus: Designing security frameworks for AI, performing AI-specific threat modeling, and establishing governance for the lifecycle of AI agents.
• ​Core Ecosystem: Microsoft 365 (Copilot, Viva), Azure AI, Power Platform, and third-party LLM integrations.

​Key Responsibilities: AI Strategy and Defense

​The AI Architect must move beyond traditional infrastructure security to address the unique vulnerabilities inherent in machine learning and generative AI.

• ​AI Security Architecture: Develop security frameworks for Copilot Studio, Azure AI models, and Power Platform. Define access policies, logging, and monitoring specifically tuned for AI-enabled applications.
• ​Specialized Risk Management: Conduct assessments for AI-specific threats, including prompt injection, model drift, data leakage, and adversarial attacks.
• ​Governance & Privacy: Align AI usage with GDPR, CCPA, and internal data governance standards. You will bridge the gap between technical security and legal/compliance requirements.
• ​Secure Lifecycle Management: Define the “cradle-to-grave” standards for AI agents—from secure creation and prompt engineering best practices to monitoring and eventual retirement.
• ​Enterprise Integration: Partner with teams to securely embed AI into major operational platforms like ServiceNow, Oracle, and Microsoft Viva.
• ​Incident Response: Build specific incident response playbooks for AI-related events (e.g., an AI agent bypassing a security control or leaking sensitive data).

​Required Technical Skills & Experience

​This role requires a practitioner who understands both the “how” of AI deployment and the “how” of its exploitation.

• ​Platform Expertise: Strong hands-on experience with Microsoft Copilot Studio, Azure AI, and Power Platform security.
• ​Threat Vectors: Deep understanding of AI-specific vulnerabilities and secure prompt engineering techniques.
• ​Integration Knowledge: Familiarity with the security nuances of integrating AI into enterprise ecosystems (M365, ServiceNow, Oracle).
• ​Third-Party Evaluation: Proven experience assessing the security posture of third-party AI tools and providing go/no-go recommendations.
• ​Foundational Security: Solid background in Cloud Security Architecture, Identity and Access Management (IAM), and Data Protection.

​Why This Role is Unique

​This is a pioneer role. Most security teams are still reacting to AI; this architect is tasked with building the proactive governance structure that allows a company to use AI safely. You aren’t just managing firewalls; you are managing model interpretability and adversarial defense, making this a high-value career pivot for traditional security architects.