AI Security Architect
Boston, MA, US • Posted 1 day ago • Updated 10 minutes agoContract Independent
Contract W2
Contract Corp To Corp
On-site
$85 per hour


DCode Talent
Fitment
Dice Job Match Score™
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Job Details
Skills
- OpenAI
- Copilot
- Azure AI Foundry
- AI tools
- MCP
- LLMs
- Microsoft Entra ID
Summary
Job Summary:
AI Security Architect
- Define and validate secure architectures for AI agents and GenAI platforms in a regulated investment environment.
- Evaluate emerging AI tools, LLM platforms, and frameworks for security and compliance risks.
- Design secure architectures to ensure data privacy, IP protection, and isolation for AI agents.
- Conduct AI-specific threat modeling, including prompt injection, data poisoning, and model inversion.
- Assess security controls for Azure AI Foundry, Azure OpenAI, M365 Copilot Studio, and Microsoft Graph API.
- Establish Model Context Protocol (MCP) security patterns and context isolation strategies.
- Develop and maintain AI security standards, hardening guidelines, and governance principles.
- Implement identity, secrets, and integration patterns using Entra ID, Managed Identities, and Azure Key Vault.
- Enable robust logging, monitoring, and auditability for AI agent activities.
- Support secure AI deployments within CI/CD pipelines and participate in enterprise architecture reviews.
- Apply hands-on Azure engineering and governance expertise in a hybrid work setting (local applicants only, 3 days onsite).
- No sponsorship available for this role.
- Define and validate secure architectures for AI agents and GenAI platforms in a regulated investment environment.
- Evaluate emerging AI tools, LLM platforms, and frameworks for security and compliance risks.
- Design secure architectures to ensure data privacy, IP protection, and isolation for AI agents.
- Conduct AI-specific threat modeling, including prompt injection, data poisoning, and model inversion.
- Assess security controls for Azure AI Foundry, Azure OpenAI, M365 Copilot Studio, and Microsoft Graph API.
- Establish Model Context Protocol (MCP) security patterns and context isolation strategies.
- Develop and maintain AI security standards, hardening guidelines, and governance principles.
- Implement identity, secrets, and integration patterns using Entra ID, Managed Identities, and Azure Key Vault.
- Enable robust logging, monitoring, and auditability for AI agent activities.
- Support secure AI deployments within CI/CD pipelines and participate in enterprise architecture reviews.
- Apply hands-on Azure engineering and governance expertise in a hybrid work setting (local applicants only, 3 days onsite).
- No sponsorship available for this role.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91166691
- Position Id: 2026-304
- Posted 1 day ago
Company Info
About DCode Talent
At Dcode Talent, we specialize in IT staffing and consulting services, connecting skilled professionals with top companies. Our expertise spans across multiple industries, ensuring that businesses find the right talent and IT professionals achieve their career goals.
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