Principal AI Architect
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Job Description
Principal AI Architect at Atlas Technica overseeing AI projects and designs while ensuring compliance and security. Hands-on role focusing on governance frameworks and architecting client solutions.
Responsibilities:
- Architect the "Safe Zone" (Tier 2): Design the technical middleware using Microsoft Graph API (Sites.Selected) to solve the "Permission Inheritance Trap". You will build the frameworks that restrict AI tools to curated, pristine data libraries.
- Design Forensic Compliance (Tier 3): Implement enterprise-grade prompt journaling and audit logging. You will architect the integration between LLMs and archival platforms like Global Relay and Smarsh to ensure prompt journaling meets SEC/FINRA standards (Rule 17a-4).
- Lead the Atlas AI Lab: Own our internal sandbox environment. You will design, break, and validate new AI security protocols (e.g., Shadow AI blocking via Cato Networks) before they ever touch a client’s production environment.
- Oversee the "AI Project Machine": Act as the lead architect for bespoke client builds. This includes provisioning Azure AI Foundry enclaves and building Model Context Protocol (MCP) servers to connect LLMs to specialized data sources (e.g., Bloomberg, SQL, BioMedical data).
- Lead Technical Validation: Perform feasibility studies against client tenant infrastructure. You are the "Go/No-Go" gate for technical scoping, ensuring our Bill of Materials (BOM) and hour estimates are accurate.
- Hands-On Execution: Serve as the final escalation point for complex deployments. You will write the PowerShell scripts, configure the Intune MAM policies for mobile AI defense, and build the "Golden Image" for AI-ready tenants.
Requirements:
- Microsoft Ecosystem Mastery: Deep expertise in Microsoft 365, SharePoint Online (unique permissions/broken inheritance), and Entra ID (Conditional Access).
- AI Infrastructure Fluency: Hands-on experience with Azure AI Foundry / Studio, the Azure Model Catalog, and frameworks like LangChain.
- Protocol Knowledge: Familiarity with MCP (Model Context Protocol) to connect LLMs to structured data sources (APIs, Databases).
- Security & Compliance: Expertise in Microsoft Purview (Sensitivity Labels, DLP) and Defender for Cloud Apps. You understand the difference between "logging" a prompt and "blocking" MNPI.
- Scripting & API Chops: Fluent in PowerShell and Python. You know how to manipulate the Graph API programmatically.
- Financial Services Context: Experience in a Hedge Fund, Private Equity firm, or highly regulated MSP is highly desirable. You understand the risk of alpha leakage and the requirements of regulatory audits.
Benefits:
- Performance-based Bonus
- Hybrid work environment (if NY/London based) or Remote
- Comprehensive Health, Dental, Vision & 401(k)
- Unlimited PTO
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