> Markdown version of [/jobs/ext/2855146-principal-technical-architect-ai-data-platforms-cyber-security](https://www.wearedevelopers.com/jobs/ext/2855146-principal-technical-architect-ai-data-platforms-cyber-security). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Principal Technical Architect - AI, Data Platforms & Cyber Security

- **Company:** St Vincent Depaul Food Pantry
- **Location:** Princeton, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Big Data, Software Quality, Cyber Security, Data Governance, Python (Programming Language), OAuth, Zero Trust Network Access, Information Technology Security Auditing, Security Information and Event Management, Software Engineering, SQL Databases, Systems Integration, YAML, Enterprise Data Management, Data Logging, Google Cloud, Data Classification, Okta, GitHub Copilot, Large Language Models, Multi-Agent Systems, Multi-Cloud, Data Lakes, Data Management, Machine Learning Operations, Databricks
- **Published:** September 11, 2026
- **Apply:** https://www.careerjet.com/jobad/usca7d245d0975e5b1d0f7c0914db129da

## About the Role

Professional Experience
10+ years of progressive experience in software engineering, enterprise data platforms, AI systems, and technical/security architecture within high-volume enterprise environments.
Proven track record of architecting scalable solutions adopted across large organizations while maintaining high standards of data protection and zero-trust security.
Experience leading enterprise-wide technology adoption programs, platform migrations, and security governance frameworks.
Technical Stack & Competencies

## Description

1. AI Systems & Multi-Agent Architecture
Architect Multi-Agent AI Pipelines: Design end-to-end, LLM-powered multi-agent frameworks (deterministic + generative) using Pydantic contracts, asynchronous Python, and provider-agnostic model integration (e.g., OpenAI SDK, Databricks Model Serving).
AI Tooling & Scaffolding: Build graph-based execution builders, dynamic YAML rules engines, capability registry patterns, and structured diagnostic retry mechanisms for LLM agents.
Human-in-the-Loop Integration: Implement validation and curation layers that enable user DAG editing, schema validation, and error repair before scaffold generation.

 2. AI Security, Risk & Guardrails
LLM Threat Modeling & Abuse Prevention: Lead abuse-case modeling, prompt injection defense, jailbreak mitigation, and red-teaming strategies for LLM agents and RAG architectures.
Output Guardrails & Data Protection: Implement payload masking, custom SQL validation layers, row-count caps, and automated PII/PCI detection to prevent data exfiltration via AI interfaces.
Identity & Access Governance: Architect hybrid identity flows (OAuth 2.0, Okta/Entra ID), Service Principal access patterns, and automated token lifecycle/rotation management (e.g., Delta Sharing tokens).

 3. Enterprise Data Platforms & Observability
Databricks Estate Architecture: Lead large-scale data platform migrations, estate auto-discovery, and governance automation across Databricks workspaces (Unity Catalog, Workflows, Jobs API, Delta Lake, Delta Sharing).
Data Governance & Zero-Trust Access: Enforce fine-grained authorization models including Row-Level Security (RLS), dynamic column masking, and centralized data classification in Unity Catalog.
Data Quality & Observability Frameworks: Design automated, multi-tiered data quality verification platforms capable of real-time incident detection, automated table onboarding, and continuous file freshness tracking.
Platform Governance & FinOps: Oversee multi-cloud cost governance (AWS, Azure, GCP), resource optimization, and infrastructure governance to maximize ROI while maintaining compliance.

 4. Enterprise GenAI Adoption & Governance
Org-Wide Transformation: Define and execute adoption strategies for developer AI tooling (e.g., GitHub Copilot, custom LLM assistants) and establish measurement frameworks for code quality, productivity gains, and ROI.
Enablement & Standards: Conduct technical workshops, build best-practices documentation, create reusable architectural patterns, and mentor engineering teams across divisions.
Compliance & Security Auditing: Oversee access recertification, SIEM logging/auditing mechanisms, and regulatory compliance (e.g., regional data residency and vendor risk governance)., Job Title: Cyber Security Architect Job Location: Princeton, NJ & NYC, NY Job Type: Full-Time Job Description: Define and maintain the organization's cybersecurity strategy, …

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