Senior Principal Technical Architect – AI, Data Platforms & Cyber Security
Hallmark Global Solutions LtdAbout the role
Senior Principal Technical Architect – AI, Data Platforms & Cyber Security
Location- Princeton, NJ & NYC, NY (Hybrid)
Fulltime
Job Description: Principal Technical Architect – AI, Data Platforms & Cyber Security
Department: Enterprise Architecture / Data, AI & Security Engineering
Experience Level: 15+ Years (Executive / Principal Level)
Role Overview
We are seeking a visionary and hands-on Principal Technical Architect to lead the architecture, design, security, and strategic evolution of our Enterprise Data Platforms and Multi-Agent GenAI Systems. In this role, you will bridge the gap between complex enterprise data engineering, modern cloud architecture, cutting-edge Generative AI applications, and enterprise cybersecurity controls.
You will design zero-touch automated data observability solutions, multi-agent AI pipelines, zero-trust data access patterns, and enterprise-wide GenAI adoption frameworks. The ideal candidate brings a deep technical background in Databricks, cloud platforms, Python, contract-driven LLM architectures, threat modeling for AI systems, and proven enterprise leadership in scaling and securing AI solutions across the organization.
Key Responsibilities
- 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.
- 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).
- 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.
- 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).
Required Qualifications & Technical Expertise
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
Required Skills & Technologies
AI & LLM Systems
Multi-agent frameworks, OpenAI APIs, Databricks Model Serving, Async Python (aiohttp), Pydantic, Prompt Engineering, Streamlit
Cyber Risk & AI Security
LLM Threat Modeling (Prompt Injection, Jailbreaking), Guardrails, OAuth 2.0 / Entra ID / Okta, Service Principals, Delta Sharing Security
Data Governance & Security
Unity Catalog (RLS, Dynamic Column Masking, PII/PCI classification), Zero-Trust Access Patterns, SIEM logging & audit trails
Data Engineering & Platforms
Databricks (Unity Catalog, Workflows, Delta Lake, Jobs API), PySpark, Data Observability, SQL / Relational Databases
Cloud & FinOps
AWS, Azure, GCP, Cloud Security Architecture, Cloud Cost Governance / FinOps frameworks
Languages & Core Tech
Python (Advanced Async), C#, .NET Core, SQL, REST API Architecture, YAML rule engines
Governance & Licensing
Infrastructure & Licensing Governance, Enterprise Developer Tooling Administration, Token Lifecycle Management
Responsibilities
- Architect Multi-Agent AI Pipelines using Pydantic contracts and asynchronous Python
- Build graph-based execution builders and dynamic YAML rules engines
- Implement validation and curation layers for user DAG editing
- Lead abuse-case modeling and prompt injection defense for LLM agents
- Implement data protection measures to prevent data exfiltration
- Architect hybrid identity flows and manage token lifecycle
- Lead large-scale data platform migrations and governance automation
- Design automated data quality verification platforms
Qualifications
- 10+ years of experience in software engineering and enterprise data platforms
- Proven track record of architecting scalable solutions
- Experience leading technology adoption programs and security governance
Skills mentioned
About Hallmark Global Solutions Ltd
Hallmark Global Solutions is established in the year 2002, Hallmark Global Solutions has an exceptional track record of transcending the core operations of its clients and helping them meet their ever-evolving market needs. We offer comprehensive and personalized solutions to our clients, who are IT companies, Retailers, Healthcare Technology providers, Industries ranging from Automobiles, Insurance Services, Retail Services, the Transportation industry, Banking and Finance, and Healthcare. Hallmark Global Solutions has also made considerable strides in providing consultancy and advocacy services to its clients by fulfilling their staffing and Human Resource Management requirements. The core strength of Hallmark Global lies in its ability to adapt to fast-emerging markets and consumer behavior that pose both challenges and opportunities.
H-1B sponsorship history
Historical employer filing data was found for Hallmark Global Solutions Ltd. The employer record includes 313 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.