Lead AI Platform Enterprise Architect (Hybrid)

PRI Technology

Jersey City (NJ)

Hybrid

USD 180,000 - 230,000

Full time

12 hours ago
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Benefits offered by this job

Generous benefits package

Job summary

PRI Technology in Jersey City, NJ is seeking an Enterprise Architect with a focus on AI to lead a small team. The role is 3 days onsite and 2 days remote, driving design and governance of AI platform capabilities.

You will guide the architecture across AI models, data pipelines, security and compliance, and integration with enterprise systems, delivering scalable, resilient solutions.

Qualifications

  • 10+ years of enterprise architecture experience.
  • 5+ years focused on AI/ML platforms and solutions.
  • Strong background in large-scale distributed systems.
  • Experience with major cloud AI services and platforms.
  • Deep understanding of AI security and governance requirements.
  • Expert knowledge of AI/ML architectures and platforms.
  • Expertise in data architecture and integration patterns.
  • Strong technical leadership and communication abilities.
  • Experience with LLMs and GenAI technologies.
  • Knowledge of MLOps and model lifecycle management.

Responsibilities

  • Design and maintain client’s enterprise AI platform architecture.
  • Establish technical standards and integration patterns for AI services.
  • Lead governance, security, and compliance across AI implementations.
  • Define roadmaps and monitor platform scalability and performance.
  • Guide teams on technical implementation approaches and reusable components.
  • Review and approve AI solution designs and ensure EA standards.

Skills

Enterprise Architecture
AI/ML Platforms
Distributed Systems
Cloud AI Services
AI Security & Governance
AI/ML Architectures
Data Architecture
MLOps
Leadership & Communication
RAG Architectures

Job description

PRI Technology in Jersey City, NJ is seeking an Enterprise Architect with a focus on AI to lead a small team. The role is 3 days onsite and 2 days remote, driving design and governance of AI platform capabilities.

You will guide the architecture across AI models, data pipelines, security and compliance, and integration with enterprise systems, delivering scalable, resilient solutions.

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