Lead AI Platform Enterprise Architect (Hybrid)

PRI Technology; Jersey City (NJ); Hybrid; USD 180,000 - 230,000; Full time

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.