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# Enterprise Architect - Heavy AI/ML Focus

- **Company:** PRI Technology
- **Location:** Clark, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Cloud Engineering, Data Architecture, Distributed Systems, Monitoring of Systems, Azure Machine Learning, Enterprise Application Integration, Google Cloud, Retrieval-Augmented Generation, Large Language Models, AI Platforms, Machine Learning Operations
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75914638-enterprise-architect-heavy-ai-ml-focus

## About the Role

* 10+ years of enterprise architecture experience
 * 5+ years specifically 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
 * Strong enterprise architecture capabilities
 * Deep understanding of security and compliance requirements
 * Experience with cloud-native architectures
 * Knowledge of AI model lifecycle management
 * Expertise in data architecture and integration patterns
 * Strong technical leadership and communication abilities
 * Large Language Models and GenAI technologies
 * RAG architectures and implementation patterns
 * Cloud AI services (AWS, Azure, GCP)
 * Enterprise integration patterns
 * Security and compliance frameworks
 * Data architecture and governance
 * Model operations and MLOps

## Description

I have a full time role for one of our top tier clients in Iselin, NJ looking for an Enterprise Architect with AI focus. This role will be 3 days onsite, 2 days remote and lead a small team. Please see the job description below and let me know if you feel it's a good match., * Design and maintain Client's enterprise AI platform architecture

 * Establish technical standards for AI solution implementation
 * Define integration patterns for AI services across Client's technology landscape
 * Create and maintain AI reference architectures, including RAG implementations
 * Develop model registry and lifecycle management frameworks
 * Lead the technical design of AI platform components and services
 * Define agent orchestration standards and patterns
 * Establish guardrails for AI implementation and deployment
 * Create architectural patterns for knowledge base governance
 * Guide teams on technical implementation of AI solutions
 * Develop technical standards for AI model deployment and management
 * Create governance frameworks for AI platform components
 * Define security and compliance requirements for AI implementations
 * Establish monitoring and observability standards
 * Maintain architectural compliance across AI initiatives
 * Review and approve AI solution designs
 * Ensure alignment with enterprise architecture standards
 * Identify opportunities for reusable components
 * Guide teams on technical implementation approaches
 * Evaluate new AI technologies and platforms
 * Drive the evolution of Client's AI platform capabilities
 * Identify and evaluate emerging AI technologies
 * Define roadmap for platform capabilities and features
 * Ensure scalability and performance of AI solutions
 * Guide integration with existing enterprise systems