Enterprise Architect - Heavy AI/ML Focus

Job 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.

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This role does come with a very generous base salary and employee benefits package.

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Responsibilities:

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

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• 10+ years of enterprise architecture experience
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• 5+ years specifically focused on AI/ML platforms and solutions
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• Strong background in large-scale distributed systems
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• Experience with major cloud AI services and platforms
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• Deep understanding of AI security and governance requirements
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• Expert knowledge of AI/ML architectures and platforms
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• Strong enterprise architecture capabilities
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• Deep understanding of security and compliance requirements
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• Experience with cloud-native architectures
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• Knowledge of AI model lifecycle management
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• Expertise in data architecture and integration patterns
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• Strong technical leadership and communication abilities
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• Large Language Models and GenAI technologies
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• RAG architectures and implementation patterns
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• Cloud AI services (AWS, Azure, GCP)
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• Enterprise integration patterns
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• Security and compliance frameworks
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• Data architecture and governance
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• Model operations and MLOps
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Lori Sklarski

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Senior Technical Recruiter, PRI Technology

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View email address on ziprecruiter.com

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Direct:View phone number on ziprecruiter.com

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Office: View phone number on ziprecruiter.com

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Cell: View phone number on ziprecruiter.com

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