Enterprise Architect - Heavy AI/ML Focus

PRI Technology; Charlotte (NC); Hybrid; USD 140,000 - 210,000; Full time

Job summary

PRI Technology in Charlotte, NC is seeking an experienced Enterprise Architect with a focus on AI to lead a small team. The role is hybrid—3 days onsite and 2 days remote—driving enterprise AI platform architecture and governance across the technology landscape.

The ideal candidate has 10+ years in enterprise architecture and 5+ years in AI/ML platforms, with strong leadership and cloud expertise. A very generous base salary and comprehensive benefits are offered.

Qualifications

• 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.
• Security and compliance frameworks.
• Data architecture and governance.
• Model operations and MLOps

Responsibilities

• 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

Skills

Enterprise architecture

AI/ML platforms

Cloud-native architectures

Security & governance

Leadership

Communication

RAG architectures

Model ops / MLOps

AI platform governance

Tools

AWS

Azure

GCP

Kubernetes

Job description

I have a full time role for one of our top tier clients in Charlotte, NC 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.

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

Responsibilities:

• 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

Requirements:

• 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
• Security and compliance frameworks
• Data architecture and governance
• Model operations and MLOps