Perennial Resources International · 3 days ago
AI Platform Architect
Perennial Resources International is seeking an AI Platform Architect to design and maintain their enterprise AI platform architecture. The role involves establishing technical standards, leading technical design, and driving the evolution of AI platform capabilities while ensuring compliance and governance across AI initiatives.
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
Qualification
Required
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