Enterprise AI Architect MMH261020-5

Role Purpose

Define, govern and evolve the organisation's Enterprise AI Architecture strategy,

standards and roadmap. Provide architecture leadership across Artificial Intelligence,

Machine Learning, Generative AI, agentic AI, intelligent automation, cloud AI platforms

and data ecosystems.

Requirements

• Minimum 8-10 years of experience in Enterprise Architecture, Solution
  
  

Architecture, AI/ML Architecture, Data Architecture, Software Engineering or

Platform Architecture.

• Experience with Machine Learning, Generative AI, Intelligent Automation and
  
  

Analytics solutions.

• Experience designing cloud-based AI and data architectures across AWS, Azure or
  
  

GCP.

• Strong experience with MLOps, LLMOps, model lifecycle management,
  
  

monitoring and production support frameworks.

Duties and Responsibilities

KEY ACCOUNTABILITIES/KRAs/KPIs

• Own and maintain the Enterprise AI Architecture Strategy, Roadmap, Standards
  
  

and Reference Architectures.

• Provide architecture leadership across GenAI, ML, LLMOps, MLOps, RAG, Vector
  
  

Databases, Embeddings, Agentic AI, Copilots and Intelligent Automation

solutions.

• Assess AI use cases based on business value, data readiness, architecture fit,
  
  

security, compliance, scalability and cost effectiveness.

• Define architecture guardrails, reusable patterns and implementation standards
  
  

for enterprise AI adoption.

• Guide selection and implementation of AI platforms, foundation models, cloud AI
  
  

services, vector databases, automation platforms and vendor solutions.

• Define production readiness criteria including evaluation processes, monitoring,
  
  

observability, auditability and operational support standards.

• Ensure compliance with Responsible AI, security, privacy, governance and
  
  

regulatory requirements.

• Support architecture governance forums and maintain architecture decision
  
  

records.

• Review solution designs and provide architecture assurance across AI initiatives.
• Drive enterprise-wide reuse of AI capabilities and minimise fragmented AI
  
  

experimentation.

• Mentor architects, engineers and delivery teams on AI architecture best
  
  

practices.

• Partner with business, engineering, data, cloud, cyber security, compliance and
  
  

procurement teams to deliver scalable AI capabilities.

• Evaluate technology trends and emerging AI innovations to support strategic
  
  

planning and continuous improvement.

As an applicant, please verify the legitimacy of this job advert on our company career page.

• 346021306
  
  

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