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AI Solution Architect | Global MNC

AI Solution Architect | Global MNC

revup consulting
10-12 Years
Not Disclosed
  • Posted 4 hours ago
  • Be among the first 10 applicants

Job Description

About the role

Our client is a global company with a large international footprint in over 30 countries. It is hiring an AI Solution Architect to own enterprise AI architecture on the Microsoft Azure stack, reporting to senior data and AI leadership.

This is an architecture and governance seat. You set the standards and reference designs, and you assure the AI solutions that other teams build.

What you will do

  • Define and govern the enterprise AI architecture: principles, guardrails, reference designs and reusable patterns
  • Architect machine learning, generative AI, RAG, copilots and multi-agent solutions on Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure AI Search and Microsoft Fabric
  • Set MLOps and LLMOps standards covering evaluation, model and prompt lifecycle, CI/CD and monitoring
  • Define secure patterns for RAG and AI agents, including identity, access control, audit and containment
  • Lead architecture reviews for priority AI initiatives, and guide build-versus-buy and vendor decisions
  • Work with AI engineers and platform teams so designs stay practical to build
  • Build architecture capability across multiple teams and regions

What you bring

  • 10+ years in solution or enterprise architecture, with significant architecture responsibility for AI, ML or advanced analytics
  • Hands-on Azure AI expertise across Foundry, Azure OpenAI, Azure Machine Learning, AI Search and Azure data platforms
  • A Microsoft certification such as Azure Solutions Architect Expert, Azure AI Engineer Associate or Azure Data Scientist Associate
  • Working knowledge of generative AI, RAG, vector search and agentic architecture
  • Experience in AI security and responsible AI: privacy, identity, threat modelling and content safety
  • A track record of architecture assurance and design governance across several delivery teams
  • The ability to influence senior stakeholders across business units
  • Bachelor's degree in computer science, AI, data science, engineering or a related field

Advantageous

  • TOGAF or equivalent
  • Copilot Studio, Power Platform and Fabric
  • AI observability and AI security testing
  • Experience in a large, multi-region organisation

More Info

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Key Skills

vector search

agentic architecture

LLMOps

generative AI

design governance

Azure OpenAI

Azure AI Foundry

architecture assurance

RAG

Azure AI Search

Microsoft Fabric

AI security

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