Azure AI Solution Architect - Hybrid & AI-Driven Solutions

Deloitte (UK); Alabama; Hybrid; USD 119,000 - 172,000; Full time

Job summary

Deloitte seeks an Azure Solution Architect to lead the design and delivery of AI-enabled workloads on Microsoft Azure, aligning with Well-Architected and FinOps principles. You will define blueprints, guide cross-functional teams, and ensure secure, scalable, and cost-aware implementations across client projects.

You will collaborate with product owners, data scientists, and engineers to translate business requirements into robust cloud architectures and champion responsible AI governance within

Qualifications

• Proven experience in Senior Cloud/Solution Architect roles with AI on Azure.
• Microsoft certifications such as AZ-305, AI Engineer are advantageous.
• Hands-on experience with Azure AI and data services (OpenAI Service, ML, Synapse).
• Knowledge of LLMs, RAG patterns, and AI governance best practices.

Responsibilities

• Lead architectural design of AI-driven apps on Microsoft Azure across domains.
• Define landing zone design and architectural standards for scalable, secure solutions.
• Translate requirements into Azure architectures including data models and deployment patterns.
• Evaluate Azure AI services and integration patterns for enterprise use.
• Guide CI/CD and IaC practices for governed delivery of AI solutions.
• Mentor engineering teams on complex AI solution delivery on Azure.

Skills

Azure cloud architecture

AI/ML integration

CI/CD

Security & compliance

Stakeholder management

Tools

Bicep

Terraform

Azure DevOps

GitHub Actions

Job description

Deloitte seeks an Azure Solution Architect to lead the design and delivery of AI-enabled workloads on Microsoft Azure, aligning with Well-Architected and FinOps principles. You will define blueprints, guide cross-functional teams, and ensure secure, scalable, and cost-aware implementations across client projects.

You will collaborate with product owners, data scientists, and engineers to translate business requirements into robust cloud architectures and champion responsible AI governance within