Azure AI Foundry Platform Architect

AND Digital Limited; Leeds; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

25 days holiday

Pension 6% + 2% by you

Aviva healthcare cover

Flexibenefit £1000 allowance

Life Assurance

Income Protection

Eye test + glasses

Enhanced parental leave

Job summary

AND Digital Limited is seeking a Principal AI Engineer to architect and deliver an enterprise-grade Microsoft Azure AI Foundry platform in a Leeds-based environment.

You will operate across Azure infrastructure, AI platform engineering, security, MLOps and FinOps to establish technical standards and scalable, reusable patterns for AI adoption.

The role emphasizes governance, cost management and hands-on engineering leadership to drive secure, high-performance AI solutions.

Qualifications

• 5+ years in Azure cloud architecture, engineering or platform engineering.
• 1–2+ years focused on enterprise AI/ML platform engineering.
• Proven experience in large-scale or enterprise Azure environments.

Responsibilities

• Architect scalable, enterprise-grade Azure AI Foundry environments in line with cloud architecture and Landing Zone principles.
• Integrate Azure AI Foundry with Azure OpenAI Service, model catalogs, prompt flows, AI Search, vector databases and custom tooling.
• Define reusable architecture patterns for AI workloads across development, testing and production.
• Establish platform standards for resources, environments, deployment, observability and operations.
• Collaborate with AI Engineers to design AI Agents and agentic workflows.

Skills

Azure architecture

AI platform engineering

Security governance

Senior leadership

Stakeholder communication

Tools

Bicep

Terraform

ARM templates

Job description

AND Digital Limited is seeking a Principal AI Engineer to architect and deliver an enterprise-grade Microsoft Azure AI Foundry platform in a Leeds-based environment.

You will operate across Azure infrastructure, AI platform engineering, security, MLOps and FinOps to establish technical standards and scalable, reusable patterns for AI adoption.

The role emphasizes governance, cost management and hands-on engineering leadership to drive secure, high-performance AI solutions.