Insight International (UK) Ltd
Azure AI & Automation Architect
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Azure AI & Automation Architect
Location: Edinburgh, UK (Hybrid)
Employment Type: Inside IR35 Contract
Must:
- Azure document intelligence and even Azure foundry.
Job Description
Experience Required: 15+ Years in Enterprise Software Architecture & AI-Driven Solutions
Azure AI & Automation Architect
Years of Experience: 15+ years in enterprise software delivery, systems architecture, and transactional solution design.
Specialization: Minimum 6+ years of dedicated experience architecting complex Azure AI & Cloud Solutions, coupled with hands-on proficiency in orchestration using the Microsoft Power Platform ecosystem.
Technical Requirements & Key Skills
Azure AI & Cloud Mastery:
- Azure AI Solutions Architect Certification (e.g., AI-102 / Azure Solutions Architect) with expert-level proficiency in Azure OpenAI, Azure Document Intelligence, Azure Content Understanding, Azure Functions, Azure APIM, and Microsoft Foundry agent implementations.
Secondary Power Platform Proficiency:
- PL-600 certified (or equivalent experience) with strong working knowledge of Dataverse, Power Automate (Cloud & Desktop RPA), Power Apps, and basic Power Platform administration.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Security & Networking:
- Practical knowledge of Microsoft Entra ID (Azure AD), OAuth 2.0, Virtual Network (VNet) data gateways, and secure connection references.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Financial Domain Solutioning:
- Prior experience designing automated document extraction, data classification, or transactional reconciliation frameworks within a regulated financial services environment is highly preferred.
Job Description Summary
Role Objective: Design the primary AI architecture, cloud service boundaries, and enterprise document intelligence frameworks for a high-scale Document Processing & Data Reconciliation solution. You will architect a secure, high-performance Azure AI and Cloud ecosystem that seamlessly integrates with Microsoft Power Platform for secondary orchestration and UI needs. You will serve as the master solution architect, translating complex financial operations and unstructured data streams into highly scalable, AI-first business solutions.
Core Responsibilities
- Design the overall Azure AI architecture, leveraging cognitive services, custom ML models, and Microsoft Foundry agents to process unstructured data streams at scale.
- Establish the cross-platform document intelligence strategy, prioritizing Azure Document Intelligence and Azure Content Understanding for complex, multi-page variations, low-confidence layouts, and semantic schema mappings, utilizing AI Builder as a secondary option.
- Design cloud-native integration blueprints connecting custom backend services (Azure APIM, Azure Functions, Azure AI Search) securely with Power Automate (Cloud/Desktop RPA) and Dataverse.
- Architect secure data models and metadata indexing pipelines in Azure Blob Storage and Dataverse to support high-volume transactional lifecycles.
- Design Human-in-the-Loop (HITL) exception-handling workflows, utilizing Canvas/Model-Driven Power Apps as the front-end user experience where appropriate.
- Define and enforce cloud security, environment strategies, and access models across Azure and Power Platform tenants, ensuring seamless integration between Microsoft Entra ID (Azure AD), VNet data gateways, and row-level security models.
- Oversee enterprise Application Lifecycle Management (ALM) patterns, ensuring both Azure cloud components and low-code packages are deployed via automated CI/CD pipelines.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London