Job Description
Role Title: Azure AI & Automation Architect
Location: Edinburgh, UK (Hybrid)
Employment Type: Inside IR35 Contract Must: Azure document intelligence and even Azure foundry.
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.
- Security & Networking: Practical knowledge of Microsoft Entra ID (Azure AD), OAuth 2.0, Virtual Network (VNet) data gateways, and secure connection references.
- 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.