Enterprise Azure Architect (AI Automation)

SolutionIT, Inc.

Wilmington, United States

about 1 month ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

dice.com

Tech stack

Artificial Intelligence Audit Trail Microsoft Azure Cloud Computing Cyber Security Continuous Integration Data Architecture Disaster Recovery Distributed Systems PostgreSQL Software Engineering Workflow Management Systems

+8 more

Microsoft Power Automate Event Driven Architecture Information Technology Cosmos DB Api Design Api Management Key Vault Microservices

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline.
12+ years of experience in software engineering, solution architecture, or enterprise architecture, with substantial experience in architecting enterprise-scale platforms.
Strong experience designing cloud-native solutions on Microsoft Azure, including application, integration, data, identity, networking, and security architecture.
Proven expertise in distributed systems, event-driven architecture, API-first design, microservices-aligned patterns, and asynchronous integration.
Deep knowledge of architecture patterns for workflow orchestration, human-in-the-loop processing, rules-driven decisioning, and operational case lifecycle management.
Hands-on familiarity with Azure services such as App Services, Functions, Logic Apps, Event Grid or Service Bus, API Management, Storage, Cosmos DB, PostgreSQL, Key Vault, Monitor, and Entra ID.
Experience defining architecture for secure and regulated environments, including private networking, role-based access, audit trails, data protection, resilience, and disaster recovery.
Strong understanding of CI/CD, infrastructure as code, environment strategy, and production governance for enterprise platforms., * Experience with architecture for intelligent document processing, OCR/extraction pipelines, or AI-enabled operational platforms, including services such as Azure AI Document Intelligence.
Familiarity with architecture for regulated, high-volume operational workflows that require strong auditability, explainability, and human-in-the-loop controls.
Experience designing platforms that support multi-line-of-business reuse through configuration, modular services, and well-defined platform boundaries.
Understanding of enterprise data architecture, lineage, canonical data models, and integration patterns across systems of record and operational platforms.
Experience working through enterprise architecture, security architecture, risk, and production governance review processes in large organizations.