Overview Certified Technical Experts, Inc. (CTE) is seeking an experienced Lead Engineer / Azure Platform & Integration Engineer to support the Federal Labor Relations Authority's Intelligent Document Processing and AI-Enabled Search initiative. The project will modernize FLRA's existing Microsoft SharePoint repository containing PDF documents into a structured, searchable knowledge repository supporting OCR, document classification, metadata extraction, relationship mapping, and intelligent search. The Lead Engineer / Azure Platform & Integration Engineer will lead the hands-on implementation, integration, configuration, and deployment of the Azure platform components supporting document ingestion, automated processing, AI-assisted analysis, validation workflows, and intelligent search. The solution may leverage Microsoft SharePoint, Azure AI Document Intelligence, Azure AI Search, Azure OpenAI, SQL, Microsoft Purview, Microsoft Fabric, and Microsoft Power Platform. Key Responsibilities Lead hands-on implementation and integration of Azure services supporting the FLRA solution. Build and maintain automated workflows for ingesting and processing documents from Microsoft SharePoint. Integrate Microsoft SharePoint and Microsoft 365 with Azure using Microsoft Graph APIs and approved interfaces. Develop and configure solutions using Azure Functions, Azure Storage, Azure Service Bus, APIs, and related Azure services. Integrate Azure AI Document Intelligence for OCR, document classification, metadata extraction, and confidence scoring. Configure and support Azure AI Search for keyword, full-text, semantic, vector, and natural-language search. Support Azure OpenAI and Retrieval-Augmented Generation (RAG) capabilities for source-grounded responses and document citations. Develop processing logic for duplicate detection, metadata validation, classification, and relationship mapping. Build and support human-in-the-loop workflows for reviewing and correcting AI-generated results. Implement automated processes for future document ingestion, processing, and search indexing. Configure secure authentication and access using Microsoft Entra ID, managed identities, application registrations, and role-based access controls. Lead technical integration across Azure, SharePoint, data, AI/search, and application components. Support CI/CD, source control, automated deployment, configuration management, monitoring, and troubleshooting. Participate in system integration testing, UAT, production deployment, issue resolution, and knowledge transfer. Provide technical guidance to developers and engineers and ensure implementation aligns with the approved solution architecture. Develop and maintain technical documentation, deployment procedures, interface specifications, and configuration documentation. Follow applicable Federal security requirements, including CUI protection, FedRAMP-authorized services, least-privilege principles, and
NIST SP 800-53
controls. Support Section 508 and
WCAG 2.1 AA
accessibility requirements for applicable solution components. Collaborate closely with the Solution Architect, AI/Search Engineer, Data Engineer, SharePoint resources, QA/Security staff, and Project Manager. Required Skills Bachelor's degree in Computer Science, Information Technology, Software Engineering, Information Systems, or related discipline, or equivalent professional experience. 7+ years of software, cloud, platform, or integration engineering experience. 4+ years of hands-on Microsoft Azure engineering or development experience. Demonstrated experience leading technical implementation or integration activities for enterprise cloud solutions. Strong hands-on experience with Azure Functions, Azure Storage, Azure Service Bus, REST APIs, and SQL . Strong development experience with C#/.NET, Python, JavaScript/TypeScript , or similar programming languages. Experience integrating Microsoft SharePoint and Microsoft 365 with Azure services. Experience with Microsoft Graph API and SharePoint APIs. Experience with Microsoft Entra ID , OAuth, application registrations, managed identities, service principals, and role-based access control. Experience with Azure AI Document Intelligence or comparable OCR/document-processing technologies. Experience with Azure AI Search , including indexing, full-text search, semantic search, and vector search. Experience with Azure OpenAI, RAG, embeddings, or AI-enabled enterprise applications . Experience designing and implementing APIs, integrations, automated workflows, and event-driven solutions. Experience with Git-based source control, CI/CD pipelines, and automated deployments. Experience with Azure monitoring, logging, troubleshooting, and operational support. Understanding of secure cloud architecture, least-privilege access, identity management, and secure software-development practices. Experience with Agile and/or DevSecOps software-development environments. Strong analytical, troubleshooting, communication, and technical documentation skills. Ability to lead technical discussions and coordinate implementation across multiple engineering disciplines. Ability to successfully complete required FLRA personnel security vetting.
Preferred Certifications Microsoft Certified:
Azure Solutions Architect Expert Microsoft Certified:
Azure Developer Associate Microsoft Certified:
Azure AI Engineer Associate Microsoft Certified:
DevOps Engineer Expert Microsoft Certified:
Azure Data Engineer Associate Microsoft Certified:
Azure Administrator Associate CompTIA Security+ or equivalent security certification