Senior Azure AI Solutions Architect ​/ Engineer

United States;
Washington, Washington, DC

Suitability/Public Trust

Fully remote

Software Engineering Services

** Overview*
* GovCIO is currently hiring for a highly experienced, hands-on Senior Azure AI Solutions Architect / Engineer to lead the architecture, development, and implementation of enterprise Generative AI and intelligent document solutions within a complex federal application environment.

This individual will serve as a technical leader for the adoption of Microsoft Azure AI capabilities, working alongside existing application architects, developers, infrastructure teams, and subject matter experts to introduce secure, scalable AI capabilities into established enterprise systems.

Initial efforts will focus on AI-assisted document intelligence, enterprise search and retrieval, Retrieval-Augmented Generation (RAG), document summarization, structured data extraction, document classification, and AI-assisted business process automation.

The successful candidate must be equally comfortable designing the architecture and building the solution. This is not solely an advisory or strategy position. The individual will be expected to configure Azure AI services, develop prototypes and production solutions, integrate with existing applications and data repositories, troubleshoot technical challenges, establish AI development patterns, and transfer knowledge to existing technical teams.

The position is remote and supports a federal customer in the Washington, D.C. metropolitan area.

** Responsibilities*
* + Lead the architecture, design, development, and implementation of enterprise Generative AI solutions using the Microsoft Azure AI ecosystem.

+ Design and implement solutions using  
** Microsoft Foundry, Azure OpenAI/model services, Azure AI Search, Azure AI Document Intelligence** , and related Azure capabilities.

+ Architect and implement  
** Retrieval-Augmented Generation (RAG)
** solutions over enterprise structured and unstructured data.

+ Develop AI-assisted enterprise search capabilities capable of identifying relevant documents, pages, data elements, and supporting evidence across large document repositories.

+ Develop capabilities for natural-language question answering, document summarization, information extraction, structured output generation, and AI-assisted research.

+ Design and implement semantic, vector, hybrid, and agentic retrieval approaches as appropriate for specific business requirements.

+ Develop secure integration patterns between Azure AI services and existing enterprise applications, APIs, databases, and document repositories.

+ Integrate AI functionality into existing enterprise applications through REST APIs, SDKs, Java services, and other approved integration patterns.

+ Evaluate and implement  
** Azure AI Document Intelligence
** capabilities for document classification, metadata/data extraction, confidence scoring, and exception handling.

+ Design AI agents and orchestration workflows using Microsoft Foundry capabilities when appropriate.

+ Partner with existing application,  
** IBM File Net and IBM Data Cap
** technical teams to introduce AI capabilities while leveraging existing enterprise platforms and investments.

+ Design solutions that preserve application-level authorization and ensure users only receive AI-generated information derived from data they are authorized to access.

+ Implement appropriate Azure identity, access management, secrets management, networking, logging, monitoring, and security controls.

+ Establish AI evaluation and testing frameworks measuring retrieval accuracy, extraction accuracy, groundedness, hallucination rates, confidence, latency, performance, and business outcomes.

+ Develop and execute technical proofs of concept and MVPs and transition successful capabilities into secure, scalable production implementations.

+ Work with business and technical stakeholders to translate business processes and pain points into actionable AI solutions.

+ Evaluate alternative AI technologies and integration approaches and provide technical recommendations based on feasibility, security, cost, scalability, and business value.

+ Establish reusable architecture patterns, development standards, and technical documentation for future enterprise AI implementations.

+ Mentor existing architects and developers on Azure AI, RAG, LLM integration, prompt engineering, evaluation, and responsible AI development.

+ Provide hands-on knowledge transfer so that successful AI capabilities can ultimately be maintained and expanded by the existing technical organization.

** Qualifications*
* ** Required

Education and Experience *
* + Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, Engineering, or a related technical discipline with 12 years  (or commensurate experience.

+ Clearance Level: Public Trust

** Required Skills & Experience*
* + 8+ years of progressive experience designing, developing, and implementing enterprise software,…