Senior Azure AI Solutions Architect / Engineer

GovCIO; Frankfort (KY); Remote; USD 150,000 - 210,000; Full time

Job summary

GovCIO is seeking a highly experienced Senior Azure AI Solutions Architect/Engineer to lead the architecture, development, and implementation of enterprise Generative AI and intelligent document solutions within a federal environment. The role requires hands-on leadership, prototyping, production-grade implementation, and secure integration with existing enterprise systems.

The candidate will work across Azure AI services, Microsoft Foundry, and related capabilities to deliver AI-assisted

Qualifications

• Experience designing enterprise Generative AI solutions on Azure AI ecosystems.
• Ability to implement retrieval augmented generation (RAG) solutions over structured/unstructured data.
• Proficient in integrating AI capabilities with existing enterprise apps via APIs and SDKs.

Responsibilities

• Lead architecture, design, development, and deployment of enterprise Generative AI solutions on Azure.
• Design and implement solutions using Microsoft Foundry, Azure OpenAI/model services, Azure AI Search, and Azure Document Intelligence.
• Architect RAG solutions over large document repositories and ensure secure, scalable integration with existing systems.
• Develop AI-assisted search, information extraction, and summarization capabilities across enterprise data.
• Create AI agents and orchestration workflows using Microsoft Foundry when appropriate.
• Collaborate with application teams, data repositories, and APIs to ensure smooth production delivery.

Skills

Azure AI

AI architecture

RAG

REST APIs

Tools

REST APIs

Java services

SDKs

Azure services

Job description

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