Senior Azure AI Solutions Architect / Engineer

GovCIO; Salt Lake City (UT); Remote; USD 180,000 - 240,000; Full time

Job summary

GovCIO is seeking a highly experienced Senior Azure AI Solutions Architect/Engineer to lead the architecture, development, and deployment of enterprise Generative AI and intelligent document solutions within a federal context. The role combines hands-on engineering with architectural leadership, focusing on secure, scalable Azure AI applications.

You will configure Azure AI services, build prototypes and production solutions, and transfer knowledge to existing technical teams, supporting a

Qualifications

• Hands-on experience with enterprise Generative AI and related Microsoft Azure AI capabilities.
• Strong background in architecting scalable AI solutions within complex enterprise environments.
• Experience integrating AI capabilities with existing applications, data repositories, and APIs.

Responsibilities

• Lead architecture, design, development, and implementation of enterprise Generative AI solutions using the Microsoft Azure AI ecosystem.
• Design and implement solutions with Microsoft Foundry, Azure OpenAI/model services, Azure AI Search, Azure AI Document Intelligence.
• Architect and implement Retrieval-Augmented Generation (RAG) over enterprise structured and unstructured data.
• Develop AI-assisted enterprise search capabilities to identify documents, pages, data elements, and supporting evidence across large repositories.
• Develop natural-language question answering, document summarization, information extraction, structured output generation, and AI-assisted research.
• Design semantic, vector, hybrid, and agentic retrieval approaches for 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 via REST APIs, SDKs, Java services, and other approved patterns.
• Evaluate and implement Azure AI Document Intelligence capabilities for classification, data extraction, confidence scoring, and exception handling.
• Design AI agents and orchestration workflows using Microsoft Foundry capabilities when appropriate.
• Partner with stakeholders to align AI deliverables with Federal customer needs.

Skills

Azure AI

RAG architecture

Enterprise search

REST APIs

Java services

Tools

Azure Foundry

Azure OpenAI

Azure AI Search

Azure Document Intelligence

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