Remote Senior Azure AI Architect – GenAI & RAG Lead

GovCIO; Jackson (MS); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Employee Assistance Program (EAP)

Corporate Discounts

Learning & Development platform

Training, Education and Certification

Referral Bonus Program

Internal Mobility Program

Pet Insurance

Flexible Work Environment

Job summary

GovCIO is seeking a highly experienced Senior Azure AI Solutions Architect/Engineer to lead architecture, development, and implementation of enterprise Generative AI and document solutions for a federal environment. The role requires hands-on design, prototyping, integration with existing systems, and security-focused delivery.

The candidate must demonstrate strong expertise in Azure AI services, Foundry, OpenAI models, RAG, and document intelligence.

Qualifications

• 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

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 IBM FileNet and IBM DataCap teams to introduce AI capabilities while leveraging existing platforms.
• Design solutions that preserve application-level authorization and ensure users only receive AI-generated information from authorized data.
• 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 production implementations.
• Work with stakeholders to translate business processes into AI solutions.
• Evaluate alternative AI technologies 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.

Skills

Azure AI

RAG

LLM

Python/Java

Security

Education

Bachelor's degree in Computer Science or related field

Tools

Azure OpenAI

Microsoft Foundry

Azure AI Search

Job description

GovCIO is seeking a highly experienced Senior Azure AI Solutions Architect/Engineer to lead architecture, development, and implementation of enterprise Generative AI and document solutions for a federal environment. The role requires hands-on design, prototyping, integration with existing systems, and security-focused delivery.

The candidate must demonstrate strong expertise in Azure AI services, Foundry, OpenAI models, RAG, and document intelligence.