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# AI Solution Architect

- **Company:** SolutionIT, Inc.
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $165,000.0 - $197,000.0
- **Contract:** Temporary to permanent
- **Skills:** ASP.NET, .NET Framework, Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Code Generation, Code Review, Continuous Integration, DevOps, Language Modeling, Systems Development Life Cycle, Software Engineering, GitHub Copilot, Multi-Agent Systems, Kubernetes, Devsecops
- **Published:** September 13, 2026
- **Apply:** https://www.careerjet.com/jobad/us30ab0a9811fa20972b9efc7f9a70b883

## About the Role

* 8+ years of software engineering experience with strong expertise in .NET/C#/ASP.NET Core applications.
 * Hands-on experience building AI agents, agentic workflows, and orchestration frameworks.
 * Experience with AI frameworks such as Semantic Kernel, Azure AI Foundry, Copilot Studio, Lang Graph, Lang Chain, Auto Gen, or Crew AI.
 * Strong understanding of SDLC, DevOps, CI/CD, testing, and enterprise architecture principles.
 * Experience implementing human-in-the-loop governance and AI guardrails.
 * Strong analytical and solution architecture skills with the ability to recommend enterprise-wide application and platform improvements.

Preferred Qualifications

 * Experience with Azure cloud services, GitHub Copilot, Azure DevOps, and DevSecOps practices.
 * Knowledge of RAG, MCP, vector databases, and enterprise AI governance frameworks.
 * Experience leading AI-driven engineering transformation initiatives.

## Description

The ideal candidate will design and implement AI agents that streamline requirements, architecture, development, testing, deployment, and support processes while ensuring appropriate oversight and quality controls.
Responsibilities:

 * Design and orchestrate AI agents and multi-agent workflows across the SDLC.
 * Build loop-based workflows that enable planning, execution, validation, feedback, and continuous improvement.
 * Automate engineering activities including requirements analysis, code generation, testing, documentation, code reviews, and release validation.
 * Define human-in-the-loop checkpoints for governance, risk mitigation, and quality assurance.
 * Assess existing .NET applications and recommend architectural improvements, modernization opportunities, and AI integration patterns.
 * Partner with architects, developers, and business stakeholders to establish AI-first engineering practices.
 * Measure and optimize productivity, quality, and SDLC cycle-time improvements delivered through AI.


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