AI Solution Architect
Inficare
Job Title: AI Solution Architect Location: Atlanta, GA (Remote) Job Type: Contract Duration: 1 Year Experience: 8+ years
Job Overview Our client is seeking an experienced AI Solution Architect to drive AI-led transformation of the Software Development Lifecycle (SDLC) through agentic workflows, automation, and human-in-the-loop governance. 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.
Key Responsibilities
Engagement Details 1-year contract engagement. Immediate start preferred.
Job Overview Our client is seeking an experienced AI Solution Architect to drive AI-led transformation of the Software Development Lifecycle (SDLC) through agentic workflows, automation, and human-in-the-loop governance. 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.
Key Responsibilities
- Design and orchestrate AI agents and multi-agent workflows across the SDLC
- Build loop-based workflows enabling 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
- 8+ years of software engineering experience with strong expertise in .NET / C# / ASP.NET Core
- Hands-on experience building AI agents, agentic workflows, and orchestration frameworks
- Experience with AI frameworks: Semantic Kernel, Azure AI Foundry, Copilot Studio, LangGraph, LangChain, AutoGen, or CrewAI
- 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
- Azure cloud services, GitHub Copilot, Azure DevOps, DevSecOps
- Knowledge of RAG, MCP, vector databases, and enterprise AI governance frameworks
- Experience leading AI-driven engineering transformation initiatives
Engagement Details 1-year contract engagement. Immediate start preferred.
Vacancy posted 19 hours ago
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