AI Architect

Job Title: AI Architect

Location: North Carolina (Hybrid – 3 days in office)

Job Type: Contract

Experience: 10+ years of software architecture experience, with 3+ years hands-on in production LLM/AI systems

Job Overview

 

Key Responsibilities

• Design and implement multi-agent orchestration frameworks including autonomous negotiation, task delegation, state management, and secure inter-agent communication
• Architect and build scalable Model Context Protocol (MCP) servers and clients to connect LLMs to data sources, tools, and enterprise environments
• Drive the architectural vision for an internal AI development platform (high throughput, low latency, seamless developer workflows)
• Write production-ready code, build prototypes, and establish engineering best practices for AI application development
• Standardize architectural patterns organization-wide; mentor junior engineers; communicate technical concepts to non-technical stakeholders

Required Skills

 

• Multi-agent frameworks: LangGraph, AutoGen, CrewAI
• Model Context Protocol (MCP) or similar context-sharing/tool-calling protocols
• RAG pipelines, vector databases, prompt engineering
• Programming: Python, TypeScript, or Go
• Cloud-native: AWS, Google Cloud Platform, or Azure; Kubernetes, Docker
• Modern AI SDKs and LLM application development

Preferred Skills

 

• Experience authoring architecture RFCs and leading technical design reviews
• Background in AI platform engineering and developer tooling

Location & Work Model

 

North Carolina — Hybrid (3 days per week in office required)

Engagement Details

 

Contract engagement. Immediate start preferred.