AI Architect

InfiCare; North Carolina; Hybrid; USD 165,000 - 331,000; Full time

Job summary

InfiCare is seeking an AI Architect in North Carolina (Hybrid: 3 days in office). This contract role requires 10+ years in software architecture, including 3 years building production-grade LLM/AI systems.

You will design multi-agent orchestration, MCP-based data/tool integration, and scalable AI platform infrastructure. The ideal candidate will lead architectural decisions, mentor engineers, and ensure low-latency, high-throughput delivery across enterprise environments.

Qualifications

• 10 years of software architecture experience, with 3 years hands-on in production LLM/AI systems.
• Experience with multi-agent frameworks and MCP protocols.
• Strong cloud and containerization expertise.

Responsibilities

• Design and implement multi-agent orchestration frameworks with autonomous negotiation, task delegation, and secure inter-agent communication.
• Architect and build scalable MCP servers and clients to connect LLMs to data sources, tools, and enterprise environments.
• Drive the architectural vision for an internal AI development platform with high throughput and low latency.
• Write production-ready code, prototypes, and establish dev practices for AI apps.
• Standardize architectural patterns; mentor junior engineers; communicate with non-technical stakeholders.

Skills

Multi-agent frameworks

MCP protocol

RAG pipelines

Prompt engineering

Python

TypeScript

Go

AWS

GCP

Azure

Kubernetes

Docker

LLM development

LangGraph

AutoGen

CrewAI

Tools

LangGraph

AutoGen

CrewAI

Job description

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.