AI Architect

Solutionit Gmbh; North Carolina; Hybrid; USD 180,000 - 240,000; Full time

Job summary

Solution IT Inc. in North Carolina seeks an AI Architect to lead multi-agent architecture and build scalable MCP-enabled platforms connecting LLMs to data sources and tools. The role combines hands-on coding, architectural leadership, and mentoring of engineers, with a hybrid work model (3 days in office).

Start date in 2 weeks for a long-term position. You will drive the architectural vision for high-throughput AI systems, promote best practices, and collaborate with stakeholders to align

Qualifications

• 10+ years of software architecture experience, with at least 3+ years building and deploying production-grade LLM apps.
• AI & Agentic expertise in multi-agent frameworks (LangGraph, AutoGen, CrewAI) and prompt engineering.
• Experience with MCP or designing context-sharing and tool-calling protocols for GenAI.
• Proficiency in Python, TypeScript or Go, plus cloud-native stacks (AWS/GCP/Azure, Kubernetes, Docker) and modern AI SDKs.

Responsibilities

• Design and implement multi-agent orchestration frameworks with autonomous negotiation and secure inter-agent communication.
• Architect MCP servers/clients to securely connect LLMs to data sources and development tools.
• Steer AI platform development to ensure high throughput, low latency, and smooth workflows for training and deploying models.
• Write production-ready code, build prototypes, and establish engineering best practices for AI apps.
• Provide technical leadership and mentor engineers, standardizing architectural patterns across the organization.

Skills

LLM apps

Multi-agent architecture

Python

TypeScript/Go

Cloud native

MCP

LangGraph

AutoGen

CrewAI

RAG pipelines

Tools

Kubernetes

Docker

MCP

LangGraph

AutoGen

CrewAI

Job description

Solution IT Inc. is looking for AI Architect forone of its clients in North Carolina (Hybrid)

Job Title: AI Architect

Responsibilities:

• Agent-to-Agent Architecture: Design and implement multi-agent orchestration frameworks, focusing on autonomous negotiation, task delegation, state management, and secure inter-agent communication.
• MCP Integration: Architect and build scalable Model Context Protocol (MCP) servers and clients to securely connect LLMs to data sources, development tools, and enterprise environments.
• AI Platform Development: Drive the architectural vision for our internal AI development platform, ensuring high throughput, low latency, and seamless developer workflows for training, testing, and deploying models.
• Hands-on Engineering: Write high-quality, production-ready code, build prototypes, and establish engineering best practices for AI application development.
• Technical Leadership & Communication: Standardize architectural patterns across the organization. Mentor junior engineers and explain complex technical concepts to non-technical stakeholders clearly and effectively.

Required Skills

• 10+ years of software architecture experience, with at least 3+ years of dedicated, hands-on experience building and deploying production-grade LLM applications and AI systems.
• AI & Agentic Expertise: Deep understanding of multi-agent frameworks (e.g., LangGraph, AutoGen, CrewAI), prompt engineering, RAG pipelines, and vector databases.
• Protocol & API Mastery: Proven experience with Model Context Protocol (MCP) or designing similar context-sharing and tool-calling protocols for GenAI.
• Technical Stack: Proficiency in Python, TypeScript, or Go, along with cloud native technologies (AWS/GCP/Azure, Kubernetes, Docker) and modern AI SDKs.

Work Site: North Carolina (Hybrid 3 Days in Office)

Duration: Long-Term

Expected Start Date: 2 Weeks

Number of Positions: 01