Technology

AI Architect

Why this role stands out

Step into the future of technology as an AI Architect at SolutionIT, Inc., where you will spearhead cutting-edge multi-agent orchestration and build robust, scalable AI platforms. This hybrid role is perfect for a visionary leader who thrives on solving complex architectural challenges and wants to shape the next generation of LLM-driven enterprise solutions. Apply today to advance your career and make a significant impact at the forefront of AI innovation.

Quick overview

SeniorityMid Senior

Work modeHybrid

LocationNC, United States

DockerAWSAzureGoogle CloudKubernetesLLMPythonTypeScript

Job description

Solution IT Inc. is looking for AI Architect for one 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/Google Cloud Platform/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

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Thanks

Recruiting Team

SOLUTION IT INC

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