AI Architect

• Posted 7 hours ago • Updated 1 hour ago
Contract W2
Contract Independent
Contract Corp To Corp
Fitment

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Job Details

Skills

  • GenAI
  • Generative AI
  • Agentic AI
  • Generative AI / GenAI
  • AI Architecture
  • AI Agents
  • AI Solution Architect
  • AI Architect
  • Multi-Agent Systems
  • MCP Servers
  • AI Platform Development
  • Model Context Protocol (MCP)
  • LLM Application Development
  • AI Application Development
  • Multi-Agent Architecture
  • Agent-to-Agent (A2A)
  • AI Systems Architecture
  • Agent State Management
  • Secure Agent Communication
  • MCP Clients
  • Production-Grade LLM Applications
  • AI SDKs
  • AI Development Platform
  • Agentic AI Architect

Summary

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

Please send your responses back to

Thanks

Recruiting Team

SOLUTION IT INC

Work: / Extn 146 / 145

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  • Dice Id: 10290916
  • Position Id: 2026-13437/58945
  • Posted 7 hours ago
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