Onsite AI Architect: Agentic AI, AWS Bedrock & .NET

Centraprise, Corp.

Chicago (IL)

On-site

USD 120,000 - 190,000

Full time

5 days ago
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Job summary

Centraprise, Corp. is seeking an experienced AI Architect to lead Agentic AI initiatives in a hands-on onsite role in Chicago. You will design and implement AI-powered solutions using AWS Bedrock, Claude, and orchestration across enterprise systems.

The ideal candidate has expertise in multi-agent systems, prompt engineering, and integrating AI models with .NET applications, while collaborating with engineering and business teams to deliver production-ready solutions.

Qualifications

  • Hands-on experience with AWS Bedrock and Claude.
  • Strong understanding of Agentic AI and Multi-Agent Systems.
  • Experience with AI orchestration platforms and frameworks.
  • Proficiency in .NET applications and AI integration.
  • Experience with Prompt Engineering and LLM-based apps.
  • Familiarity with Microsoft Copilot and AI development tools like Azure AI Studio / Microsoft Foundry.

Responsibilities

  • Design, develop, and implement Agentic AI solutions using AWS Bedrock and Claude.
  • Build and manage multi-agent systems and AI orchestration workflows.
  • Integrate AI models into .NET applications.
  • Develop and optimize prompts for accuracy and performance.
  • Work with AI tools such as Microsoft Copilot and Microsoft AI Studio.
  • Create AI workflows for automation and enterprise integration.
  • Test and optimize AI solutions for scalability and reliability.
  • Collaborate with teams to deliver production-ready AI applications.

Skills

AWS Bedrock
Claude
Agentic AI
Multi-Agent Systems
AI orchestration platforms
.NET integration
Prompt Engineering
Microsoft Copilot
Azure AI Studio

Job description

Centraprise, Corp. is seeking an experienced AI Architect to lead Agentic AI initiatives in a hands-on onsite role in Chicago. You will design and implement AI-powered solutions using AWS Bedrock, Claude, and orchestration across enterprise systems.

The ideal candidate has expertise in multi-agent systems, prompt engineering, and integrating AI models with .NET applications, while collaborating with engineering and business teams to deliver production-ready solutions.

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