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Senior Agentic AI Engineer - W2 Contract
Xforia Global Talent & Technology Solutions
3 hours ago
Full-time
On-site
Chicago, Illinois, United States
We are looking for a
Senior Agentic AI Engineer
to build our enterprise AI platform, multi-agent workflows, and intelligent knowledge systems. You will lead the development of custom AI agents, knowledge layers, and observability tools using AWS Bedrock, Claude, Microsoft Copilot Studio, and .NET.
Key Responsibilities
Platform & Agents:
Build autonomous AI agents and platform features using AWS Bedrock, Claude, and .NET. Create custom Microsoft & GitHub Copilot agents using Copilot Studio and CLIs.
Knowledge & Data:
Generate graph vector embeddings from unstructured documents. Manage DDL/DML in Vector DBs, write GraphQL APIs, and design semantic layers.
Tooling & Sandboxing:
Set up engineering sandboxes, plugins, and Model Context Protocol (MCP) servers.
Observability:
Create admin dashboards to monitor, provision, and manage agent usage across all enterprise platforms.
Requirements
AI Tech Stack:
Expertise in AWS Bedrock, Claude, Copilot Studio, GitHub Copilot CLI, Multi-Agent Orchestration, and Prompt Engineering.
Software Engineering:
Strong proficiency in
.NET / C#
development and enterprise API design.
Data & Graph:
Hands‑on experience with Graph Vector Embeddings, Vector DBs (DDL/DML), GraphQL, and Semantic Layer design.
Observability & Ops:
Experience building admin/monitoring dashboards, MCP integrations, and sandbox environments.
#J-18808-Ljbffr
Senior Agentic AI Engineer
to build our enterprise AI platform, multi-agent workflows, and intelligent knowledge systems. You will lead the development of custom AI agents, knowledge layers, and observability tools using AWS Bedrock, Claude, Microsoft Copilot Studio, and .NET.
Key Responsibilities
Platform & Agents:
Build autonomous AI agents and platform features using AWS Bedrock, Claude, and .NET. Create custom Microsoft & GitHub Copilot agents using Copilot Studio and CLIs.
Knowledge & Data:
Generate graph vector embeddings from unstructured documents. Manage DDL/DML in Vector DBs, write GraphQL APIs, and design semantic layers.
Tooling & Sandboxing:
Set up engineering sandboxes, plugins, and Model Context Protocol (MCP) servers.
Observability:
Create admin dashboards to monitor, provision, and manage agent usage across all enterprise platforms.
Requirements
AI Tech Stack:
Expertise in AWS Bedrock, Claude, Copilot Studio, GitHub Copilot CLI, Multi-Agent Orchestration, and Prompt Engineering.
Software Engineering:
Strong proficiency in
.NET / C#
development and enterprise API design.
Data & Graph:
Hands‑on experience with Graph Vector Embeddings, Vector DBs (DDL/DML), GraphQL, and Semantic Layer design.
Observability & Ops:
Experience building admin/monitoring dashboards, MCP integrations, and sandbox environments.
#J-18808-Ljbffr