Senior Agentic AI Engineer - W2 Contract

Xforia Global Talent & Technology Solutions; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Job summary

Xforia Global Talent & Technology Solutions seeks a Senior Agentic AI Engineer to build an enterprise AI platform with multi-agent workflows and intelligent knowledge systems. You will lead development of custom AI agents, knowledge layers, and observability tools using AWS Bedrock, Claude, Copilot Studio, and .NET.

Responsibilities include creating autonomous agents, managing semantic data layers, building GraphQL APIs, and implementing admin dashboards for enterprise-wide visibility and

Qualifications

• Experience building autonomous AI agents and platforms.
• Enterprise API design and strong software engineering practices.
• Hands-on with vector databases and semantic data layers.

Responsibilities

• Platform & Agents: Build autonomous AI agents and platform features using AWS Bedrock, Claude, and .NET.
• Knowledge & Data: Generate graph embeddings and design semantic layers for unstructured data.
• Tooling & Sandboxing: Set up sandboxes, plugins, and MCP servers.
• Observability: Create admin dashboards to monitor agent usage across platforms.

Skills

AWS Bedrock

Claude

Copilot Studio

GitHub Copilot CLI

Multi-Agent Orchestration

Prompt Engineering

.NET / C#

Graph Vector Embeddings

Vector DBs

Tools

GraphQL APIs

MCP servers

Admin dashboards

Sandbox environments

Job description

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.