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IE4 - AI Azure

Irving, TX, US • Posted 4 hours ago • Updated 4 hours ago

Contract W2

On-site

$68.58 - $62.58/hr

Fitment

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Job Details

Skills

Information Engineering
Internet Explorer
Financial Services
Finance
Computer Networking
Root Cause Analysis
API
Network
Storage
Identity Management
SDK
Servers
Unit Testing
Vulnerability Management
Continuous Integration
Continuous Delivery
Git
Workflow
Collaboration
Technical Writing
Python
ARM
Terraform
Microsoft Azure
Testing
Documentation
Artificial Intelligence
LangChain
Microsoft Certified Professional

Summary

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for an Azure AI Engineer in Charlotte, NC, Dallas, TX, Minneapolis, MN or Chandler, AZ

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
12 months to start
Hybrid work schedule
Roles and Responsibilities:

Design, implement, and operate scalable, secure Azure infrastructures covering Compute, Networking, Storage, Identity, and Monitoring.
Diagnose and remediate issues in Azure resources; provide rapid root cause analysis of incidents.
Lead configuration and monitoring of AKS, ASE Platforms, Azure Resource Manager, Bicep/Terraform, VNETs, NSGs, App Gateways, Load Balancers, Managed Identities, Policies, and logging solutions.
Develop production-grade Python automation for operational tooling, remediation workflows, and Azure API integrations.
Automate compute, network, storage, and identity management via Python using Azure SDK and MCP Servers.
Maintain high code quality, unit testing, vulnerability management, and effective documentation.
Drive CI/CD automation, containerization, and pipeline deployments using Git workflows and Helm/Containers.
Develop and operationalize agentic AI systems for Azure, focusing on deterministic workflows using LangChain, MCP Server, A2A, Google ADK/Agents, etc.
Collaborate on cross-functional projects; produce comprehensive technical documentation and communications.

Qualifications & Skills:

4-6 years of hands-on Azure engineering & operations experience.
5+ years Python development, including automation for Azure APIs.
Expertise in AKS, ASE, ARM/Bicep/Terraform, VNETs, NSGs, App Gateways, Load Balancers, Managed Identities, Azure policies, and monitoring tools.
Strong experience with production-quality code, rigorous testing, and documentation.
Background in agentic AI/automation: LangChain, MCP Server, A2A, Google ADK/Agents, etc.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105282
Position Id: 871849
Posted 4 hours ago

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