AI Enablement Engineer

Overview

Hybrid
$65 - $75
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

AI integration
Azure OpenAI
Copilot Studio
Azure DevOps

Job Details

Role: AI Enablement Engineer

Location: Raleigh, NC

Work Mode: Hybrid

Employment Type: Contract

Interview Mode: Video or In Person

Job Description

  • The Client's Web Systems is seeking a hybrid-skilled AI Platform Architect & Enablement Engineer with deep experience in Azure OpenAI, Copilot Studio, and AI integration into enterprise applications.
  • This role bridges infrastructure and AI enablement supporting development teams in embedding AI into both new and existing applications, while ensuring scalable, secure, and policy-compliant Azure implementations.
  • This role requires a proactive engineer who can contribute to documentation, knowledge sharing, and enforcement of cloud governance policies in a large public-sector environment.
  • Ideal candidates will have a strong development background and specialize in AI platform enablement.

Key Responsibilities

  • Lead the design and implementation of Copilot Studio and Azure OpenAI solutions for both internal and public-facing applications.
  • Guide development teams on embedding AI into existing and new applications, including prompt engineering, API integration, and data flow design.
  • Architect and scale AI platforms to support high-concurrency, low-latency workloads, including peak load planning and autoscaling strategies.
  • Build and maintain secure, scalable Azure environments using Infrastructure-as-Code (Bicep/Terraform) and CI/CD pipelines.
  • Collaborate with DevOps and SRE teams to ensure observability, governance, and compliance across AI workloads.
  • Serve as a technical advisor and mentor to development teams, helping them adopt AI responsibly and effectively.

Skills Required:

  • Direct experience integrating Azure OpenAI, Copilot Studio and other AI into Enterprise applications or services, including security configuration. Desired 2 Years
  • Experience guiding application teams on AI integration strategies. Required 2 Years
  • Experience with scaling AI workloads. Desired 1 Years
  • Experience working with app teams to migrate, modernize, or re-platform workloads in Azure, including supporting legacy integration. Desired 2 Years
  • Experience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools. Desired 2 Years

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