AI Engineer

DataJobs

Charlotte (NC)

Hybrid

USD 83,000 - 90,000

Part time

4 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Health Savings Account
Flexible Spending Account
Dependent Care FSA
Life Insurance
Disability Insurance
Travel Insurance
401(k) with match

Job summary

Experis in Charlotte, NC is hiring an AI Engineer to support enterprise AI initiatives within the AI & Automation Department. The role focuses on deploying solutions with Microsoft Copilot and Azure AI services, plus automation, integrations, monitoring, and governance to keep pace with Generative AI developments.

The position offers hybrid work with 3 days on site in Charlotte and weekly pay at $60-$65/hour, plus comprehensive benefits such as medical, dental, vision, HSAs/FSAs, a 401(k) with

Qualifications

  • Bachelor’s degree in CS, Data Science, Engineering, or related field.
  • 5+ years of experience across software engineering, AI/ML, cloud engineering, or automation.
  • 2+ years hands-on Generative AI, LLMs, and Microsoft Copilot technologies.
  • Proficiency with Microsoft 365 Copilot, Azure OpenAI Services, and Azure AI Studio.
  • Strong skills in prompt engineering, API integration, data analytics, and responsible AI practices.

Responsibilities

  • Design, develop, and implement enterprise AI solutions using Microsoft Copilot, Azure AI services, and modern AI technologies.
  • Improve productivity by building AI-powered automation and intelligent workflows.
  • Partner with cross-functional teams to integrate AI models and support seamless API integrations.
  • Use data analytics and AI monitoring tools to optimize AI solutions and help ensure responsible AI practices.
  • Stay current on Generative AI, Large Language Models (LLMs), and AI governance to drive ongoing innovation.

Skills

Enterprise AI
Generative AI
LLMs
Prompt engineering
API integration
Data analytics
AI governance
Azure AI

Education

Bachelor’s degree
Master’s degree preferred

Tools

Microsoft Copilot
Azure OpenAI Services
Azure AI Studio
Microsoft 365 Copilot

Job description

Experis is hiring an AI Engineer to support enterprise AI solutions within the AI & Automation Department. If you enjoy building practical AI that helps teams move faster, this role focuses on deploying solutions with Microsoft Copilot and Azure AI services, along with automation, integrations, monitoring, and staying current with Generative AI and AI governance.

What you’ll get
  • Hybrid work in Charlotte, NC (3 days onsite)
  • $60-$65/hr (weekly pay)
  • Medical and Prescription Drug Plans
  • Dental and Vision Plans
  • Health Savings Account, Health Flexible Spending Account, and Dependent Care Flexible Spending Account
  • Supplemental Life Insurance
  • Short Term and Long Term Disability Insurance
  • Business Travel Insurance
  • 401(k) with Plus Match
Responsibilities
  • Design, develop, and implement enterprise AI solutions using Microsoft Copilot, Azure AI services, and modern AI technologies
  • Improve productivity by building AI-powered automation and intelligent workflows
  • Partner with cross-functional teams to integrate AI models and support seamless API integrations
  • Use data analytics and AI monitoring tools to optimize AI solutions and help ensure responsible AI practices
  • Stay current on Generative AI, Large Language Models (LLMs), and AI governance to drive ongoing innovation
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred)
  • 5+ years of experience across software engineering, AI/ML, cloud engineering, or automation
  • 2+ years hands‑on experience with Generative AI, LLMs, and Microsoft Copilot technologies
  • Proficiency with Microsoft 365 Copilot, Azure OpenAI Services, and Azure AI Studio
  • Strong skills in prompt engineering, API integration, data analytics, and responsible AI practices
Technologies you’ll work with
  • Microsoft Copilot, Microsoft 365 Copilot
  • Azure AI services, Azure OpenAI Services, Azure AI Studio
  • Generative AI, Large Language Models (LLMs)
  • AI monitoring tools
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