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Ai Enablement Jobs in Raleigh, NC (NOW HIRING)

OVERVIEW CREO's AI Enablement team helps life sciences, healthcare, and technology organizations unlock the value of AI through strategy, governance, adoption change management, hands-on upskilling ...

OVERVIEW CREO's AI Enablement team helps life sciences, healthcare, and technology organizations unlock the value of AI through strategy, governance, adoption change management, hands-on upskilling ...

Senior AI Developer

Raleigh, NC · On-site

$118K - $158K/yr

NCDIT-T Web Systems is seeking a Senior AI Enablement Engineer with strong experience in C#, Vue.js, Python, and Azure AI . The role focuses on integrating Azure OpenAI, Copilot Studio, and other AI ...

Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities. * Design and guide datacentric and AIenabled initiatives , supporting the ...

Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities. * Design and guide datacentric and AIenabled initiatives , supporting the ...

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Ai Enablement information

See Raleigh, NC salary details

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How much do ai enablement jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for ai enablement in Raleigh, NC is $50.76, according to ZipRecruiter salary data. Most workers in this role earn between $23.85 and $66.11 per hour, depending on experience, location, and employer.

What is the difference between Ai Enablement vs Data Scientist?

AspectAi EnablementData Scientist
Required CredentialsTypically requires knowledge of AI tools, programming, and business integrationRequires degrees in data science, statistics, or related fields, with skills in programming and analytics
Work EnvironmentCollaborates with technical teams, product managers, and business units to deploy AI solutionsAnalyzes data, builds models, and interprets results to inform business decisions
Industry UsageUsed across industries to enable AI adoption and integration into products and servicesPrimarily in analytics, research, and data-driven decision-making roles

While both roles involve working with data and AI, Ai Enablement focuses on deploying and integrating AI solutions within organizations, whereas Data Scientists analyze data to develop models and insights. Ai Enablement professionals bridge technical and business needs to operationalize AI, making their role more implementation-oriented compared to the analytical focus of Data Scientists.

What is an AI enablement role?

An AI enablement role involves supporting organizations in adopting and integrating artificial intelligence technologies. This includes tasks such as developing AI strategies, training teams on AI tools, and ensuring successful deployment of AI solutions, often requiring skills in data analysis, machine learning, and technical communication.

What are the most commonly searched types of Ai Enablement jobs in Raleigh, NC?

The most popular types of Ai Enablement jobs in Raleigh, NC are:

What are popular job titles related to Ai Enablement jobs in Raleigh, NC?

For Ai Enablement jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Ai Enablement jobs in Raleigh, NC look for?

The top searched job categories for Ai Enablement jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Enablement jobs?

Cities near Raleigh, NC with the most Ai Enablement job openings:

Infographic showing various Ai Enablement job openings in Raleigh, NC as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $105,580 per year, or $50.8 per hour.

NCDOT - AI Enablement Engineer

Durham, NC • On-site

Expert Technology Services
IT Services • 11 - 50 employees

Contractor

Re-posted 6 days ago


Job description

NCDIT-T 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.
 
  • The candidate will need to come on-site on the first day to collect equipment.

  • All candidates must be local to the Triangle region of North Carolina.

  • This position may require up to 3 days per week at a Triangle area office for return to the office in addition to various in-person responsibilities, including meetings.

 
NCDIT-T 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.
  Required/Desired Skills   SkillRequired /DesiredAmountof ExperienceDirect experience integrating Azure OpenAI, Copilot Studio and other AI into Enterprise applications or services, including security configuration.Desired2YearsExperience guiding application teams on AI integration strategies.Required2YearsExperience with scaling AI workloads.Desired1YearsExperience working with app teams to migrate, modernize, or re-platform workloads in Azure, including supporting legacy integration.Desired2YearsExperience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools.Desired2Years