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Ai Integration Jobs in Raleigh, NC (NOW HIRING)

Itron, Inc

AI Developer

Raleigh, NC

Implement AI integration patterns such as retrievalaugmented generation (RAG), tool/function ... calling, and agentbased workflows into applications and internal tooling. * Create and maintain API ...

Itron, Inc.

AI Developer

Raleigh, NC · On-site

Implement AI integration patterns such as retrievalaugmented generation (RAG), tool/function ... calling, and agentbased workflows into applications and internal tooling. * Create and maintain API ...

Deloitte

Integration Engineer II- AI & Engineering

Raleigh, NC · Hybrid

$101K - $136K/yr

Integration Engineer II- AI & Engineering Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You ...

Direct Supply

Staff Software Engineer

Durham, NC · On-site

Required : • 5-7+ years of software development experience, including 2+ years working on AI-powered applications or AI-integrated solutions. • Bachelor's degree in Computer Science, Computer ...

Deloitte

AI Senior Manager - SFL Scientific

Raleigh, NC · On-site

From strategy to execution, this team delivers integrated, end-to-end support and advisory services ... Our scientists and engineers' partner with Deloitte to deliver custom AI capabilities. With our ...

Bitovi

Business Systems Analyst - AI Automation

Durham, NC · On-site +1

$126K - $244K/yr

Experience working with AI automation, enterprise workflows, system integrations, APIs, n8n, Boomi, or automation platforms * Strong understanding of Agentic AI, REST APIs, webhooks, JSON, data ...

Directsupply

Staff Software Engineer

Durham, NC

Technical expertise in AI integration across natural language processing, computer vision, and generative models. What You'll Do and Impact: * Lead and mentor engineers in AI-first development ...

SAS

Software Developer Data Services

Cary, NC

Deep integration of AI capabilities into core services and workflows As a Software Developer, you will: Design and build cloud-native backend systems that are foundational to the platform:

US Radiology Specialists

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

This role will report to the SVP of AI Integrations and work closely with the AI and IT teams, as well as the enterprise-wide AI Governance Council to intake requests, define solution approaches, and ...

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Showing results 1-20

All JobsAi Integration JobsAi Integration Jobs in Raleigh, NC

Ai Integration information

See Raleigh, NC salary details

$20.9K

$114.7K

$166.2K

How much do ai integration jobs pay per year?

As of Jul 13, 2026, the average yearly pay for ai integration in Raleigh, NC is $114,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $142,400.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI solutions architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact on business or technology development.

What are some common challenges faced when integrating AI solutions into existing business processes?

One of the most common challenges in AI integration is ensuring that new AI tools seamlessly interact with legacy systems and data formats. Team members often need to address data quality issues, adapt workflows, and manage stakeholder expectations regarding the capabilities and limitations of AI. Collaboration with IT, operations, and business units is essential to customize solutions and ensure user adoption. Additionally, ongoing monitoring and retraining of AI models is necessary to maintain performance and align with evolving business goals.

What is an AI integration job?

An AI integration job involves implementing artificial intelligence systems into existing software or workflows to improve functionality or automate processes. It requires skills in programming, data analysis, and understanding AI tools and platforms. Professionals in this role often collaborate with development teams and may need knowledge of machine learning, APIs, and cloud services.

How much does an AI integration specialist make?

An AI integration specialist typically earns between $70,000 and $130,000 annually, depending on experience, location, and industry. Professionals with skills in machine learning, programming, and cloud platforms tend to have higher salaries, especially in tech-focused environments.

What are the key skills and qualifications needed to thrive as an AI Integration Specialist, and why are they important?

To excel as an AI Integration Specialist, you need a solid background in computer science, proficiency in programming languages (such as Python), and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), APIs, and integration tools is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams make someone stand out in this role. These competencies are crucial for successfully implementing AI solutions that align with business needs and ensuring seamless system interoperability.

What is AI integration?

AI integration refers to the process of incorporating artificial intelligence technologies into existing systems, applications, or business processes to enhance automation, improve decision-making, and optimize performance. This can involve connecting AI models, such as machine learning algorithms or natural language processing tools, with software platforms, databases, or workflows. The goal is to enable systems to analyze data, learn from patterns, and perform tasks that traditionally required human intelligence. AI integration can benefit a wide range of industries, including healthcare, finance, manufacturing, and customer service.

What is the difference between Ai Integration vs Data Analyst?

AspectAi IntegrationData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; knowledge of AI/ML toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, software firmsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageDeveloping AI solutions, integrating AI into productsInterpreting data, generating reports, supporting decision-making

While Ai Integration specialists focus on implementing AI systems and integrating AI technologies into applications, Data Analysts interpret data to provide insights and support business decisions. Both roles require analytical skills, but Ai Integration emphasizes technical development and system integration, whereas Data Analysts focus on data interpretation and reporting.

How to become an AI integration specialist with no experience?

To become an AI integration specialist with no experience, start by learning foundational skills in programming languages like Python and understanding AI concepts such as machine learning and APIs. Gaining hands-on experience through online courses, tutorials, and small projects helps build practical skills, while certifications in AI or cloud platforms can enhance your credentials. Entry-level roles may require demonstrating problem-solving abilities and familiarity with AI tools and frameworks.
What are popular job titles related to Ai Integration jobs in Raleigh, NC? For Ai Integration jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Integration jobs in Raleigh, NC look for? The top searched job categories for Ai Integration jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Integration jobs? Cities near Raleigh, NC with the most Ai Integration job openings:
Ai Integration jobs near you
Infographic showing various Ai Integration job openings in Raleigh, NC as of July 2026, with employment types broken down into 72% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $114,692 per year, or $55.1 per hour.
NCDOT - AI Enablement Engineer

NCDOT - AI Enablement Engineer

Expert Technology Services

Durham, NC • On-site

Contractor

Posted 19 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