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Ai Integration Engineer Jobs in Raleigh, NC (NOW HIRING)

GEI Consultants

AI Engineer

Cary, NC

$110K - $150K/yr

This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner. The AI Engineer plays a hands-on role in active AI ...

GEI Consultants

AI Engineer

Cary, NC · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Integrate AI capabilities into business workflows and applications. * Integrate enterprise data ...

SAS

Software Developer - Data Services

Cary, NC · On-site

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:

Accenture

SCADA Migration & Integration Lead

Raleigh, NC · On-site

$68.75 - $88.75/hr

... AI to create value at speed across the enterprise, bringing together the talent of our ... We are Supply Chain and Engineering: We embed innovation, intelligence, and sustainability in the ...

New

Vadum, Inc.

AI Solutions Engineer

Raleigh, NC · On-site

$121K - $173K/yr

Customer Integration & Deployment * Lead technical discovery, solution scoping, and integration planning with customer engineering teams. * Deploy AI pilots into customer environments (cloud, on-prem ...

Vadum Inc

AI Solutions Engineer

Raleigh, NC

Customer Integration & Deployment * Lead technical discovery, solution scoping, and integration planning with customer engineering teams. * Deploy AI pilots into customer environments (cloud, on-prem ...

Vadum Inc

AI Solutions Engineer

Raleigh, NC · On-site

Customer Integration & Deployment * Lead technical discovery, solution scoping, and integration planning with customer engineering teams. * Deploy AI pilots into customer environments (cloud, on-prem ...

Bitovi

Business Systems Analyst - AI Automation

Durham, NC · Remote

$126K - $244K/yr

... Engineering (required) * 5+ years of experience as a Business Systems Analyst or Techno-Functional Analyst * Experience working with AI automation, enterprise workflows, system integrations, APIs ...

Bitovi

Business Systems Analyst - AI Automation

Durham, NC · On-site +1

$126K - $244K/yr

... Engineering (required) * 5+ years of experience as a Business Systems Analyst or Techno-Functional Analyst * Experience working with AI automation, enterprise workflows, system integrations, APIs ...

Mondo

AI Engineer

Raleigh, NC · Remote

$130K - $160K/yr

AI Engineer, location is remote in the Raleigh, NC area with onsite collaboration as needed. The ... Develop backend services, APIs, and integrations using Elixir * Work with SQL databases and ...

Direct Supply, Inc.

AI Engineer

Durham, NC · On-site

We're hiring engineers to design, ship, and operate those systems in production. This role spans ... Experience integrating AI solutions into existing, established products. * Experience working with ...

Deloitte

AI Senior Manager - SFL Scientific

Raleigh, NC · On-site

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

Lindsay & Brownell

AI Engineer

Raleigh, NC · On-site

We are seeking a Senior AI Engineer specializing in MLOps and AIOps, who will play a critical role ... Implement MLOps pipelines for continuous integration, deployment, and lifecycle management using ...

SAS

CI360 AI & Agentic AI Product Manager

Cary, NC · On-site

... managers, engineering, data science, UX, architecture, and go-to-market teams to deliver ... enterprise AI integration patterns. * Understanding of responsible AI, model governance ...

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Showing results 21-40

All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Raleigh, NC

Ai Integration Engineer information

See Raleigh, NC salary details

$43.3K

$120.8K

$168.7K

How much do ai integration engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai integration engineer in Raleigh, NC is $120,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $136,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

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

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.
What job categories do people searching Ai Integration Engineer jobs in Raleigh, NC look for? The top searched job categories for Ai Integration Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Integration Engineer jobs? Cities near Raleigh, NC with the most Ai Integration Engineer job openings:
Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,805 per year, or $58.1 per hour.

DevOps AI Cloud Engineer / Onsite in Raleigh, NC

Motion Recruitment Partners, LLC

Raleigh, NC • On-site

$51.25 - $70.25/hr

Other

Posted 10 days ago

Job description

This Raleigh-based organization is seeking a Hybrid AI Cloud Engineer (DevOps-focused) to join a small but rapidly growing team, working onsite 3 days per week. This role blends modern DevOps practices with cutting-edge Generative AI, leveraging technologies such as AWS, Terraform, Kubernetes (EKS), Jenkins CI/CD, and Amazon Bedrock. The position is ideal for a mid-level engineer who is eager to deepen their experience in AI infrastructure while contributing to a highly impactful platform buildout.
This is a unique opportunity to work directly alongside early AI/ML hires, helping shape the organization's cloud and AI strategy from the ground up. The engineer in this role will drive real innovation-building scalable systems that operationalize AI, integrating LLMs into production environments, and enabling automation across the business. Strong learning agility, curiosity around AI tooling, and a hands-on mindset will set candidates apart. Required Skills & Experience
  • 3-6+ years of experience in DevOps, Cloud Engineering, or similar
  • Strong experience with AWS cloud services
  • Infrastructure as Code expertise with Terraform
  • Experience with containerization (Docker) and orchestration via Kubernetes / EKS
  • CI/CD pipeline experience, preferably with Jenkins
  • Hands-on exposure to Generative AI tools (e.g., Amazon Bedrock, OpenAI APIs, or similar)
  • Experience working with or integrating Large Language Models (LLMs)
  • Ability to deploy, manage, and scale cloud-native systems
  • Strong understanding of system reliability, monitoring, and automation
  • Solid communication skills and ability to work in a collaborative team environment
Desired Skills & Experience
  • Experience building or contributing to MLOps platforms or AI infrastructure
  • Exposure to AI governance, compliance, or regulatory frameworks
  • Familiarity with Python or similar scripting languages for automation
  • Experience building or deploying AI agents or GenAI-based applications
  • Knowledge of security best practices in cloud and AI environments
  • Startup or early-stage team experience (comfort with ambiguity and rapid change)
What You Will Be Doing
Tech Breakdown
  • 60% DevOps / Cloud Infrastructure (AWS, Terraform, Kubernetes, CI/CD)
  • 40% AI/ML Integration & Platform Development (Bedrock, LLMs, GenAI tools)
Daily Responsibilities
  • 40% Designing and building scalable AI platform infrastructure
  • 30% Implementing and optimizing CI/CD pipelines and cloud environments
  • 20% Integrating and deploying AI/GenAI solutions and LLM-based applications
  • 10% Staying current with AI regulations, governance, and best practices
The Offer
  • 15% annual bonus
  • Hybrid work model (Raleigh - onsite 3 days/week)
  • Opportunity to join a growing AI-focused team at an early stage
  • Work on high-impact, cutting-edge AI and cloud initiatives

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