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Ai Integration Jobs in Raleigh, NC (NOW HIRING)

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:

Henderson Scott

Artificial Intelligence Engineer

Raleigh, NC · On-site

$53.75 - $69.25/hr

Develop reusable AI integration patterns and reference architectures. * Support the onboarding of business applications onto an enterprise AI platform. * Design scalable, secure and resilient cloud ...

New

Litera

Integration Engineering Consultant

Raleigh, NC

$101K - $136K/yr

If you're passionate about building AI-forward solutions that scale globally and want your work to ... As an Integration Engineer in the Professional Services business unit,you will actively automate ...

Apex Systems

Integration Engineer

Raleigh, NC · On-site

$101K - $136K/yr

Job#: 3037675 Integration Engineer Location: Onsite: Raleigh, NC; Charlotte, NC; Winston-Salem, NC ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

NetApp, Inc.

IT Product Manager

Morrisville, NC · On-site

Collaborate with teams to design scalable AI architectures, including models, data pipelines, governance, and integration. * Promote experimentation and rapid iteration to validate AI use cases with ...

Bandwidth

AI Knowledge Manager

Raleigh, NC

Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and ...

NetApp

IT Product Manager

Morrisville, NC · On-site

Collaborate with teams to design scalable AI architectures, including models, data pipelines, governance, and integration. * Promote experimentation and rapid iteration to validate AI use cases with ...

Bandwidth

AI Knowledge Manager

Raleigh, NC · On-site

Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and ...

Bandwidth

AI Knowledge Manager

Raleigh, NC · On-site

Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, 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.
Software Developer - Data Services

Software Developer - Data Services

SAS

Cary, NC • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description


Software Developer - Data Services - Hybrid, Cary, NC
We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
About the job
The Customer Intelligence R&D Data Engineering team builds cloud-native backend services and platform capabilities that support CI360. We design systems that handle high-volume event data, real-time processing, and service orchestration across multiple tenants and value streams. This is a backend engineering role operating at scale-not a traditional data pipeline role.
Our platform is evolving toward:
  • Cloud-first, containerized architectures
  • Event-driven, distributed backend systems
  • 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:
  • Architect and implement scalable, cloud-native backend services (Java-based) deployed on AWS
  • Design for resilience, elasticity, and multi-tenant scale using modern cloud patterns
  • Build and evolve distributed systems leveraging services such as EKS, Lambda, Step Functions, SQS, SNS, DynamoDB, and OpenSearch
  • Develop event-driven architectures that support real-time data processing and orchestration
  • Own the design of service interfaces, APIs, and backend abstractions that other teams depend on
  • Work with open table formats (e.g., Apache Iceberg) to enable:
    • Reliable, ACID-compliant data access across distributed systems
    • Scalable, cloud-native analytical and operational workloads
    • Seamless interoperability between backend services, data pipelines, and AI workloads
  • Apply Generative AI to backend engineering challenges, such as:
    • Intelligent workflow orchestration
    • Automated decisioning and routing
    • AI-assisted data transformation and service optimization
  • Enhance cloud-native observability-metrics, logging, tracing, and alerting-to ensure production readiness and operational excellence
  • Be encouraged to participate in open-source projects on behalf of SAS.
  • Ensure all applicable security policies and processes are followed to support the organization's secure software development goals.
  • Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

Required qualifications
  • 5+ years of experience building backend or distributed systems in cloud environments
  • Bachelor's degree in computer science or related field (or equivalent experience)
  • Strong proficiency in Java, with experience delivering production services
  • Hands-on experience with cloud-native architectures (AWS or similar), including:
    • Microservices or service-oriented architecture
    • Containerized deployments (Docker, Kubernetes, ECS/EKS)
    • Managed cloud services (Lambda, SQS, SNS, DynamoDB, etc.)
  • Experience with Python for cloud automation, AI integration, or tooling
  • Exposure to streaming architectures (Kafka, Kinesis, Flink)
  • Strong SQL and relational database expertise (e.g., PostgreSQL, MySQL, AWS RDS), with experience designing efficient, scalable data access layers and optimizing performance in production systems.
  • Demonstrated ability to design scalable, resilient, cloud-deployed systems
  • Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Additional competencies, knowledge, and skills
  • Innovation - You must be creative and devise unique solutions to complex problems that provide a competitive advantage for our products.
  • Technology Savvy - You must keep apprised of emerging industry trends and technology to consistently recommend modern approaches to our challenges.
  • Complexity - Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
  • Supervision - Works independently; receives minimal guidance on day-to-day work and new projects or assignments.
  • Experience working with or designing systems using open table formats, such as:
    • Apache Iceberg
    • Delta Lake or Apache Hudi
  • Familiarity with AI/ML or Generative AI integration into backend systems
  • Strong understanding of cloud observability and operational excellence.

World-class benefits
Highlights include...
  • Comprehensive medical, prescription, dental and vision plans.
  • Medical plan options include:
    • PPO with low annual deductible and copays.
    • HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
  • Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
  • An industry-leading 401k plan.
  • Tuition Assistance Program and programs and resources to support your development
  • Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
  • Volunteer Time Off, parental leave and unlimited paid sick days.
  • Generous childcare benefits for all full-time employees.

Additional Information
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity/Affirmative Action employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Know Your Rights. Also view the Pay Transparency notice.
Job level will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
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