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Artificial Intelligence Systems Engineer Jobs in Raleigh, NC

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Artificial Intelligence Systems Engineer information

See Raleigh, NC salary details

$52K

$123.7K

$162.3K

How much do artificial intelligence systems engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for artificial intelligence systems engineer in Raleigh, NC is $123,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $152,600.00 per year, depending on experience, location, and employer.

What does an artificial intelligence systems engineer do?

An Artificial Intelligence Systems Engineer designs, develops, and integrates AI systems into software and hardware environments. Their responsibilities include building machine learning models, deploying AI algorithms, optimizing system performance, and ensuring the scalability and reliability of AI solutions. They often collaborate with data scientists, software engineers, and product teams to bring AI-powered features to various applications. Additionally, they may work on setting up data pipelines, monitoring system health, and maintaining the security and ethical standards of AI systems.

What are the key skills and qualifications needed to thrive as an artificial intelligence systems engineer?

To thrive as an Artificial Intelligence Systems Engineer, you need a strong background in computer science, machine learning, and mathematics, typically supported by a relevant degree and experience in AI model development. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and cloud platforms like AWS or Azure is essential, along with knowledge of data engineering tools. Strong problem-solving abilities, collaboration, and effective communication skills set standout professionals apart in this role. These skills enable the development, deployment, and optimization of AI solutions that drive business value and innovation.

What are some common challenges faced by artificial intelligence systems engineers when deploying AI models into production environments?

Artificial Intelligence Systems Engineers often encounter challenges related to integrating AI models into existing systems, ensuring scalability, and maintaining robust performance in production. Issues such as data pipeline inconsistencies, model drift, and the need to monitor for bias or unexpected outputs require continuous attention. Collaborating closely with data scientists, software engineers, and IT professionals is crucial to address these challenges and to ensure the AI solutions are reliable and aligned with business needs. Staying updated with best practices in MLOps can also help streamline deployment processes and minimize operational issues.

What is the difference between Artificial Intelligence Systems Engineer vs Data Scientist?

AspectArtificial Intelligence Systems EngineerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in AI/MLBachelor's or master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI systems, algorithms, and integrations; collaborates with engineering teamsAnalyzes data, builds models, and provides insights; works closely with business units
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles require expertise in machine learning and programming, Artificial Intelligence Systems Engineers focus on designing and implementing AI systems and infrastructure, whereas Data Scientists primarily analyze data and develop models to extract insights. The roles often overlap but differ in their core responsibilities and work environments.

Infographic showing various Artificial Intelligence Systems Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,663 per year, or $59.5 per hour.

Cloud Senior Principal Engineer

Raleigh, NC • On-site

The University Of North Carolina System
10K+ employees
Learn more about The University Of North Carolina Systemexternal

$122K - $168K/yr

Full-time

Re-posted 20 days ago

Job description

The Cloud Senior Principal Engineer serves as the organization's highest-level technical contributor and engineering leader for cloud platforms, artificial intelligence solutions, enterprise applications, and digital transformation initiatives. This position provides strategic technical direction, establishes engineering standards and architecture practices, and leads the design and implementation of complex, enterprise-wide technology solutions.The Senior Principal Engineer oversees the technical work of Cloud and AI Engineering team while fostering a culture of innovation, engineering excellence, and continuous improvement. The role serves as the primary technical advisor for emerging technologies, cloud architecture, AI strategy, enterprise platform modernization, and system-wide digital initiatives.

Working closely with executive leadership, business stakeholders, and technology teams, the Senior Principal Engineer translates strategic objectives into scalable, secure, and sustainable technical solutions. This position maintains deep technical expertise while providing mentorship, architectural governance, and leadership across multiple technology domains including cloud computing, artificial intelligence, application development, enterprise integration, cybersecurity, and platform engineering.

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