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Ai Infrastructure Jobs in Raleigh, NC (NOW HIRING)

VAST Data

Linux Kernel Developer

Raleigh, NC · On-site

We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and ...

VAST Data

Linux Kernel Developer

Raleigh, NC · On-site

We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and ...

RELX Group plc

Senior Software Engineer

Raleigh, NC · On-site

$95K - $158K/yr

Are you passionate about building scalable AI infrastructure and shaping governance for cutting-edge GenAI solutions? Do you enjoy collaborating across teams while mentoring others and translating ...

RELX

Senior Software Engineer

Raleigh, NC · On-site

$95K - $158K/yr

Are you passionate about building scalable AI infrastructure and shaping governance for cutting-edge GenAI solutions? Do you enjoy collaborating across teams while mentoring others and translating ...

LexisNexis

Senior Software Engineer

Raleigh, NC · On-site

$95K - $158K/yr

Are you passionate about building scalable AI infrastructure and shaping governance for cutting-edge GenAI solutions? Do you enjoy collaborating across teams while mentoring others and translating ...

LexisNexis

Senior Software Engineer

Raleigh, NC · On-site

$95K - $158K/yr

Are you passionate about building scalable AI infrastructure and shaping governance for cutting-edge GenAI solutions? Do you enjoy collaborating across teams while mentoring others and translating ...

VAST Data

DevOps Engineer (East Coast)

Raleigh, NC · On-site +1

$51.25 - $70.25/hr

We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and ...

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Ai Infrastructure information

See Raleigh, NC salary details

$27

$57

$84

How much do ai infrastructure jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai infrastructure in Raleigh, NC is $57.53, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $67.07 per hour, depending on experience, location, and employer.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

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

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

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

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

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

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

Ai Infrastructure jobs near you
Infographic showing various Ai Infrastructure job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $105,721 per year, or $50.8 per hour.

Top Graduate QA Automation Engineer - Qforce - RTP

VAST Data

Raleigh, NC • On-site

Full-time

Re-posted 4 days ago

Job description

Description
VAST Data is looking for a QA Automation Engineer -A new college Grad to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market."- Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
Requirements
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute testing plans with deep system knowledge and understanding.
Desired Skills & Experience
B.Sc./B.A. degree in computer science, engineering or related discipline
Experience with Python
Understanding of Linux operating system
Experience in development of product testing, manufacturing, automation tools - an advantage
Experience with virtualization, cloud, networking, or storage technologies - an advantage

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