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Executive Ai Infrastructure Engineer Jobs in Raleigh, NC

Senior Applied AI Engineer

Durham, NC

$101K - $138K/yr

Design, develop, and improve scalable infrastructure to support the next generation of AI ... Strong Python engineering skills are preferred, with the ability to design, prototype, and ...

You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI ... executives, and engineers. Preferred * Direct experience with Microsoft Azure AI services, GPU ...

You will work across Engineering, AI, Platform, Infrastructure, Digital Workplace, Security ... Communicate risk in plain business language to technical and executive stakeholders. * Establish ...

The team + the role Pendo's Applied AI team turns AI infrastructure into real business outcomes across Sales, Marketing, and Customer Engineering. AI here isn't a feature we bolt on - it's how we ...

The team + the role Pendo's Applied AI team turns AI infrastructure into real business outcomes across Sales, Marketing, and Customer Engineering. AI here isn't a feature we bolt on - it's how we ...

DevOps Engineer (East Coast)

Raleigh, NC · On-site +1

$51.25 - $70.25/hr

... the AI era. We are building the enterprise software infrastructure to capture, catalog, refine ... Engineer position is a sales engineering operations role and is an integrated part of our sales ...

Senior Software Engineer

Raleigh, NC · On-site

$95.30 - $158.80/hr

Are you passionate about building scalable AI infrastructure and shaping governance for ... Requirements * 5+ years of Software Engineering experience * BS Engineering/Computer Science or ...

New

Reliability Engineer

Raleigh, NC · On-site

$99K - $125K/yr

... executive and customer review. * Clearly communicate reliability risks and tradeoffs in high ... Additional Qualifications * Experience with AI data center or hyperscale infrastructure

Showing results 21-40

Executive Ai Infrastructure Engineer information

See Raleigh, NC salary details

$45.2K

$123.5K

$176.9K

How much do executive ai infrastructure engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for executive ai infrastructure engineer in Raleigh, NC is $123,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $137,100.00 per year, depending on experience, location, and employer.

What is the difference between Executive Ai Infrastructure Engineer vs Data Engineer?

AspectExecutive Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in Computer Science, AI, or related fields; certifications in cloud platforms and AI toolsBachelor's in Computer Science, Data Science, or related; certifications in data management and cloud platforms
Work EnvironmentDesigning and overseeing AI infrastructure, collaborating with AI teams, managing cloud resourcesBuilding data pipelines, managing databases, ensuring data quality and accessibility
Employer & Industry UsageTech companies, AI startups, enterprises deploying AI solutionsData-driven companies, analytics firms, tech organizations handling large datasets

The Executive Ai Infrastructure Engineer focuses on designing and managing AI-specific infrastructure, ensuring optimal performance for AI applications. In contrast, a Data Engineer primarily builds and maintains data pipelines and databases to support analytics and machine learning. Both roles require technical expertise and often collaborate, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Raleigh, NC? The most popular types of Ai Infrastructure Engineer jobs in Raleigh, NC are:

Senior Applied AI Engineer

Nvidia

Durham, NC

$101K - $138K/yr

Full-time

Posted 21 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

NVIDIA has been transforming accelerated computing with innovation that's fueled by great technology-and amazing people. As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of the chip industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions.

You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.

What you'll be doing:

  • Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools.

  • Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale.

  • Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence.

  • Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization.

What we need to see:

  • MS or higher degree (or equivalent experience) in Computer Science, Engineering, AI, or a related technical field, with 5+ years of hands-on software engineering experience building production-grade software systems, and demonstrated experience shipping AI/LLM-powered applications, agents, or automation workflows into real production environments.

  • Strong Python engineering skills are preferred, with the ability to design, prototype, and productionize AI-enabled services, APIs, integrations, automation workflows, and internal tools.

  • Practical experience building LLM-powered agents or agentic workflows, with hands-on use of Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or equivalent coding agents to improve real software developmentworkflows.

  • Solid software engineering fundamentals and production mindset, including system design, API design, testing, CI/CD, code quality, observability, security, databases, containers, and distributed or event-driven systems.

  • Ability to identify repetitive, high-friction, or knowledge-intensive workflows and turn them into practical AI-enabled tools, automations, or assistants that improve productivity and operational efficiency.

  • Demonstrated end-to-end ownership of engineering solutions, from architecture and development to deployment, integration, and ongoing operations/support.

  • Excellent communication skills and a collaborative, proactive approach.

Ways to stand out from the crowd:

  • Strong ability to connect AI applications and agents with existing systems, services, databases, documentation, codebases, and enterprise workflows in a secure, reliable, and maintainable way. Experience with emerging integration patterns such as MCP, Skills, or similar frameworks is a plus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993