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

Nvidia

Senior Applied AI Engineer

Durham, NC · On-site

$101K - $138K/yr

MS or higher degree (or equivalent experience) in Computer Science, Engineering, AI, or a related ... Practical experience building LLM-powered agents or agentic workflows, with hands-on use of Claude ...

Accenture

Senior Advanced AI Research Engineer

Raleigh, NC · On-site

$101K - $139K/yr

You investigate hard, open problems in agentic AI - and you close the loop: turning research findings into engineered prototypes, then into platform-ready capabilities that real workloads depend on.

New

Material Bank

Applied AI Engineer

Raleigh, NC · On-site

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next ... and agentic systems. We are looking for someone who not only understands modern AI systems ...

Pearson

Software Engineer III

Durham, NC · On-site

$80K - $140K/yr

The Software Engineer - AgentOps Enterprise Automations is responsible for designing, developing ... Design, develop, test, and deploy enterprise automation solutions using Agentic AI, RPA, and ...

Infosys Limited Digital

AI Architect

Raleigh, NC · On-site

$64.50 - $77.75/hr

... Agentic AI|Agent Engineering Technical Skills 3 Foundational|Development Methodology|Model driven development Technical Skills 4 Technology|AI Engineering|LLMOps Technical Skills 5 Technology|Cloud ...

FHR

M724-UiPath Developer 65886

Raleigh, NC · On-site

Title: UiPath Developer/System Programmer 4 The UiPath Developer is responsible for designing ... This role supports both traditional linear automation workflows and emerging Agentic AI solutions ...

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All JobsAgentic Ai Engineer JobsAgentic Ai Engineer Jobs in Raleigh, NC

Agentic Ai Engineer information

See Raleigh, NC salary details

$37.9K

$98.9K

$133.7K

How much do agentic ai engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for agentic ai engineer in Raleigh, NC is $98,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $113,200.00 per year, depending on experience, location, and employer.

What does an agentic AI engineer do?

An agentic AI engineer designs and develops autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and AI frameworks to create systems that can adapt and operate in dynamic environments, often requiring knowledge of programming, data analysis, and AI ethics.
What are popular job titles related to Agentic Ai Engineer jobs in Raleigh, NC? For Agentic Ai Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Agentic Ai Engineer jobs in Raleigh, NC look for? The top searched job categories for Agentic Ai Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Agentic Ai Engineer jobs? Cities near Raleigh, NC with the most Agentic Ai Engineer job openings:
Agentic Ai Engineer jobs near you
Infographic showing various Agentic Ai Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $98,911 per year, or $47.6 per hour.

Senior Applied AI Engineer

Nvidia

Durham, NC • On-site

$101K - $138K/yr

Full-time

Posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 243 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

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