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Senior Ai Agent Jobs in Raleigh, NC (NOW HIRING)

Bitovi

AI Automation Engineer V

Durham, NC · Remote

$126K - $244K/yr

This role reports to the Sr Manager, Enterprise Systems. This is a full-time role with Avalara ... Create reusable automation frameworks, workflow templates, prompt patterns, and AI agent ...

Bitovi

AI Automation Engineer V

Durham, NC · On-site +1

$126K - $244K/yr

This role reports to the Sr Manager, Enterprise Systems. This is a full-time role with Avalara ... and AI agent accelerators that increase consistency and reuse • Implement observability ...

Eaton

IT AI Senior Specialist

Raleigh, NC

$130K - $190K/yr

This is a hands-on senior individual contributor who leads the technical direction of the AI-Native ... AI Control Tower MVP live in production, covering runtime signals, agent inventory, and unified ...

CREO

Senior Analyst- AI Engineer

Durham, NC · Remote

As a Senior Analyst, you will play a pivotal role leading and delivering AI enablement engagements ... Agent Builder, Azure AI Foundry, Azure OpenAI, and the Anthropic API. * Own the end-to-end ...

CREO

Senior Analyst- AI Engineer

Durham, NC · On-site +1

As a Senior Analyst, you will play a pivotal role leading and delivering AI enablement engagements ... Agent Builder, Azure AI Foundry, Azure OpenAI, and the Anthropic API. * Own the end-to-end ...

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$78K

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How much do senior ai agent jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior ai agent in Raleigh, NC is $78,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,300.00 and $100,100.00 per year, depending on experience, location, and employer.

What is a Senior AI Agent?

A Senior AI Agent is an advanced artificial intelligence system or software designed to autonomously perform complex tasks and make decisions, often within a specific domain or organization. Unlike basic AI agents, Senior AI Agents typically have enhanced learning capabilities, can handle multi-step reasoning, and may collaborate with humans or other AI systems to achieve goals. They are frequently used in industries like finance, healthcare, and customer service to automate workflows, analyze data, and optimize processes. The 'senior' designation usually indicates a higher level of intelligence, autonomy, and responsibility in handling sophisticated challenges.

What are the key skills and qualifications needed to thrive as a Senior AI Agent?

To thrive as a Senior AI Agent, you need expertise in machine learning, data analysis, software engineering, and a strong foundation in computer science, often supported by an advanced degree. Proficiency with programming languages like Python, AI frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms are typically required, along with relevant certifications. Strong problem-solving skills, collaboration, and effective communication set top performers apart in this role. These skills are crucial for designing, implementing, and optimizing AI solutions that drive business innovation and impact.

What are some typical challenges faced by Senior AI Agents when integrating new AI models into existing systems?

Senior AI Agents often encounter challenges such as ensuring compatibility between new AI models and legacy systems, managing data consistency, and minimizing downtime during integration. They must also address scalability concerns and adapt models to fit real-world constraints, such as limited computational resources or changing business requirements. Effective collaboration with cross-functional teams—including software engineers, data scientists, and product managers—is essential to successfully deploy and maintain robust AI solutions.

What are the most commonly searched types of Ai Agent jobs in Raleigh, NC?

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Senior Ai Agent jobs near you
Infographic showing various Senior Ai Agent job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, and 6% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $78,046 per year, or $37.5 per hour.

Senior AI Infrastructure Engineer - EDA Infrastructure

Nvidia

Durham, NC

$104K - $142K/yr

Full-time

Posted 6 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

AI Infrastructure Engineers at NVIDIA build the systems, tooling, and data infrastructure that enable operation of our GPU cloud services. We are enabling engineering teams to innovate while proactively identifying, tracking, and mitigating risks across the entire technical task.

This role is ideal for engineers who thrive at the intersection of product, infrastructure, and software engineering and who want to build automated, intelligence-driven systems that protect NVIDIA's most critical AI platforms.

What you'll be doing:

Telemetry

  • Build and operate scalable telemetry pipelines for metrics, logs, traces, and events across on-premise, CSP, and NCP clusters.

  • Establish common instrumentation, collection, storage, and access patterns so teams can generate and consume telemetry consistently.

  • Deliver dashboards, alerting, and analysis capabilities that improve service visibility, detection, and troubleshooting.

Operational Excellence

  • Standardize and automate incident, maintenance, service on-call, and support on-call workflows across HWInf.

  • Integrate operational data and lifecycle signals to improve ownership, escalation, communication, and post-incident learning.

  • Build reporting and AI-assisted tooling that reduces manual toil and improves operational responsiveness.

Cataloging and Inventory

  • Build and maintain physical hardware and software catalogs as trusted sources of truth for infrastructure inventory, service ownership, dependencies, and documentation.

  • Create consistent data models and integration pipelines that connect clusters, hardware, services, teams, and operational workflows.

  • Provide self-service discovery capabilities so engineers can quickly identify what they operate, who owns it, and how to support it.

What we need to see:

  • BS degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.

  • 8+ years of experience in infrastructure platform engineering, or tooling.

  • Proficiency in one or more programming languages such as Python, Go, Typescript, or Java.

  • Strong understanding of software and infrastructure principles, with experience applying them in production environments.

  • Ability to lead cross-functional initiatives that span internal teams and external partners in varying disciplines across engineering, product, finance, and security.

Ways to stand out from the crowd:

  • Experience building and operating incident-management processes with internally built and/or externally vended SaaS tools

  • Experience working with building, deploying, and maintaining ML models in production systems along with familiarity with AI agent frameworks or orchestration tools

  • Experience building and operating modern observability platforms to deliver scalable metrics, logs, traces, and profilingExperience working with service catalog and configuration management databases (CMDB)

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. If you're creative and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 7, 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

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