ZipRecruiter

Log In

1

Agentic Ai Jobs in Raleigh, NC (NOW HIRING)

Elsevier

Principal Software Engineer-Agentic AI

Raleigh, NC

$131K - $175K/yr

Are you a collaborative Agentic AI Engineer looking to work for a mission driven global organization? About the team: The Elsevier Healthcare Education (EHE) Data and Content Software Engineering ...

RELX

Principal Software Engineer-Agentic AI

Raleigh, NC

$131K - $175K/yr

Are you a collaborative Agentic AI Engineer looking to work for a mission driven global organization? About the team: The Elsevier Healthcare Education (EHE) Data and Content Software Engineering ...

Nvidia

Senior Software Engineer, Agentic AI

Durham, NC

$118K - $156K/yr

As a global leader in AI and deep learning, NVIDIA is redefining industries and our work in agentic computing is at the forefront of this revolution. Join us in building the scalable agentic ...

IQVIA

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Role Overview As an AI Solutions Architect, you will combine yourexpertisein foundation models, knowledge graphs, agentic AI, and data architecture with strong consulting and client leadership skills.

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

A production agentic workflow live in the JAGGAER platform, automating a meaningful step of a customer's source-to-pay process. At least one Generative AI / RAG capability shipped to customers, with ...

next page

Showing results 1-20

All JobsAgentic Ai JobsAgentic Ai Jobs in Raleigh, NC

Agentic Ai information

See Raleigh, NC salary details

$34

$63

$113

How much do agentic ai jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for agentic ai in Raleigh, NC is $63.93, according to ZipRecruiter salary data. Most workers in this role earn between $44.18 and $97.21 per hour, depending on experience, location, and employer.

How do Agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior data scientists, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What are agentic AI jobs?

Agentic AI jobs involve developing, managing, or deploying artificial intelligence systems that can perform tasks autonomously or with minimal human intervention. These roles often require skills in machine learning, programming, and understanding of AI algorithms, and may include positions such as AI engineers, researchers, or automation specialists.

Which jobs will agentic AI replace?

Agentic AI has the potential to automate tasks in roles such as customer service, data entry, and basic administrative support. Jobs that involve repetitive, rule-based tasks are most susceptible to automation, especially where AI can perform tasks faster and more accurately than humans. However, roles requiring complex decision-making, emotional intelligence, or creative skills are less likely to be fully replaced.

What are the key skills and qualifications needed to thrive as an AI Engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

What are Agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are growing in demand across industries such as technology, healthcare, and finance. Careers in this field typically require skills in machine learning, programming, and data analysis, and may involve working with AI frameworks and tools. The field offers opportunities for innovation and specialization but also requires ongoing learning due to rapid technological advancements.
What are popular job titles related to Agentic Ai jobs in Raleigh, NC? For Agentic Ai jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Agentic Ai jobs in Raleigh, NC look for? The top searched job categories for Agentic Ai jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Agentic Ai jobs? Cities near Raleigh, NC with the most Agentic Ai job openings:
Agentic Ai jobs near you
Agentic AI Software Developer

Agentic AI Software Developer

Ethos Risk Services

Garner, NC • Remote

$115K - $160K/yr

Full-time

Re-posted 7 days ago

Job description

ABOUT US:

Ethos Risk Services is a leading insurance claims investigation and medical management company committed to providing better data that translates into better decision-making for our clients. We are at the forefront of innovation in our space, and our success is driven by a dynamic team passionate about delivering exceptional services to our customers.

JOB SUMMARY:

Our synergetic Ethos IT Team is growing and seeking a full-time Agentic AI Software Developer (REMOTE) to architect and guide software solutions in an AI-first, spec-driven environment. This role translates business requirements into structured specifications, oversees AI-assisted development workflows, and ensures the quality, security, and performance of AI-generated code.

Our ideal candidate is a senior engineer with hands-on spec-driven development experience who has worked with agentic AI tools and AI-integrated systems. They have strong SQL experience, preferably PostgreSQL, and experience on development teams leveraging AI-assisted workflows, including reviewing and validating AI-generated code.

KEY RESPONSIBILITIES:

  • Spec-Driven Development– Translate business requirements into clear, testable specifications for AI-assisted development.
  • AI Workflow Orchestration – Oversee software generation using agentic AI tools, ensuring alignment with architecture.
  • Code Review & Quality – Rigorously review AI-generated code for accuracy, security, and maintainability.
  • Testing & Validation – Ensure outputs meet specifications through strong testing practices.
  • Prompt Engineering – Develop and refine prompts, constraints, and AI workflows for better outcomes.
  • Architecture & Modernization – Support scalable system design and migration from legacy environments.
  • Risk & Security – Identify and mitigate risks in AI-generated code and ensure secure development practices.
  • CI/CD & Automation – Contribute to pipelines with validation and quality gates for generated code.
  • Mentorship & Support – Guide team members and provide production support for AI-assisted systems.
  • Documentation – Maintain clear specifications, workflows, and technical documentation.
  • Collaboration – Partner with stakeholders to refine requirements and solution design.

QUALIFICATIONS:

Education: Master's degree in Computer Science, Data Science or a related field (preferred). Relevant experience may be a substitute for formal education.

Experience:

  • Minimum of 7 to 10 years of software development experience, primarily with C# and .NET technologies (required).
  • Minimum of 5 years working with MS SQL Server and PostgreSQL (required).
  • Minimum of 3 to 5 years of experience with cloud platforms, preferably in AWS (required).
  • Hands-on experience with AI-assisted or spec-driven development tools (e.g., Kiro or similar) (strongly preferred).
  • Proven experience reviewing and validating AI-generated code (required).
  • Experience with modern front-end frameworks, preferably in React.
  • Strong background in CI/CD pipelines, automation, and quality assurance.
  • Demonstrated ability to lead architecture and mentor engineering teams.

Certifications:

  • AI-assisted development or prompt engineering certifications (preferred).
  • Microsoft, AWS, or security certifications (plus).
  • Required completion of secure software development training annually, including AI-specific secure coding practices and validation techniques.

Skills:

  • Proficiency in Python and ML frameworks such as TensorFlow or PyTorch (preferred).
  • Experience with MLOps, CI/CD pipelines, and infrastructure-as-code (Terraform or CloudFormation) (required).
  • Strong understanding of data pipelines, model deployment, and performance monitoring (preferred).
  • Ability to translate business requirements into scalable AI system designs (preferred).
  • Excellent communication, stakeholder management, and problem-solving skills (required).

WORKING CONDITIONS:

This is a primarily remote position working in a home office environment, with a preference for candidates able to work within Eastern or Central Time Zone business hours. The role requires prolonged periods of sitting or standing while operating a computer and other office equipment. Communication with team members, clients, and stakeholders is expected.

Ethos Risk Services is an equal opportunity employer that does not discriminate on the basis of religious creed, sex, national origin, race, veteran status, disability, age, marital status, color or sexual orientation or any other characteristic.


Job Posted by ApplicantPro