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Agentic Ai Jobs in Raleigh, NC (NOW HIRING)

We are looking for a visionary and hands-on Enterprise Architect to lead the design and development of JAGGAER's next-generation AI & Agentic AI platform along with . This is a strategic and deeply ...

Architect the next-gen AI/Agentic platform that powers autonomous procurement and supply chain workflows across global enterprises. Design and lead the end-to-end architecture across backend systems ...

Architect the next-gen AI/Agentic platform that powers autonomous procurement and supply chain workflows across global enterprises. Design and lead the end-to-end architecture across backend systems ...

Senior Product Marketing Manager - AI

Raleigh, NC ยท Hybrid

$117K - $154K/yr

You'll be at the forefront of bringing new agentic products to market that connect applications ... Analyze and understand the needs of AI innovation teams to create repeatable winning strategies ...

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Agentic Ai information

See Raleigh, NC salary details

$34

$63

$113

How much do agentic ai jobs pay per hour?

As of Sep 1, 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.

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.

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.

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.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

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:

Infographic showing various Agentic Ai job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $132,982 per year, or $63.9 per hour.

Full-time

Re-posted 14 days ago


Job description

Job Title: Agentic AI engineer
Location:- Detroit 48226 or Charlotte 28202 -3 Days Hybrid
Job Description:
Design, develop, and support cloud-native automation and Al agent workflows using Python and LLM orchestration frameworks (LangChain / LangGraph), deployed on AWS using containerized architectures.
โ€ข Develop automation solutions using Python.
โ€ข Build Al agents using LangChain and LangGraph to orchestrate tools, APls, and workflows.
โ€ข Integrate automations with enterprise systems via REST APIs and databases.
โ€ข Containerize services using Docker and support CI/CD pipelines.
โ€ข Deploy and operate solutions on AWS (IAM, S3, Lambda, ECS/Fargate, CloudWatch).
โ€ข Reasoning Engines: Experience with frontier models like GPT-4o, Claude 3.5, and Llama 3.x/4 specifically for tool-calling and JSON-mode outputs
Azure OpenAI proficiency .
โ€ข Agentic RAG 2.0: Develop "iterative retrieval" systems where agents autonomously decide if they have enough information or if they need to perform additional searches/queries.
โ€ข Implement logging, error handling, and basic monitoring.
โ€ข Collaborate with onshore architects and follow defined architecture standards.
Must Have skills:
Python (automation, backend services).
โ€ข JavaScript (React/Node JS)
โ€ข LangChain and/or LangGraph hands-on experience.
โ€ข Docker and container-based deployments.
โ€ข AWS Cloud Practitioner-level knowledge with hands-on exposure.
โ€ข REST APIS, JSON, Git.
Years of Experience: 8+ Years of Experience
Regards
Surya
Surya@rurisoft.com