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

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 ...

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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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 Sep 14, 2026, the average yearly pay for agentic ai engineer in Raleigh, NC is $98,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $113,200.00 per year, depending on experience, location, and employer.

Is agentic AI engineer a good career?

Agentic AI engineering is a growing field focused on developing autonomous AI systems, requiring skills in machine learning, programming, and systems design. It offers opportunities in research, development, and deployment across various industries, with demand expected to increase as AI technology advances. The role typically requires a strong technical background and continuous learning to stay current with evolving tools and techniques.

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 robotics, often requiring skills in programming, data analysis, and system integration to create intelligent agents that can operate in dynamic environments.

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 72% Full Time, and 28% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $98,911 per year, or $47.6 per hour.

Senior Data Scientist[Remote]- W2 Role

Raleigh, NC • On-site

SmartIPlace
IT Services • 51 - 200 employees
Learn more about SmartIPlaceexternal

Contractor

Posted 28 days ago

Job description

Senior Data Scientist II
Position: Senior Data Scientist II
Location: Remote (EST) — Hybrid in Raleigh, NC preferred
Rate Type: BH W2
Duration: 6 months, with possible extension/conversion
Interview Process: 2 rounds via video

Position Overview

LexisNexis is seeking experienced Senior Data Scientist II professionals to develop innovative, customer-facing data science and AI solutions. The ideal candidate will have strong expertise in modern data science, Generative AI, LLMs, RAG, agentic AI, unstructured data, and production machine learning.

You will work closely with Machine Learning Engineers (MLEs) and cross-functional teams throughout the product development and production lifecycle, turning complex data into scalable, customer-focused solutions.

Required Qualifications

  • 8+ years of total professional experience in data science, machine learning, or a closely related field.
  • 5+ years of recent Data Science experience, with hands-on expertise in areas such as:
    • MCP
    • RAG implementations, evaluations, validations, and proof-of-concepts
    • Agentic AI
    • Generative AI
    • LLM applications
    • Unstructured data
  • Proven experience building customer-facing data science or AI products.
  • Experience partnering with Machine Learning Engineers (MLEs) throughout the production lifecycle.
  • Strong Python programming skills.
  • Strong understanding of machine learning algorithms, including:
    • Deep Learning
    • Gradient Boosting
    • Random Forests
  • Experience working directly with Large Language Models (LLMs) and Transformer-based architectures, including:
    • BERT
    • RoBERTa
    • T5
  • Hands-on experience applying LLM technologies such as:
    • ChatGPT
    • GPT-3.5
    • Claude
    • Mistral
  • Experience working with large datasets and distributed computing systems, such as Hadoop and Spark.

Preferred Qualifications

  • Experience working within large enterprise environments.
  • Experience taking AI/ML solutions from experimentation and proof-of-concept through production.
  • Strong understanding of modern Generative AI and LLM ecosystem.
  • Experience working with cross-functional teams to deliver business and customer-focused solutions.

Key Responsibilities

  • Develop advanced data science and AI solutions using complex datasets.
  • Design, implement, evaluate, and validate RAG, agentic AI, MCP, and Generative AI solutions.
  • Work with unstructured data to extract meaningful insights and develop innovative AI applications.
  • Apply machine learning and deep learning techniques to solve complex business problems.
  • Work directly with LLMs and Transformer-based architectures.
  • Collaborate closely with MLEs to move models and AI solutions into production.
  • Contribute to the full product lifecycle, from research and experimentation through deployment and optimization.
  • Analyze large-scale datasets using distributed computing technologies such as Spark and Hadoop.
  • Partner with cross-functional teams to translate business requirements into data-driven solutions.
  • Drive actionable insights that support business strategy, customer experience, and product growth.
  • Stay current with emerging developments in Generative AI, LLMs, machine learning, and AI engineering.

Ideal Candidate

The ideal candidate is a senior-level Data Scientist with strong hands-on Generative AI/LLM experience, particularly someone who has recently worked on RAG, MCP, agentic AI, unstructured data, and customer-facing AI products and has experience taking solutions into production.

Must-Have Keywords:
Python | Data Science | Generative AI | LLM | RAG | MCP | Agentic AI | Unstructured Data | Machine Learning | Deep Learning | Transformers | BERT | RoBERTa | T5 | Spark | Hadoop | Customer-Facing Products | MLE Collaboration

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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