2

Entry Level Generative Ai Engineer Jobs in Raleigh, NC

Senior Data Scientist II

Raleigh, NC · On-site +1

$115K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with generative AI techniques (e.g., prompt engineering, RAG). * Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. * Experience ...

Site Reliability Engineer Intern 2027

Durham, NC · On-site

$55 - $73.25/hr

... to generative AI-to help make organizations more responsive, productive, and resilient. IBM ... Job Title Site Reliability Engineer Intern 2027 Date posted 11-Aug-2026 Job ID 128513 City ...

Generative AI/transformers, agentic AI, deep learning * Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series * Strong programming in R and/or Python; best ...

Generative AI/transformers, agentic AI, deep learning * Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series * Strong programming in R and/or Python; best ...

Software Developer Intern 2027

Durham, NC · On-site

$18.50 - $24.50/hr

... to generative AI-to help make organizations more responsive, productive, and resilient. IBM ... Job Title Software Developer Intern 2027 Date posted 11-Aug-2026 Job ID 128497 City / Township ...

... to generative AI-to help make organizations more responsive, productive, and resilient. IBM ... Job Title Software Developer Spring Co-op 2027 Date posted 12-Aug-2026 Job ID 128506 City ...

New

Site Reliability Engineer Spring Co-op 2027

Durham, NC · On-site

$55 - $73.25/hr

As a Site Reliability Engineer, you will work in an agile, collaborative environment to build ... to generative AI-to help make organizations more responsive, productive, and resilient. IBM ...

New

Assistant Professor

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrated ability to apply AI or generative AI methods to solve complex, real-world engineering problems * Experience working with large-scale or complex datasets relevant to infrastructure and ...

Assistant Professor

Raleigh, NC · On-site

$100K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrated ability to apply AI or generative AI methods to solve complex, real-world engineering problems * Experience working with large-scale or complex datasets relevant to infrastructure and ...

Showing results 41-60

Entry Level Generative Ai Engineer information

See Raleigh, NC salary details

$29.2K

$67.4K

$114.7K

How much do entry level generative ai engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level generative ai engineer in Raleigh, NC is $67,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,300.00 per year, depending on experience, location, and employer.

What is an entry level generative AI engineer?

Entry level generative AI engineers are professionals who work with artificial intelligence technologies focused on creating new content such as images, text, audio, or code. They typically assist in developing, training, and fine-tuning machine learning models like GPT or GANs under the supervision of senior engineers. These roles usually require a strong foundation in programming, mathematics, and machine learning concepts, but may not demand extensive industry experience. Tasks often include data preprocessing, model evaluation, and contributing to research or product development involving generative AI.

What are the key skills and qualifications needed to thrive as an entry level generative AI engineer?

To thrive as an Entry Level Generative AI Engineer, you need a solid background in computer science, mathematics, and machine learning fundamentals, typically supported by a relevant degree or coursework. Familiarity with Python, deep learning frameworks like TensorFlow or PyTorch, and version control systems such as Git is important, along with any foundational certifications in AI or data science. Strong problem-solving ability, curiosity, and effective teamwork skills will help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and improving generative AI models in a rapidly evolving technical landscape.

What are common challenges faced by entry level generative AI engineers, and how can they be addressed?

Entry level Generative AI Engineers often encounter challenges such as mastering complex machine learning frameworks, understanding the nuances of training large models, and keeping up with rapidly evolving research. Collaborating closely with more experienced team members through code reviews and pair programming can accelerate learning. It's also helpful to engage in continuous education through online courses and participate in team discussions to stay updated on the latest advancements and best practices in the field.

What is the difference between Entry Level Generative Ai Engineer vs Data Scientist?

AspectEntry Level Generative Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic knowledge of machine learning and programmingBachelor's or higher in CS, Statistics, or related; knowledge of data analysis and modeling
Work EnvironmentTech companies, AI startups, research labs focusing on AI model developmentVarious industries including finance, healthcare, marketing; analyzing data to inform decisions
Employer & Industry UsagePrimarily in AI and tech sectors developing generative modelsAcross multiple sectors using data to solve business problems

While both roles require a background in data and programming, Entry Level Generative Ai Engineers focus on developing AI models like generative adversarial networks, whereas Data Scientists analyze data to generate insights. The former is more specialized in AI model creation, while the latter covers broader data analysis tasks.

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

The most popular types of Generative Ai Engineer jobs in Raleigh, NC are:

What are popular job titles related to Entry Level Generative Ai Engineer jobs in Raleigh, NC?

For Entry Level Generative Ai Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Entry Level Generative Ai Engineer jobs in Raleigh, NC look for?

The top searched job categories for Entry Level Generative Ai Engineer jobs in Raleigh, NC are:

Infographic showing various Entry Level Generative Ai Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $67,425 per year, or $32.4 per hour.

Senior Data Scientist II

LexisNexis

Raleigh, NC • On-site, Remote

$115K - $192K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

189th of 492 rated business services


Job description

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role.

About our Team:

LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case.

About the Role:

We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI-driven product capabilities within the legal domain.

This role focuses on defining what to build and why—leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.

Responsibilities:

  • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).

  • Define agentic workflows and reasoning strategies for multi-step legal tasks.

  • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).

  • Analyze large-scale legal datasets to extract insights and improve model performance.

  • Establish best practices for model evaluation, validation, and benchmarking.

  • Translate experimental results into clear product recommendations and business impact.

  • Collaborate with product, legal experts, and engineers to align solutions with user needs.

  • Mentor team members and provide technical leadership in data science and AI.

Requirements:

  • Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).

  • Strong experience in machine learning, NLP, and LLM-based modeling.

  • Strong experience designing and running experiments, including model evaluation and iteration.

  • Strong coding skills.

  • Experience with generative AI techniques (e.g., prompt engineering, RAG).

  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.

  • Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

  • Proficiency in Python and data analysis tools.

  • Strong foundation in statistics, modeling, and large-scale text processing.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

  • Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits

  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

#AIFluency

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.

If performed in Colorado, the base pay range is $104,900 - $174,700.If performed in Illinois, the base pay range is $110,100 - $183,500.If performed in Chicago, IL, the base pay range is $115,400 - $192,200.If performed in Maryland, the base pay range is $110,100 - $183,500.If performed in Ohio, the base pay range is $99,700 - $166,000.

This job is eligible for an annual incentive bonus.

Application deadline is 05/29/2026.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.


What LexisNexis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom