ZipRecruiter

Log In

1

Large Language Model Llm Jobs in Raleigh, NC (NOW HIRING)

First Citizens Bank

Senior AI Architect

Raleigh, NC

Proven ability to design and scale large-language-model (LLM) and generative AI systems. * Proficiency in Python, SQL, and modern data frameworks * Design AI and GenAI solutions using AWS-native ...

First Citizens Bank

Senior AI Architect

Raleigh, NC

Proven ability to design and scale large-language-model (LLM) and generative AI systems. * Proficiency in Python, SQL, and modern data frameworks * Design AI and GenAI solutions using AWS-native ...

Pyramid Consulting

AI/ML Engineer

Raleigh, NC

Build and fine-tune large language model (LLM)-based solutions (e.g., chatbots, recommendation systems, automation tools). * Implement end-to-end ML pipelines including data preprocessing, model ...

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136K - $252K/yr

You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain. * Experience with model serving, inference optimization, or AI ...

ARA

Senior AI Systems Engineer

Raleigh, NC · On-site

$92K - $126K/yr

Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain. * Experience with model serving, inference optimization, or AI ...

Deloitte

AI and Data Science Engineer III

Raleigh, NC · On-site +1

$111K - $133K/yr

Build and operationalize large language model-enabled capabilities, including copilots, knowledge ... LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with ...

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136K - $252K/yr

You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...

next page

Showing results 1-20

All JobsLarge Language Model Llm JobsLarge Language Model Llm Jobs in Raleigh, NC

Large Language Model Llm information

See Raleigh, NC salary details

$14

$23

$37

How much do large language model llm jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for large language model llm in Raleigh, NC is $23.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $28.27 per hour, depending on experience, location, and employer.

What are some common challenges faced by Large Language Model (LLM) Engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.

What profession makes $400,000 a year?

In the field of large language models and AI, senior roles such as AI research directors, machine learning engineers, and data science executives can earn $400,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. These positions often require advanced degrees, specialized knowledge in deep learning, and experience managing large projects or teams.

What is a Large Language Model (LLM) job?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

Which 3 jobs will survive AI?

Large Language Model (LLM) specialists, AI ethicists, and data privacy officers are likely to continue being in demand as AI advances. These roles require complex judgment, ethical considerations, and specialized expertise that are difficult to automate. Skills in critical thinking, domain knowledge, and regulatory understanding will remain valuable in these fields.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, strategic planning, and extensive experience, with compensation reflecting the complexity and impact of the work.

What are the key skills and qualifications needed to thrive in the Large Language Model Llm position, and why are they important?

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What jobs can you do with LLM?

Large Language Models (LLMs) are used in roles such as AI research scientist, NLP engineer, data scientist, and machine learning engineer. These jobs involve developing, fine-tuning, and deploying LLMs for applications like chatbots, content generation, and language understanding, often requiring skills in programming, data analysis, and deep learning frameworks.
What are the most commonly searched types of Large Language Model Llm jobs in Raleigh, NC? The most popular types of Large Language Model Llm jobs in Raleigh, NC are:
What are popular job titles related to Large Language Model Llm jobs in Raleigh, NC? For Large Language Model Llm jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Large Language Model Llm jobs in Raleigh, NC look for? The top searched job categories for Large Language Model Llm jobs in Raleigh, NC are:
Large Language Model Llm jobs near you
Infographic showing various Large Language Model Llm job openings in Raleigh, NC as of June 2026, with employment types broken down into 3% Internship, 84% Full Time, 10% Part Time, and 3% Contract. Highlights an 67% In-person, 10% Hybrid, and 23% Remote job distribution, with an average salary of $49,211 per year, or $23.7 per hour.
Senior AI Architect

Senior AI Architect

First Citizens Bank

Raleigh, NC

Full-time

Posted 5 days ago

First Citizens Bank rating

7.6

Company rating: 7.6 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

79th of 141 rated banks

Job description

Overview

The Senior AI Architect leads the design and implementation of cutting-edge AI platforms and data systems. This role combines strong hands-on engineering with strategic innovation to design, prototype, and deliver intelligent, data-driven solutions that power analytics, machine learning, and next-generation AI applications. This role collaborates closely with business and technology teams to turn ideas into working solutions, enabling faster insights, better decisions, and enterprise-wide innovation through data.


Responsibilities

Advanced AI Solutions & Engineering

  • Hands-on design and development of GenAI, LLM-based, and agentic AI solutions.
  • Architect and implement repeatable, enterprise AI patterns (e.g., RAG, agent orchestration, multimodal pipelines) with working reference implementations.
  • Build reusable AI components, templates, and accelerators to enable consistent adoption across teams.
  • Implement and optimize scalable, secure, and resilient AI pipelines, aligned with enterprise data and governance standards.
  • Lead PoC-to-production transitions, ensuring operational readiness, observability, and cost controls

AWS-Centric AI Architecture

  • Design AI and GenAI solutions using AWS-native services, including (but not limited to) Amazon Bedrock, SageMaker, Lambda, ECS/EKS, S3, DynamoDB, Aurora, OpenSearch, IAM, KMS, VPC, CloudWatch
  • Define cost, performance, and scalability guardrails for AI workloads on AWS.
  • Ensure architecture follows Well-Architected Framework principles.

Innovation & Applied AI

  • Lead initiatives to explore, validate, and scale emerging AI technologies.
  • Translate research and prototypes into production-ready capabilities.
  • Collaborate across teams to embed AI-driven insights and automation into business processes.
  • Evaluate and shape next-generation AI trends, including agentic systems and autonomous workflows.

Technology Leadership & Best Practices

  • Champion hands-on experimentation and rapid solution delivery while maintaining technical excellence.
  • Define and promote engineering standards that balance agility, scalability, and governance.
  • Collaborate with security, compliance, and governance partners to ensure responsible data and AI usage
  • Mentor engineers and architects in modern data and AI development practices.

Collaboration & Knowledge Sharing

  • Act as a trusted advisor for business and technology leaders on data-driven innovation.
  • Lead internal workshops and training sessions to accelerate AI adoption.
  • Represent the organization in external forums, conferences, and publications focused on data and AI innovation.

Qualifications

Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School Diploma or GED and 10 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms

Preferred Qualifications:

  • 10+ years of experience in enterprise data architecture or engineering with deep expertise in AI and cloud-native data platforms.
  • Proven ability to design and scale large-language-model (LLM) and generative AI systems.
  • Proficiency in Python, SQL, and modern data frameworks
  • Design AI and GenAI solutions using AWS-native services, including (but not limited to):Amazon Bedrock, SageMaker, Lambda, ECS/EKS
  • Experience with Snowflake Cortex AI, Snowflake Native AI capabilities
  • Strong background in distributed systems, and cloud architecture (AWS)
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains
  • Experience with agentic AI design patterns, including tool-use orchestration, autonomous workflow agents, or AI copilots.
  • Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
  • Demonstrated ability to rapidly prototype new AI concepts and transition successful PoCs into production-grade systems.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School Diploma or GED and 10 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms

Preferred Qualifications:

  • 10+ years of experience in enterprise data architecture or engineering with deep expertise in AI and cloud-native data platforms.
  • Proven ability to design and scale large-language-model (LLM) and generative AI systems.
  • Proficiency in Python, SQL, and modern data frameworks
  • Design AI and GenAI solutions using AWS-native services, including (but not limited to):Amazon Bedrock, SageMaker, Lambda, ECS/EKS
  • Experience with Snowflake Cortex AI, Snowflake Native AI capabilities
  • Strong background in distributed systems, and cloud architecture (AWS)
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains
  • Experience with agentic AI design patterns, including tool-use orchestration, autonomous workflow agents, or AI copilots.
  • Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
  • Demonstrated ability to rapidly prototype new AI concepts and transition successful PoCs into production-grade systems.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

What First Citizens Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply