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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 ...

TEKsystems

Principal Data Scientist

Cary, NC · On-site

$50 - $85/hr

Fine‑tune and evaluate small, medium, and large language models for domain‑specific reasoning ... LLM (LangChain) in a business Experience working with AWS, RAG, SageMaker, SQL Skills data science ...

RELX

Principal Machine Learning Engineer I

Raleigh, NC · On-site

$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 ...

RELX

Manager Data Engineering - Agentic AI

Raleigh, NC · On-site

Experience working with any large language model (LLM), preferably through API integration, to build, deploy, or enhance data-driven solutions. Demonstrated ability to leverage LLMs for developing ...

Wolters Kluwer

Senior Legal Counsel

Cary, NC · On-site

$129K - $175K/yr

... large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements. * Work closely ...

Wolters Kluwer

Senior Legal Counsel

Cary, NC

$129K - $175K/yr

... large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements. * Work closely ...

Wolters Kluwer

Senior Legal Counsel

Cary, NC · Hybrid

$129K - $175K/yr

... large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements. * Work closely ...

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

Large Language Model Llm information

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

As of Jul 15, 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 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, healthcare professionals, and skilled tradespeople are likely to continue thriving as AI automates routine tasks. These roles require complex decision-making, emotional intelligence, or manual skills that are difficult for AI to replicate fully. Continuous learning and adaptability remain important for job security in these fields.

What jobs can I 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, often requiring skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch.

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 pay 500,000 a year?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like top-tier surgeons, investment bankers, and successful entrepreneurs. These roles typically require extensive experience, advanced skills, and often involve leadership, risk management, or highly specialized expertise.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions 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 roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI systems.
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:
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Large Language Model Llm jobs near you
Senior AI Architect

Senior AI Architect

First Citizens Bank

Raleigh, NC

Full-time

Posted 9 days ago

First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

92nd of 149 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

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