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Llm Jobs in Raleigh, NC (NOW HIRING)

NTT DATA, Inc.

Senior AI/LLM Engineer - Remote

Raleigh, NC · On-site

$53.75 - $69.25/hr

Senior AI/LLM Engineer - Generative AI Solutions Experience: 6-10+ Years (Minimum 3+ Years in AI/Generative AI) Location: Remote - Need to support EST timezone. Project Overview We are seeking an ...

Tata Consultancy Service Limited

Technical Lead

Cary, NC · On-site

$110K - $130K/yr

Must Have Technical/Functional Skills • 13+ years of experience with IT • Build and productionize cloud native backend services and AI/LLM inference pipelines. • • Design and develop Python ...

Deloitte

AI Engineer Consultant

Raleigh, NC · Hybrid

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry. * Deliver governed datasets and feature ...

Green Irony

Senior MuleSoft Engineer

Raleigh, NC · On-site +1

$119K - $157K/yr

You reach for your AI-enabled IDE, LLM-based assistants, and AI-powered static analysis before anything else - not as a shortcut, but because better tools produce better outcomes. You don't write ...

TEKsystems c/o Allegis Group

Sr AI/ML Engineer

Durham, NC · On-site

$180K - $220K/yr

Azure AI production experience with Azure AI services / Azure OpenAI and LLM/RAG architectures. MCP, RAG & LLMs demonstrated experience with the Model Context Protocol (MCP), retrieval-augmented ...

TEKsystems

Sr AI/ML Engineer

Durham, NC · Hybrid

$180K - $220K/yr

Skills Foundry, Azure OpenAI, LLM, RAG, Model Context Protocol (MCP), MLOps, Azure AI Services, microsoft fabric, python, CI/CD, OneLake Top Skills Details Foundry,Azure OpenAI,LLM,RAG,Model Context ...

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Llm information

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$83.1K

$139.4K

$177.8K

How much do llm jobs pay per year?

As of Aug 16, 2026, the average yearly pay for llm in Raleigh, NC is $139,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,100.00 and $153,900.00 per year, depending on experience, location, and employer.

What jobs can you do with a large language model?

A large language model (LLM) can be used in roles such as AI content developer, chatbot designer, data annotator, or AI researcher. These jobs often require skills in programming, natural language processing, and machine learning tools, and may involve tasks like training, fine-tuning, or deploying language models in various applications.

What are the key skills and qualifications needed to thrive as an LL.M. graduate?

To thrive as an LLM graduate, you need advanced knowledge of legal principles, strong research and analytical skills, and a prior law degree such as an LLB or JD. Familiarity with legal databases, research tools like Westlaw or LexisNexis, and sometimes bar admission or certification in specific jurisdictions is advantageous. Exceptional written and verbal communication, attention to detail, and cross-cultural competence are standout soft skills in this field. These abilities are crucial for interpreting complex legal issues, advising clients, and succeeding in global or specialized legal practice.

What is an LLM?

LLMs, or Large Language Models, are advanced artificial intelligence systems designed to understand and generate human-like text based on vast amounts of data. These models, such as OpenAI's GPT series, are trained on diverse datasets and can perform a range of tasks, including answering questions, writing content, translating languages, and more. LLMs work by predicting the next word in a sequence, allowing them to create coherent and contextually relevant responses. They are widely used in applications like chatbots, virtual assistants, and automated content generation.

What is the difference between Llm vs Paralegal?

AspectLlmParalegal
Required CredentialsLaw degree (JD or equivalent), possibly an LLM for specializationAssociate's degree or certificate in paralegal studies
Work EnvironmentLaw firms, corporate legal departments, academiaLaw firms, corporate legal departments, government agencies
Industry UsageLegal practice, academia, researchLegal support, case preparation, client communication

The main difference is that an Llm is an advanced law degree for specialization or academic purposes, while a paralegal provides legal support and case assistance without being licensed to practice law. Both roles work closely within legal environments, but the Llm is more focused on legal expertise and research, whereas paralegals handle administrative and preparatory tasks.

Which large language model is most in demand?

The most in-demand large language models for jobs like LLM development and deployment are OpenAI's GPT-4 and GPT-3, as well as Google's PaLM and Meta's LLaMA. Skills in fine-tuning, prompt engineering, and understanding these models are highly sought after in the AI industry.

What are some common challenges faced by professionals working with large language models and how can they be addressed?

Professionals working with large language models often encounter challenges such as managing computational resource demands, ensuring data privacy, and mitigating biases in model outputs. Collaboration with data engineers and IT teams is essential to optimize infrastructure and streamline model deployment. Staying updated on best practices and regulatory guidelines helps address ethical concerns and improve model performance. Continuous monitoring and iteration are key to maintaining accuracy and relevance in real-world applications.
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Infographic showing various Llm job openings in Raleigh, NC as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $139,408 per year, or $67 per hour.

Senior AI/LLM Engineer - Remote

NTT DATA, Inc.

Raleigh, NC • On-site

$53.75 - $69.25/hr

Other

Dental, Vision, Life, Retirement

Posted 4 days ago

NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

118th of 224 rated it services

Job description

Company Overview:
Req ID: 383751
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
NTT DATA's Client is currently seeking a Senior AI/LLM Engineer to join their team in Pittsburgh, Pennsylvania (US-PA), United States (US). REMOTE
Job Description - Senior AI/LLM Engineer (Generative AI Solutions)
Job Title: Senior AI/LLM Engineer - Generative AI Solutions
Experience: 6-10+ Years (Minimum 3+ Years in AI/Generative AI)
Location: Remote - Need to support EST timezone.
Project Overview
We are seeking an experienced Senior AI/LLM Engineer to design, develop, and deploy enterprise-grade Generative AI solutions that leverage Large Language Models (LLMs) to solve complex business challenges. The ideal candidate will have strong expertise in Python development, Retrieval-Augmented Generation (RAG), AI orchestration frameworks, and cloud-native AI architectures.
This role will work closely with product owners, solution architects, data engineers, and business stakeholders to build scalable, secure, and production-ready AI applications powered by OpenAI and other leading foundation models.
Key Responsibilities
AI Solution Design & Development
  • Design, develop, and deploy enterprise-scale Generative AI applications using modern LLM technologies.
  • Build production-grade backend services using Python and modern software engineering practices.
  • Develop scalable AI architectures utilizing OpenAI, Anthropic Claude, Gemini, Llama, or similar foundation models.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search capabilities.
  • Develop intelligent multi-agent AI systems capable of orchestrating complex business workflows.
AI Architecture & Integration
  • Design AI solution architectures that are scalable, secure, maintainable, and aligned with enterprise standards.
  • Integrate AI capabilities into existing enterprise applications, APIs, and business workflows.
  • Develop and consume REST APIs, microservices, and event-driven services for AI applications.
  • Implement AI orchestration frameworks such as LangChain and related agent frameworks.
Prompt Engineering & Model Optimization
  • Develop and optimize prompts for improved accuracy, reasoning, and business outcomes.
  • Evaluate LLM performance and implement techniques to improve response quality.
  • Establish AI governance, model evaluation, and responsible AI best practices.
  • Monitor AI application performance and continuously optimize latency, cost, and quality.
Cloud & Enterprise AI
  • Build cloud-native AI solutions using Azure or AWS AI services.
  • Implement Azure AI Search and vector search capabilities.
  • Design secure enterprise AI applications following cloud security and governance standards.
  • Collaborate with DevOps teams to deploy AI solutions using CI/CD pipelines.
  • Stakeholder Collaboration
  • Partner with business stakeholders to understand AI use cases and translate them into scalable technical solutions.
  • Present architecture decisions, solution approaches, and AI strategies to both technical and non-technical audiences.
  • Mentor junior engineers and contribute to AI engineering best practices across the organization.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
  • 6+ years of software engineering or machine learning engineering experience.
  • Minimum 3+ years of hands-on experience building Artificial Intelligence and Generative AI solutions.
  • 3 to 5 years of strong hands-on experience developing production applications using Python.
  • 1 to 3 years of experience building applications using OpenAI (preferred), Anthropic Claude, Gemini, Llama, or similar LLM platforms.
  • 3+ years of strong experience implementing Retrieval-Augmented Generation (RAG) architectures.
  • 1 to 3 years of experience integrating vector databases and semantic search solutions.
  • 1 to 3 years of strong understanding of LangChain and AI orchestration frameworks.
  • Experience designing multi-agent AI architectures.
  • Strong knowledge of prompt engineering, model evaluation, AI governance, and Responsible AI principles.
  • Experience building REST APIs, microservices, and event-driven architectures.
  • Experience with Azure or AWS cloud platforms.
  • Strong understanding of scalable enterprise application architecture.
  • Excellent analytical, problem-solving, and communication skills.
Required Technical Skills
  • Python
  • JavaScript
  • Generative AI
  • Large Language Models (LLMs)
  • OpenAI (Preferred)
  • Retrieval-Augmented Generation (RAG)
  • Multi-Agent AI Orchestration
  • LangChain
  • Langfuse
  • AI Solution Architecture
  • Azure AI Search
  • Vector Databases
  • Prompt Engineering
  • REST APIs
  • Microservices
  • Event-Driven Architecture
  • Azure or AWS Cloud Services
Preferred Qualifications
  • Experience with LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar AI agent frameworks.
  • Experience with vector databases such as Pinecone, Weaviate, ChromaDB, Qdrant, Milvus, or Azure AI Search.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Knowledge of CI/CD pipelines and MLOps practices.
  • Experience with AI observability and monitoring platforms.
  • Familiarity with enterprise security, compliance, and Responsible AI frameworks.
  • Experience working in Agile/Scrum environments.
Nice to Have
  • Experience developing enterprise copilots or AI assistants.
  • Experience integrating AI into enterprise SaaS platforms.
  • Knowledge of AI governance, security, and compliance standards.
  • Experience optimizing LLM inference performance and AI operational costs.

About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $55 to $62/hour. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967

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