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Director Ai Prompt Engineer Jobs in Raleigh, NC (NOW HIRING)

flyExclusive

AI Software Developer

Raleigh, NC · On-site

The role involves directing AI coding agents, designing and building machine-learning models, and ... engineer you are accountable for, never an oracle. • Integrate third-party APIs and external ...

Deloitte

AI Engineer Consultant

Raleigh, NC · Hybrid

If you require a reasonable accommodation to participate in the recruiting process, please direct ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

Western Governors University

Senior AI Engineer

Raleigh, NC · On-site

$161K - $249K/yr

Drive prompt engineering strategy for complex multi-turn and multi-agent interactions, including ... Mentor AI engineers and elevate team standards through design reviews, code reviews, and technical ...

EXCLUSIVE JETS LLC

AI Software Developer

Raleigh, NC

... engineer you are accountable for, never an oracle. * Integrate third-party APIs and external ... Direct and supervise AI coding agents to plan, implement, test, and ship production features end-to ...

Northern Base

AI Solution Lead

Cary, NC · On-site

... databases, prompt engineering, and context engineering ✔ Experience packaging, deploying, serving, and monitoring AI/ML models for real-time and batch inference ✔ Hands-on experience with ...

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Director Ai Prompt Engineer information

See Raleigh, NC salary details

$71K

$189.3K

$246.9K

How much do director ai prompt engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for director ai prompt engineer in Raleigh, NC is $189,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $245,900.00 per year, depending on experience, location, and employer.

What is a Director AI Prompt Engineer?

A Director AI Prompt Engineer is a senior leadership role responsible for overseeing teams that design, develop, and optimize prompts for AI language models. This position combines deep understanding of artificial intelligence, natural language processing, and strategic management to ensure that AI systems generate high-quality, accurate, and safe outputs. The director sets the vision for prompt engineering, collaborates with cross-functional teams, and ensures alignment with organizational goals. Their work is crucial for advancing AI capabilities and maintaining ethical standards in AI interactions.

What are the key skills and qualifications needed to thrive as a Director AI Prompt Engineer?

To thrive as a Director AI Prompt Engineer, you need deep expertise in AI/ML technologies, prompt engineering, natural language processing, and leadership experience, often backed by an advanced degree in a technical field. Familiarity with AI platforms (like OpenAI, Google Cloud AI), programming languages (such as Python), and workflow management tools is crucial, as are certifications in machine learning or data science. Outstanding communication, strategic thinking, and team leadership are essential soft skills to guide multidisciplinary teams and align AI solutions with business goals. These qualifications ensure the effective design, deployment, and management of AI systems that drive innovation and organizational success.

What are the primary challenges faced by a Director AI Prompt Engineer when leading prompt engineering teams?

A Director AI Prompt Engineer often navigates challenges such as aligning prompt engineering strategies with organizational goals, ensuring prompt quality and consistency across diverse projects, and keeping the team updated with advances in AI language models. Additionally, effective collaboration with data scientists, product managers, and engineering teams is crucial for integrating prompt solutions into products. Balancing technical leadership with mentoring and professional development for prompt engineers is also a key responsibility in this role.

What is the difference between Director Ai Prompt Engineer vs AI Content Strategist?

AspectDirector Ai Prompt EngineerAI Content Strategist
Required CredentialsExperience in AI, machine learning, prompt engineering, and related certificationsBackground in marketing, content creation, SEO, and digital strategy
Work EnvironmentTech companies, AI labs, or digital agencies focusing on AI developmentMarketing agencies, media firms, or corporate marketing departments
Employer & Industry UsagePrimarily in AI and tech industriesAcross marketing, advertising, and media sectors
Search & Comparison IntentUnderstanding roles in AI prompt engineeringComparing AI-driven content planning roles

The main difference is that a Director Ai Prompt Engineer focuses on designing and optimizing AI prompts for machine learning models, often requiring technical expertise in AI and programming. An AI Content Strategist concentrates on planning and managing content strategies using AI tools to enhance marketing efforts. Both roles involve AI but serve different functions within the industry.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, machine learning, and familiarity with AI tools, making it a growing field with strong job prospects.

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

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

What are popular job titles related to Director Ai Prompt Engineer jobs in Raleigh, NC?

For Director Ai Prompt Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Director Ai Prompt Engineer jobs in Raleigh, NC look for?

The top searched job categories for Director Ai Prompt Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Director Ai Prompt Engineer jobs?

Cities near Raleigh, NC with the most Director Ai Prompt Engineer job openings:

Director Ai Prompt Engineer jobs near you
Infographic showing various Director Ai Prompt 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 $189,273 per year, or $91 per hour.

Sr AI Engineer (RAG Specialist with Strong Python Skills)

RELX

Raleigh, NC • Hybrid

$104K - $174K/yr

Full-time

Re-posted 2 days ago

Job description

*** PLEASE NOTE: This role is on-site/hybrid in Raleigh, NC ***

Are you passionate about building next-generation AI solutions that transform how professionals work with information and insights?

Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies?

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

We are seeking a highly skilled AI Engineer with expertise in Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting-edge AI solutions.

Key Responsibilities:

  • Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG).

  • Strong prompt engineering and prompt testing skills to derive the desired outcome

  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.

  • Optimize and fine-tune RAG models for performance and scalability cost saving.

  • Conduct research and stay up-to-date with the latest advancements in AI and machine learning.

  • Design, build, and deploy agentic AI systems capable of autonomous planning, tool use, and multi-step task execution using frameworks such as LangGraph, AutoGen, or CrewAI.

  • Architect and deploy AI/ML and RAG solutions on AWS, leveraging services such as SageMaker, Bedrock, Lambda, and S3.

  • Write clean, efficient, and maintainable code in Python.

  • Perform data preprocessing, feature engineering, and model evaluation.

  • Troubleshoot and debug AI models and applications in a mono-repo settings.

  • Document AI models, processes, and workflows.

Qualifications:

  • Proven experience as an AI Engineer or similar role.

  • Strong proficiency in Python programming.

  • In-depth knowledge of Retrieval-Augmented Generation (RAG) models.

  • Proven experience in prompt engineering

  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

  • Proficiency in data preprocessing and feature engineering techniques.

  • Hands-on experience building agentic AI applications, including tool/function calling, multi-agent orchestration, and autonomous workflow design.

  • Demonstrated experience with AWS cloud services (e.g., SageMaker, Bedrock, Lambda, EC2, S3) for developing and deploying AI/ML solutions.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication and teamwork abilities.

Preferred Skills:

  • Experience with cloud platforms, particularly AWS (e.g., SageMaker, Bedrock, Lambda, ECS/EKS, S3); familiarity with Azure or Google Cloud is a plus.

  • Experience with agentic AI frameworks and tooling (e.g., LangGraph, LangChain, AutoGen, CrewAI, AWS Bedrock Agents, Model Context Protocol).

  • AWS certification (e.g., AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect).

  • Knowledge of natural language processing (NLP) techniques.

  • Familiarity with version control systems (e.g., Git).

  • Experience with deploying AI models in production environments.

Work in a Way That Works for You

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

Working Pattern

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.

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. #AIFluent

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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.

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