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

ClinDCast, LLC

Senior AI Developer

Raleigh, NC · On-site

$118K - $158K/yr

NCDIT-T Web Systems is seeking a Senior AI Enablement Engineer with strong experience in C#, Vue.js ... Guide development teams on AI integration, prompt engineering, API design, and secure AI adoption

Pwc

AI Engineer

Raleigh, NC

$50K - $112K/yr

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Sproutai

AI Builder - Product Analyst

Raleigh, NC · On-site

$80 - $100/hr

You'll spend your days prompt engineering, building with AI tools, and learning how AI products come to life in a fast-paced venture environment. This role is ideal for someone who may not be a ...

Exclusive Jets

AI Software Developer

Raleigh, NC · On-site

$100 - $125/hr

... 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 ...

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 ...

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All JobsAi Prompt Engineer JobsDirector Ai Prompt Engineer JobsDirector Ai Prompt Engineer Jobs in Raleigh, NC

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 Sep 8, 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 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $189,273 per year, or $91 per hour.

NCDOT - AI Enablement Engineer

Durham, NC • On-site

Expert Technology Services
IT Services • 11 - 50 employees
Learn more about Expert Technology Servicesexternal

Contractor

Re-posted 17 days ago

Job description

NCDIT-T Web Systems is seeking a hybrid-skilled AI Platform Architect & Enablement Engineer with deep experience in Azure OpenAI, Copilot Studio, and AI integration into enterprise applications.
 

  • The candidate will need to come on-site on the first day to collect equipment.

  • All candidates must be local to the Triangle region of North Carolina.

  • This position may require up to 3 days per week at a Triangle area office for return to the office in addition to various in-person responsibilities, including meetings.

 
NCDIT-T Web Systems is seeking a hybrid-skilled AI Platform Architect & Enablement Engineer with deep experience in Azure OpenAI, Copilot Studio, and AI integration into enterprise applications.  This role bridges infrastructure and AI enablement—supporting development teams in embedding AI into both new and existing applications, while ensuring scalable, secure, and policy-compliant Azure implementations.  This role requires a proactive engineer who can contribute to documentation, knowledge sharing, and enforcement of cloud governance policies in a large public-sector environment.  Ideal candidates will have a strong development background and specialize in AI platform enablement.

 
Key Responsibilities
  • Lead the design and implementation of Copilot Studio and Azure OpenAI solutions for both internal and public-facing applications.
  • Guide development teams on embedding AI into existing and new applications, including prompt engineering, API integration, and data flow design.
  • Architect and scale AI platforms to support high-concurrency, low-latency workloads, including peak load planning and autoscaling strategies.
  • Build and maintain secure, scalable Azure environments using Infrastructure-as-Code (Bicep/Terraform) and CI/CD pipelines.
  • Collaborate with DevOps and SRE teams to ensure observability, governance, and compliance across AI workloads.
  • Serve as a technical advisor and mentor to development teams, helping them adopt AI responsibly and effectively.
  Required/Desired Skills   SkillRequired /DesiredAmountof ExperienceDirect experience integrating Azure OpenAI, Copilot Studio and other AI into Enterprise applications or services, including security configuration.Desired2YearsExperience guiding application teams on AI integration strategies.Required2YearsExperience with scaling AI workloads.Desired1YearsExperience working with app teams to migrate, modernize, or re-platform workloads in Azure, including supporting legacy integration.Desired2YearsExperience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools.Desired2Years