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

Pwc

ERP AI Engineer - Manager

Raleigh, NC

$99K - $232K/yr

... and prompt engineering - Building scalable, cloud-native microservices and containerized ... AI solution designs - Contributing to business development and proposal writing - Cloud ...

Pwc

AI Solutions Engineering Delivery Lead

Raleigh, NC · On-site

$99K - $131K/yr

The Opportunity : The AI Solutions Engineering Delivery Lead will oversee multiple ... and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or ...

Bitovi

AI Automation Engineer V

Durham, NC · Remote

$126K - $244K/yr

Create reusable automation frameworks, workflow templates, prompt patterns, and AI agent ... Mentor engineers and implementation partners while promoting best practices for AI automation ...

Bitovi

AI Automation Engineer V

Durham, NC · On-site +1

$126K - $244K/yr

... prompt patterns, and AI agent accelerators that increase consistency and reuse • Implement ... engineering What You'll Need To Be Successful • Bachelor's degree in computer science ...

FHR

M724-UiPath Developer 65886

Raleigh, NC · On-site

Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques within UiPath ecosystems. Ensure responsible AI practices including transparency, auditability ...

SAS

Sr Software Developer- AI & Automation Solutions

Cary, NC · On-site +1

$51 - $67.25/hr

Experience designing, developing, or supporting AI-enabled solutions, including prompt engineering, prompt lifecycle management, AI governance, model utilization optimization, and cost management ...

SAS

Sr Software Developer- AI & Automation Solutions

Cary, NC · On-site +1

$51 - $67.25/hr

Experience designing, developing, or supporting AI-enabled solutions, including prompt engineering, prompt lifecycle management, AI governance, model utilization optimization, and cost management ...

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Ai Prompt Engineer information

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How much do ai prompt engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for ai prompt engineer in Raleigh, NC is $52.13, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $60.53 per hour, depending on experience, location, and employer.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn how to craft effective prompts through practice and understanding of model behavior. Relevant certifications or courses in AI and data science can also enhance your qualifications.

Is AI prompt engineer still in demand?

AI prompt engineers are currently in high demand as organizations seek to optimize interactions with AI language models. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with demand expected to grow as AI adoption expands across industries.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Compensation may also include benefits such as bonuses and stock options.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

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:
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What job categories do people searching Ai Prompt Engineer jobs in Raleigh, NC look for? The top searched job categories for Ai Prompt Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Prompt Engineer jobs? Cities near Raleigh, NC with the most Ai Prompt Engineer job openings:
Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 5% Part Time, and 21% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $108,438 per year, or $52.1 per hour.

Staff AI Engineer

Western Governors University

Raleigh, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

80th of 617 rated colleges and universities

Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Technical 412

Job Description

As a Staff AI Engineer, you will serve as a technical leader and force multiplier within the AI Engineering Enablement team. You will define how AI systems are architected, deployed, and scaled across the organization. Operating at the intersection of deep technical expertise and organizational leadership, you will shape platform strategy, influence roadmaps, and elevate engineering capabilities across multiple teams.
What You'll Do
  • Define and own AI engineering architecture standards, design patterns, and platform conventions for LLM-based systems
  • Lead complex, cross-functional AI initiatives from inception through delivery, aligning engineering, product, data science, and research stakeholders
  • Drive build-vs-buy and vendor evaluation decisions for AI frameworks, models, and infrastructure
  • Design and scale internal AI platforms including shared tooling, reusable components, prompt libraries, and evaluation infrastructure
  • Establish and mature LLMOps practices including governance, cost management, observability, and safe deployment standards
  • Lead AI safety initiatives including red-teaming, adversarial testing, and responsible AI policy development
  • Mentor and develop Senior and II-level engineers through coaching, design reviews, and technical leadership
What You'll Bring
  • Expert-level, production-proven experience across the AI engineering stack including LLM APIs, agentic systems, RAG pipelines, evaluation frameworks, and LLMOps
  • Demonstrated ability to define and drive architectural patterns and engineering standards at team or organizational scale
  • Deep expertise in agentic system design including multi-agent architectures, state management, and reliability engineering for non-deterministic systems
  • Strong platform engineering experience designing shared infrastructure, reusable tooling, and developer-facing systems
  • Advanced knowledge of LLM fine-tuning, alignment techniques, and evaluation methodologies including safety and bias assessment
  • Experience leading vendor evaluations and technical due diligence for AI frameworks and infrastructure
  • Strong proficiency in Python and software engineering fundamentals with a focus on quality, testing, and reliability standards
  • Bachelor's Degree in Computer Science, Software Engineering, Data Science, Machine Learning, Math, or a related field. Master's Degree strongly preferred.
  • 7+ years of experience in software engineering, data science, or machine learning
  • 5+ years of hands-on experience building and deploying LLM-based or AI systems in production at scale
  • Demonstrated experience setting architectural direction across teams or organizations
  • Experience leading complex AI projects across multiple teams or functional areas
  • Proven mentorship of Senior and/or II-level engineers
  • Experience designing and operating shared AI platforms or internal AI infrastructure
  • Experience owning LLMOps or MLOps practices including governance, rollout strategy, and production monitoring
  • Experience with AWS cloud architectures including scalable inference, data pipelines, and cost optimization
  • Hands-on experience with fine-tuning, PEFT, and model evaluation in production environments
Bonus Points
  • Master's Degree or PhD in Computer Science, AI/ML, or a related field
  • Experience with Databricks and related certifications
  • AWS certifications such as AWS Certified Machine Learning - Specialty
  • Experience with open-source model ecosystems and self-hosted inference infrastructure
  • Experience in EdTech, personalized learning, or student-facing AI platforms
  • Published research, conference presentations, or open-source contributions in AI/ML
  • Experience with enterprise AI governance, compliance frameworks, or regulatory requirements
Experience in Lieu of Education
Equivalent relevant experience performing the essential functions of this job may substitute for graduate education degree preferences or requirements.
What to Expect
At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
  • Introductory call
  • Hiring manager interview
  • Technical interview
  • Final panel interview
Work Location
This is a full-time, in-office position requiring five days per week in our Raleigh, NC office, designed to foster the collaboration and connection that fuel our best work.
Visa Sponsorship
While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Travel Requirement
This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

#LI-AW2

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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