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Prompt Engineering Jobs in Dallas, NC (NOW HIRING)

WinMax Systems Corporation

Lead AI Engineer

Charlotte, NC · On-site

$80 - $85/hr

LLM orchestration and prompt engineering * Agentic or workflow-based AI systems * Proficiency in one or more programming languages such as Python, Java, or similar, with production-grade coding ...

Lorven Technologies

Sr Software Engineer

Charlotte, NC · On-site

$119K - $157K/yr

Prompt engineering both prod prompts and coding agent prompts Devin, Claude, Copilot, Codex * OpenTelemetry tracing structured log discipline every service emits the same trace shape * OpenShift ...

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All JobsPrompt Engineering JobsPrompt Engineering Jobs in Dallas, NC

Prompt Engineering information

See Dallas, NC salary details

$28.3K

$54.9K

$83.2K

How much do prompt engineering jobs pay per year?

As of Aug 24, 2026, the average yearly pay for prompt engineering in Dallas, NC is $54,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $62,800.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

What are popular job titles related to Prompt Engineering jobs in Dallas, NC?

For Prompt Engineering jobs in Dallas, NC, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Dallas, NC look for?

The top searched job categories for Prompt Engineering jobs in Dallas, NC are:

What cities near Dallas, NC are hiring for Prompt Engineering jobs?

Cities near Dallas, NC with the most Prompt Engineering job openings:

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Dallas, NC as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $54,895 per year, or $26.4 per hour.

Microsoft Copilot Studio & Azure AI Foundry Engineer

Neshent Technologies

Tega Cay, SC • On-site

$48 - $59.50/hr

Full-time

Posted 10 days ago

Job description

Job Summary

We are seeking an experienced Microsoft Copilot Studio & Azure AI Foundry Engineer to design, develop, and deploy enterprise-grade AI agents and intelligent automation solutions. The ideal candidate will have hands-on expertise with Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, and the Microsoft Power Platform to build secure, scalable, and Responsible AI solutions that integrate seamlessly with enterprise applications.

Required Skills & Qualifications
  • 5+ years of experience in Microsoft cloud technologies, AI, or enterprise application development.
  • Hands-on experience building AI agents using Microsoft Copilot Studio, including Topics, Actions, Generative Answers, Agent Flows, and orchestration patterns.
  • Strong experience with Azure AI Foundry, including foundation model selection, prompt engineering, grounding techniques, model evaluation, and deployment.
  • Experience integrating Azure OpenAI, Azure AI Search, and Azure AI Content Safety services.
  • Strong understanding of Retrieval-Augmented Generation (RAG), contextual memory, prompt engineering, and agent orchestration.
  • Experience developing workflow automation using Power Automate, Dataverse, and Microsoft 365 connectors.
  • Experience integrating enterprise applications using Microsoft Graph API, REST APIs, Azure Functions, and Azure API Management.
  • Knowledge of CI/CD, environment management, solution packaging, and application lifecycle management.
  • Strong understanding of AI security, governance, Responsible AI principles, DLP policies, and enterprise compliance standards.
  • Excellent analytical, communication, and stakeholder management skills.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Preferred Skills
  • Experience working in BFSI or other highly regulated industries.
  • Knowledge of Microsoft Power Platform governance and administration.
  • Experience with Azure DevOps, GitHub Actions, or other CI/CD platforms.
  • Microsoft Azure AI, Power Platform, or Copilot Studio certifications.
Roles and Responsibilities
  • Design, develop, and deploy enterprise AI agents using Microsoft Copilot Studio, leveraging Topics, Actions, Generative Answers, and advanced agent orchestration capabilities.
  • Build intelligent multi-step agent workflows using Agent Flows, contextual memory, decision logic, and goal-driven automation.
  • Utilize Azure AI Foundry to evaluate, configure, operationalize, and optimize foundation models through prompt engineering, grounding, and evaluation pipelines.
  • Integrate Copilot Studio with Azure AI services including Azure OpenAI, Azure AI Search, and Azure AI Content Safety to deliver accurate, secure, and Responsible AI experiences.
  • Develop backend automation and business workflows using Power Automate, Dataverse, Microsoft 365 connectors, and Power Platform components.
  • Implement secure integrations with Microsoft Graph, REST APIs, Azure Functions, and Azure API Management.
  • Support enterprise deployments by managing environments, solution packaging, release management, and CI/CD pipelines.
  • Implement governance, security, auditability, data protection, DLP policies, and Responsible AI controls aligned with enterprise and regulatory requirements.
  • Design and execute testing, evaluation, performance tuning, and optimization strategies using Azure AI Foundry evaluation metrics and Copilot Studio testing capabilities.
  • Collaborate with business stakeholders, architects, security teams, and product owners throughout solution design, implementation, and deployment.
  • Produce and maintain architecture documentation, technical designs, operational runbooks, governance standards, and implementation best practices.

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