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Ai Jobs in Raleigh, NC (NOW HIRING)

Sr. AI Engineer

Durham, NC · On-site

$150 - $200/hr

The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal capability by combining ML engineering, GenAI integration, and prompt engineering into one senior role.

AI is becoming more pervasive, more powerful, and more accessible. With these new opportunities come increased risks. We work with leading organizations to ensure AI is designed, built, and deployed ...

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team ...

As AI becomes embedded in every aspect of institutional life, OIT's AI-related work is central to Duke's commitment to preparing students, faculty, and staff for success amid technological ...

AI Solutions Architect

Raleigh, NC · On-site

$125 - $150/hr

AI Solutions Architect Role Overview Lumexa Imaging is seeking an experienced AI Solutions Architect to lead the design and delivery of AI-driven solutions across business and operational functions.

As AI becomes embedded in every aspect of institutional life, OIT's AI-related work is central to Duke's commitment to preparing students, faculty, and staff for success amid technological ...

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

AI Solutions Architect Role Overview Lumexa Imaging is seeking an experienced AI Solutions Architect to lead the design and delivery of AI-driven solutions across business and operational functions.

Google AI Architect/AI and Engineering Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll ...

AI Engineer I

Durham, NC · On-site

$80 - $100/hr

As an AI Engineer I, you will build, test, and ship AI agents and workflows on Microsoft Copilot Studio and Azure AI Foundry, working from specifications and architecture set by senior engineers.

On that team, you'll lead our AI platform and evaluation in partnership with our AI leadership group. Responsibilities: * Partner with product teams to identify, test, and de-risk new AI capabilities ...

We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of ...

We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of ...

We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of ...

On that team, you'll lead our AI platform and evaluation in partnership with our AI leadership group. Responsibilities: * Partner with product teams to identify, test, and de-risk new AI capabilities ...

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

We are seeking an AI Solutions Architect to lead the design and delivery of AI-powered solutions that transform how our internal teams work. In this role, you will partner with business functions ...

As an AI Engineer I, you will build, test, and ship AI agents and workflows on Microsoft Copilot Studio and Azure AI Foundry, working from specifications and architecture set by senior engineers.

Job#: 3045838 AI Solutions Architect Location: Raleigh, North Carolina (Remote) Role Overview We are seeking an experienced AI Solutions Architect to lead the design and delivery of AI-driven ...

Showing results 41-60

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See Raleigh, NC salary details

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How much do ai jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for ai in Raleigh, NC is $59.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $66.35 per hour, depending on experience, location, and employer.

What is an AI?

An AI job involves working with artificial intelligence technologies to develop, implement, and optimize machine learning models, algorithms, and automation systems. Professionals in this field may work as AI engineers, researchers, data scientists, or machine learning specialists. Responsibilities often include data analysis, model training, natural language processing, and computer vision tasks. AI jobs exist in various industries, including healthcare, finance, robotics, and cybersecurity.

What are the key skills and qualifications needed to thrive in the AI position, and why are they important?

To excel as an AI (Artificial Intelligence) Specialist, a solid background in computer science, mathematics, and machine learning principles, often with a relevant degree or higher, is essential. Experience with programming languages like Python or R, familiarity with machine learning frameworks (such as TensorFlow or PyTorch), and certifications in AI or data science are highly valued. Analytical thinking, creativity, and effective communication help professionals in this role translate complex data into actionable solutions and collaborate with cross-functional teams. Mastering these skills ensures innovative problem-solving and the successful development and deployment of AI solutions in real-world applications.

What are the typical career progression paths for professionals working in AI roles?

Career progression in AI typically starts with roles such as AI Researcher, Machine Learning Engineer, or Data Scientist, advancing to senior positions like AI Architect, Principal Data Scientist, or AI Project Lead as you gain expertise and experience. Many professionals also transition into specialized areas, including natural language processing, computer vision, or robotics, or move into management and leadership positions overseeing AI initiatives. Continuous learning and certification in emerging AI technologies help accelerate advancement. The dynamic nature of AI means there are abundant opportunities to shape your career path based on your interests and evolving industry needs.

How do I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects, as well as staying updated with industry tools like TensorFlow or PyTorch, can help build relevant skills for entry-level roles.

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

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

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

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

Infographic showing various Ai job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $124,147 per year, or $59.7 per hour.

$150 - $200/hr

Other

Posted 13 days ago


Job description

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Peter Millar was founded in 2001 with a single cashmere sweater offered in 24 colors. Based in Raleigh and Durham, North Carolina, the American lifestyle brand has grown to include luxury performance sportswear, seasonal resort and country club apparel, sophisticated classics, casually refined tailored clothing and sartorial accessories. We strive to capture timeless style upgraded with signature innovations, in designs that are in tune with modern life. We embrace working hard, being kind and doing right by our customers, aiming to set a higher standard for the apparel industry.

The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal capability by combining ML engineering, GenAI integration, and prompt engineering into one senior role. Using Microsoft Foundry, formerly Azure AI Foundry, and the broader Azure AI stack—grounded in governed Microsoft Fabric and One Lake data—this role builds, deploys, monitors, and continuously improves production AI features such as search, personalization, content generation, and internal copilots, reducing reliance on high-cost consulting. The role may initially be proven through consulting support and then internalized once the approach is established.

ESSENTIAL FUNCTIONS
  • Production of AI Capability Build and deploy production AI features; search, personalization, content generation, and internal copilots on Microsoft Foundry (Azure AI Foundry).
  • Implement LLM and RAG solutions grounded in governed One Lake data, using the Model Context Protocol (MCP) to connect models to data and tools.
  • Develop and tune prompts, retrieval strategies, and agent workflows via the Foundry Agent Service and model catalog.
  • MLOps Foundation Establish deployment, monitoring, evaluation, and cost-management practices around AI projects — recognizing AI products require continual refinement, not set-and-forget delivery.
  • Implement CI/CD for AI artifacts, prompt/model versioning, and automated evaluation.
  • Partner with data engineering to keep Fabric/One Lake data AI-ready.
Risk Management & Guardrails
  • Implement guardrails, prompt-injection defenses, output validation, and PII handling.
  • Ensure technical controls stay aligned with Richemont’s requirements and policies.
  • Document responsible-AI practices and model evaluations.
Collaboration & Mentorship
  • Work under AI Engineering Manager and partner with data science and data engineering on shared infrastructure.
  • Mentor junior engineers and contribute to the AI/ML specialization pathway.
TECHNICAL COMPETENCIES (REQUIRED)
  • Microsoft Foundry (Azure AI Foundry) hands‑on experience with the model catalog, Foundry Agent Service, evaluation, and deployment.
  • 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 generation, and prompt engineering.
  • Microsoft Fabric & One Lake experience grounding AI on governed Fabric/One Lake data (Lakehouse, Direct Lake, shortcuts).
  • MLOps CI/CD, monitoring, evaluation, and cost management; strong Python.
DESIRED EDUCATION AND EXPERIENCE
  • 5+ years in ML/AI engineering, with production generative-AI delivery (RAG, copilots, search, or personalization).
  • Hands‑on Microsoft Foundry / Azure AI Foundry and Azure AI experience strongly preferred.
  • Experience with MCP, RAG, and LLM integration; strong prompt‑engineering skills.
  • Familiarity with Microsoft Fabric / One Lake and governed data foundations.
  • Strong Python; solid MLOps and software‑engineering fundamentals.
  • Bachelor’s or Master’s in Computer Science, Machine Learning, or related field; relevant Azure AI certifications a plus.

If you like wild growth and working with happy, enthusiastic over‑achievers, you'll enjoy your career with us!

Peter Millar & G/FORE are equal opportunity employers.

In accordance with anti‑discrimination law, it is the purpose of this policy to effectuate these principles and mandates.

Both Peter Millar & G/FORE prohibit discrimination and harassment of any type and they afford equal employment opportunities to employees and applicants without regard to race, color, religion, gender, age, national origin, genetic information, marital status, disability status, protected veteran status, sexual orientation, or any other characteristic protected by law.

Both Peter Millar & G/FORE comply with applicable state, county and local laws governing non‑discrimination in employment.

Peter Millar was founded in 2001 with a single cashmere sweater. Through this initial garment, an ethos emerged to embody luxury, elegance and a dedication to superior craftsmanship. Today the brand has grown to include luxury performance sportswear, seasonal resort apparel, refined tailored clothing, and sartorial accessories. Each offering features the finest raw materials and fabric innovations while utilizing the world’s best yarn spinners, artisanal workshops and highly specialized factories. Peter Millar clothes and accessories are available online and in specialty retail stores and the most prestigious resorts. Our global distribution includes North America, Europe, Asia, Australia and the South Pacific. Peter Millar is headquartered in Raleigh, North Carolina with a distribution center in Durham, North Carolina.

Interested in exploring a different side of the brand family? G/FORE is where style meets personality -- take a look at current opportunities here

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