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

Sr. AI Engineer

Durham, NC · On-site

$140 - $190/hr

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 ...

Senior AI Engineer - SFL Scientific

Raleigh, NC · On-site

$101K - $139K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

... junior and mid-level engineers through architecture reviews, code reviews, and technical coaching -Establish engineering best practices around testing, observability, security, scalability, and AI ...

... junior and mid-level engineers through architecture reviews, code reviews, and technical coaching -Establish engineering best practices around testing, observability, security, scalability, and AI ...

Software Engineer III

Durham, NC · On-site

$55.50 - $74.75/hr

AI-assisted feature implementation * Automated testing and quality engineering * Cloud deployment ... Mentor junior engineers and contribute to a culture of learning and technical excellence. * Drive ...

... junior staff while upholding remarkable standards of quality and innovation in deliverables ... in AI engineering or related field What Sets You Apart - Master's Degree in Computer Engineering ...

Responsibilities - Mentor junior engineers and foster their growth - Maintain security and scalability of AI-powered solutions - Collaborate with cross-functional teams to achieve project goals ...

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

... AI-enabled products and platforms. Working at the intersection of engineering, data science ... Mentors junior analysts and reviews testing deliverables for quality and consistency. * Supports ...

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

... AI-enabled products and platforms. Working at the intersection of engineering, data science ... Mentors junior analysts and reviews testing deliverables for quality and consistency. * Supports ...

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

... AI-enabled products and platforms. Working at the intersection of engineering, data science ... Mentors junior analysts and reviews testing deliverables for quality and consistency. * Supports ...

... fast junior engineer you are accountable for, never an oracle. • Integrate third-party APIs and external systems (vendor data feeds, payments, messaging, mapping, and LLM/AI services) into ...

AI Software Developer

Raleigh, NC · On-site

$100 - $130/hr

Plan and decompose work for AI coding agents, then review, correct, and integrate what they produce -- treating the agent as a fast junior engineer you are accountable for, never an oracle.

Lead Forward Deployed Engineer, Palantir

Raleigh, NC · On-site

$99K - $131K/yr

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn ... Mentor and develop junior FDEs GenAI Solution Development * Architect and oversee delivery of LLM ...

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Junior Ai Engineer information

See Raleigh, NC salary details

$32.6K

$69.8K

$106.4K

How much do junior ai engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for junior ai engineer in Raleigh, NC is $69,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $77,800.00 per year, depending on experience, location, and employer.

What is a Junior AI Engineer?

A Junior AI Engineer is an entry-level professional who assists in the development and implementation of artificial intelligence models and systems. They typically work under the supervision of more experienced engineers to build, test, and deploy machine learning models, process data, and write code. Junior AI Engineers often collaborate with data scientists and software developers to integrate AI solutions into products or services. Their role is ideal for those with foundational knowledge in programming, mathematics, and machine learning concepts, looking to gain hands-on experience in the AI field.

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

To thrive as a Junior AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often supported by a relevant degree or coursework. Familiarity with tools such as TensorFlow, PyTorch, and version control systems like Git is typically required, along with knowledge of cloud platforms like AWS or Azure. Strong problem-solving skills, willingness to learn, and effective teamwork and communication abilities help you stand out in this collaborative, fast-evolving field. These skills ensure you can contribute to AI projects efficiently, adapt to new technologies, and work well within multidisciplinary teams.

What are some typical challenges a Junior AI Engineer might face during their first year on the job?

As a Junior AI Engineer, you may encounter challenges such as understanding complex codebases, adapting to rapidly evolving AI frameworks, and balancing the need for innovation with production-level code quality. Collaborating with data scientists, senior engineers, and product managers to align on project goals and deliverables can also be a learning curve. Additionally, managing large datasets and debugging machine learning models require strong problem-solving skills and attention to detail, but these challenges offer excellent opportunities for growth and mentorship within your team.

What is the difference between Junior Ai Engineer vs Data Scientist?

AspectJunior Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; advanced certifications
Work EnvironmentDevelopment, coding, model implementationData analysis, modeling, insights generation
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions

Junior Ai Engineers focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze data to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Junior Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

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

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

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

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

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

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

Infographic showing various Junior Ai Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $69,791 per year, or $33.6 per hour.

$140 - $190/hr

Other

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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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