Sr. AI Engineer

Peter Millar LLC; Durham (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

Peter Millar LLC in North Carolina seeks a Senior AI/ML Engineer to advance internal AI capabilities. You will build, deploy, monitor, and continuously improve production AI features using Microsoft Foundry (Azure AI Foundry) and One Lake data.

Collaborate with data engineering, mentor junior engineers, and implement MLOps, CI/CD, and prompt engineering with a focus on search, personalization, content generation, and copilots.

Qualifications

• 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 preferred.
• Experience with MCP, RAG, and LLM integration; strong prompt-engineering skills.

Responsibilities

• Produce and deploy AI capabilities; implement features like search, personalization, content generation, and internal copilots.
• Implement LLM and RAG solutions grounded in governed One Lake data using MCP.
• Develop and tune prompts, retrieval strategies, and agent workflows via Foundry components.
• Establish MLOps foundations: deployment, monitoring, evaluation, and cost management for AI projects.
• Implement CI/CD for AI artifacts, versioning, and automated evaluation.
• Partner with data engineering to keep Fabric/One Lake data AI-ready.

Skills

Microsoft Foundry

Azure AI Foundry

MCP

RAG

LLM

Prompt engineering

Python

MLOps

CI/CD

Monitoring

Evaluation

Education

Bachelor's or Master’s in Computer Science / ML

Azure AI certifications

Tools

Model catalog

Foundry Agent Service

Azure AI services

Fabric & One Lake

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