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Senior Azure Ai Engineer Jobs (NOW HIRING)

Peter Millar

NC · On-site

$98K - $135K/yr

The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal ... Using Microsoft Foundry, formerly Azure AI Foundry, and the broader Azure AI stack-grounded in ...

Advanced Medical Pricing Solutions

Senior AI Engineer

$107K - $146K/yr

We are hiring a Senior AI Engineer to design, build, and operate AI-powered automation across AMPS ... We work primarily with managed model services (for example, Azure AI) rather than training our own ...

BravoTech

Sr AI Developer

Irving, TX · On-site

This role is ideal for a hands-on cloud AI engineer with deep expertise designing, deploying ... Microsoft Azure AI & Cloud Services * Azure OpenAI Service * Azure Machine Learning (Azure ML)

Anasazi Medical Payment

Senior AI Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

We are hiring a Senior AI Engineer to design, build, and operate AI-powered automation across AMPS ... We work primarily with managed model services (for example, Azure AI) rather than training our own ...

Peter Millar LLC

Sr. AI Engineer

Durham, NC · On-site

$140 - $190/hr

The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal ... Using Microsoft Foundry, formerly Azure AI Foundry, and the broader Azure AI stack--grounded in ...

Peter Millar

$140 - $200/hr

The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal ... Using Microsoft Foundry, formerly Azure AI Foundry, and the broader Azure AI stack - grounded in ...

Hunter Super Techs - TurnPoint

AI Engineer I

Durham, NC · On-site

$70 - $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.

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience programming in languages such as Python, PySpark, or C# * Strong foundational ... Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ...

1 point system

Azure AI Architect with M365

Moline, IL · On-site

$57.25 - $74.75/hr

This senior role requires deep expertise in AI/ML architectures , Azure cloud services , M365 ... Implement prompt engineering, fine-tuning , and retrieval mechanisms for improved AI performance

Programmers.io

Azure AI/ML Engineer

Bellevue, WA · On-site

$62 - $77/hr

AI,C#,ASP.NET 4.5,Java,LLM,Python,Vector,Semantic Kernel, AI Foundry ,LLMs (Azure OpenAI, OpenAI, Anthropic,MicroServices,Azure DevOps,Docker,Kubernetes Role Descriptions: 8 years of Strong ...

Victra

AI Engineer I

Durham, NC · On-site

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.

Reply

Senior AI Engineer

Chicago, IL

$140K - $180K/yr

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... Demonstrated expertise in Microsoft Azure AI services and proficiency in leveraging OpenAI ...

Reply

Senior AI Engineer

Chicago, IL · On-site

$140K - $180K/yr

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... Demonstrated expertise in Microsoft Azure AI services and proficiency in leveraging OpenAI ...

Reply

Senior AI Engineer

Chicago, IL · On-site

$140K - $180K/yr

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... Demonstrated expertise in Microsoft Azure AI services and proficiency in leveraging OpenAI ...

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Senior Azure Ai Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior azure ai engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior azure ai engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a senior Azure AI engineer?

A Senior Azure AI Engineer is an experienced professional who designs, develops, and deploys artificial intelligence solutions using Microsoft Azure's cloud-based services. They work with tools like Azure Machine Learning, Cognitive Services, and AI infrastructure to build applications that leverage machine learning, natural language processing, computer vision, and more. Their role often involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, secure, and effective AI-powered solutions. In addition to technical implementation, Senior Azure AI Engineers typically mentor junior team members and contribute to best practices within their organization.

What are the key skills and qualifications needed to thrive as a senior Azure AI engineer?

To thrive as a Senior Azure AI Engineer, you need advanced expertise in machine learning, deep learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Azure AI services, Python or R programming, and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Strong problem-solving, communication, and project management skills help drive innovation and lead cross-functional teams. These capabilities are essential for designing scalable AI solutions that meet business objectives and leverage the full potential of Azure’s platform.

How does a senior Azure AI engineer typically collaborate with data scientists and other engineering teams?

As a Senior Azure AI Engineer, you will frequently work alongside data scientists to design, develop, and deploy machine learning models using Azure's AI services. Collaboration involves translating business requirements into robust AI solutions, optimizing model performance, and integrating these models into production systems. You will also partner with DevOps and cloud infrastructure teams to ensure scalable, secure, and maintainable deployments. Effective communication and a proactive approach to knowledge sharing are key, as you’ll often guide junior engineers and contribute to cross-functional project planning.
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Infographic showing various Senior Azure Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Sr. AI Engineer

Peter Millar

NC • On-site

$98K - $135K/yr

Full-time

Posted 15 days ago

Key responsibilities

  • Build and deploy production AI features such as search, personalization, content generation, and internal copilots on Microsoft Foundry.

  • Establish deployment, monitoring, evaluation, and cost-management practices around AI projects, including implementing CI/CD and prompt/model versioning.

  • Implement guardrails, output validation, PII handling, and ensure technical controls align with policies.

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.

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