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Azure Ai Engineer Jobs (NOW HIRING)

Azure AI Lead

Hamel, MN · On-site

$68 - $88.75/hr

Azure AI Foundry Specialist Strong hands-on experience with Azure AI Foundry. Strong experience ... Good understanding of LLMs, embeddings, RAG architecture, and prompt engineering. Strong experience ...

Sr. AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Azure AI Foundry (custom agent development & advanced processing) The engagement willoperatein a co ... Prompt engineering and evaluation strategies * Agent workflows and orchestration logic * API ...

Sr. AI Engineer

Amsterdam, NY · On-site

$100K - $137K/yr

Azure AI Foundry (custom agent development & advanced processing) The engagement willoperatein a co ... Prompt engineering and evaluation strategies * Agent workflows and orchestration logic * API ...

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 ...

Sr. AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Azure AI Foundry (custom agent development & advanced processing) The engagement willoperatein a co ... Prompt engineering and evaluation strategies * Agent workflows and orchestration logic * API ...

Sr. AI Engineer

Salt Lake City, UT · On-site

$53.50 - $69/hr

Azure AI Foundry (custom agent development & advanced processing) The engagement will operate in a ... Prompt engineering and evaluation strategies * Agent workflows and orchestration logic * API ...

Azure AI Architect

Irving, TX · On-site

$61 - $79.50/hr

RAG Architecture * Prompt Engineering * AI Governance * Proficiency in Python and REST APIs. * Experience with Azure DevOps, CI/CD, and cloud-native architectures. Preferred Qualifications

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 ...

Senior AI Developer (Azure AI) Location: Bay City, TX (Onsite, Mon Thurs, 4x10 Schedule) Employment: Contract / Contract-to-Hire Pay Rate: $75/hr on W2 We are seeking a Senior AI Developer to design ...

AI Engineer

$100K - $140K/yr

AI Engineer Location: Remote (US or Canada) Rate: $90,000-$140,000 USD (rates vary in Canada ... Support configuration and testing of intelligent agents across cloud (Azure) environments.

Develop and support Generative AI applications using Azure AI services and OpenAI models. * Assist ... Collaborate with data engineers to prepare and optimize datasets for AI applications. * Evaluate AI ...

New

AI Engineer

New York, NY · On-site

$150K - $175K/yr

Senior AI Engineer (GenAI & Azure/ .NET Full-Stack Integration) Experience: 10-12 Years Location: United States Role Summary: We are looking for a Senior AI Engineer to build and maintain an ...

AI Engineer

Atlanta, GA

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

Be Seen First

This is a senior engineer/architect position that requires taking ownership of Cloud Architecture, Platform Engineering and DevOps. The ideal candidate will have expertise in Azure AI Foundry, GCP ...

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Azure Ai Engineer information

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$25

$53

$76

How much do azure ai engineer jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for azure ai engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Azure AI Engineers, data scientists, and cybersecurity specialists are likely to remain in demand as AI advances, since their roles involve complex problem-solving, ethical considerations, and managing AI systems. These jobs require specialized skills, certifications, and ongoing learning to adapt to evolving technologies.

What are the typical daily responsibilities of an Azure AI Engineer?

An Azure AI Engineer typically spends their day designing, building, and deploying AI and machine learning models using Azure's suite of cloud-based tools. Tasks often include data preprocessing, model training and evaluation, integrating AI solutions with existing applications, and optimizing system performance for reliability and scalability. Collaboration is common, with frequent interactions with data scientists, developers, and IT specialists to ensure seamless implementation of AI solutions. This role also involves staying updated with the latest Azure features and industry trends to deliver cutting-edge, efficient solutions for business challenges.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI engineer or data scientist, with a total compensation package that includes salary, bonuses, and stock options reaching or exceeding that amount annually. These roles often require advanced skills in machine learning, deep learning, and cloud platforms like Azure, along with significant experience and certifications. Such compensation is usually found in senior or executive-level positions within large tech companies or specialized AI firms.

How much do Azure AI engineers make?

Azure AI engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in machine learning and cloud architecture can earn higher salaries. Compensation often includes benefits such as health insurance and professional development opportunities.

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

To thrive as an Azure AI Engineer, you need a strong foundation in artificial intelligence, machine learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency in Microsoft Azure services (such as Azure Machine Learning, Cognitive Services, and Databricks), along with certifications like Microsoft Certified: Azure AI Engineer Associate, is highly valued. Effective problem-solving, teamwork, and strong communication skills help Azure AI Engineers work efficiently in cross-functional teams. These abilities are essential to deliver scalable AI solutions that align with business objectives and industry best practices.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. These roles often require expertise in cloud platforms like Azure, strong programming skills, and sometimes leadership responsibilities or stock options.

What is an Azure AI Engineer job?

An Azure AI Engineer is responsible for designing, developing, and deploying AI solutions using Microsoft Azure services. They work with AI models, machine learning, and cognitive services to build intelligent applications. Their role includes data preprocessing, model training, optimization, and integration with cloud-based systems. Azure AI Engineers collaborate with data scientists and developers to enhance AI-driven solutions for business needs. Proficiency in Azure Machine Learning, AI services, and programming languages like Python is essential for the role.

What cities are hiring for Azure Ai Engineer jobs? Cities with the most Azure Ai Engineer job openings:
What are the most commonly searched types of Azure Ai Engineer jobs? The most popular types of Azure Ai Engineer jobs are:
What states have the most Azure Ai Engineer jobs? States with the most job openings for Azure Ai Engineer jobs include:
Infographic showing various Azure Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
Senior Copilot & Azure AI Foundry Engineer

Senior Copilot & Azure AI Foundry Engineer

Arnex Solutions LLC

Charlotte, NC • On-site

$54 - $69.50/hr

Other

Posted 22 days ago


Job description

AI Engineer 
Charlotte NC - Onsite 
 
Job Description
We are hiring a Senior Copilot & Azure AI Foundry Engineer to lead the build of our next-generation platform. You will be instrumental in designing, building, stabilizing, and scaling enterprise-grade AI solutions using Microsoft’s Azure AI ecosystem. As a senior technical resource with expertise in AI architectures, MLOps, and orchestration frameworks, you will evaluate and enhance our Copilot Studio agents, ensuring they are scalable, accurate, maintainable, and aligned with modern Azure AI best practices. This role is central to our mission of transforming media sales through prescriptive, actionable intelligence.
What You’ll Do
  • Copilot Optimization: Analyze and refactor Copilot Studio agents to eliminate redundancies, improve routing efficiency, and streamline topic structures for better maintainability.
  • Generative AI Modernization: Transition static, rule-based topics into grounded generative experiences and replace legacy ingestion methods with modern Azure AI approaches.
  • Advanced RAG Implementation: Enhance solution accuracy by integrating Azure AI Foundry capabilities, including Cognitive Search with vector embeddings and custom RAG endpoints.
  • Sophisticated AI Features: Implement high-level capabilities like multi-step reasoning, context persistence, summarization, and function calling for complex user interactions.
  • End-to-End MLOps: Design and manage scalable AI/ML pipelines, covering everything from model fine-tuning and versioning to CI/CD, monitoring, and security.
  • Architectural Leadership: Serve as the technical lead to design scalable architectures, guiding best practices and ensuring internal teams can maintain the solution post-handoff.
  • Operational Enablement: Develop infrastructure-as-code for resilient workloads and produce comprehensive documentation, including troubleshooting guides and operational playbooks.
Requirements
  • Experience: 8+ years in software architecture or cloud engineering, with at least 3+ years specifically focused on production-grade AI/ML solutions.
  • AI Ecosystem: Strong hands-on experience with Microsoft Copilot Studio and Azure AI Foundry (formerly Azure AI Studio).
  • Technical Proficiency: Expert-level Python for AI/ML development and automation; additional experience in C#, .NET, or Java is preferred.
  • AI Specialization: Solid understanding of Generative AI, prompt engineering, RAG architectures, embeddings, and vector databases.
  • MLOps & DevOps: Demonstrated experience with model lifecycle management, CI/CD pipelines, and designing resilient, serverless AI workloads.
  • Problem Solving: Proven ability to troubleshoot, refactor, and optimize existing AI solutions to meet 99.8% accuracy targets.
  • Soft Skills: Ability to lead architectural discussions with executive stakeholders and translate business needs into technical AI requirements.