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Azure Ai Engineer Jobs (NOW HIRING)

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 ...

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 ...

AI Engineer

Chicago, IL · On-site +1

$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.

AI Engineer

Chicago, IL · Remote

$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.

Our client is looking Agentic AI Engineer for Contract position Los Angeles, CA (Hybrid) and below ... Proficiency in deploying solutions on Azure Cloud. * Experience with databases such as Azure AI ...

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 ...

AI Engineer

Cary, NC

$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 ...

AI Engineer

Manhattan, NY

$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 ...

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 ...

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 ...

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Azure AI Engineer information

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How much do azure ai engineer jobs pay per hour?

As of May 29, 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.

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 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 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.

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 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:

Azure AI Apps Architect

Lantern

Dallas, TX • On-site

$62.75 - $81.75/hr

Full-time

Posted 7 days ago


Job description

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners.
Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society.
Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.
We are currently looking for an Azure AI Apps Architect who will be responsible for leading our clients in designing and deploying solutions in MS Azure.
Key Responsibilities
As an Azure AI Apps Architect, you will be responsible for leading our clients in envisioning, designing, developing, and deploying AI solutions in Microsoft Azure. As part of a small, dynamic team, you will be a leader on multiple projects and multiple phases of the solution life cycle including solution design and implementation of generative AI and traditional data science solutions. You will also have the opportunity to support company leaders and sales teams in business development, shaping estimations and sales estimates.
Skills, Knowledge and Expertise
  • Experience architecting, developing, deploying, and maintaining Azure generative AI and traditional machine learning solutions.
  • Experience with Microsoft Azure technologies like Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Azure Databricks, Azure SQL Database, and Azure Cognitive Services.
  • Experience programming in languages such as Python, PySpark, or C#
  • Strong foundational understanding of the concepts behind machine learning algorithms and generative AI.
  • Experience engaging in high-level conversations with clients to shape potential projects.
  • Experience in pre-sales motions to support the sales and business development teams.
  • Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements
  • Outstanding verbal and written communication skills
  • Excellent presentation and whiteboarding skills.
  • Experience communicating highly technical concepts to non-technical audiences.

Preferred Skills
  • Bachelor's degree in computer science or related field
  • Experience building automations with Azure Function Apps, Azure Data Factory, Power Automate, or Azure Logic Apps
  • AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus
  • Experience with GitHub or Azure DevOps
  • Prior consulting and business development experience a plus