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Azure Ai Jobs (NOW HIRING)

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the ...

Qualysoft

Der Azure AI / ML Engineer unterstutzt Fachbereiche und IT-Teams bei der Umsetzung innovativer KI-Anwendungen und begleitet diese von der Anforderungsaufnahme bis zum produktiven Betrieb und ...

AMSYS Talent

Senior Azure AI Foundry Engineer

Houston, TX · On-site

$52.75 - $68/hr

We are seeking a hands-on Senior Azure AI Foundry Engineer to build, scale, and maintain enterprise AI environments. The engineer will design Python-based AI workflows, optimize Azure AI Foundry ...

Vytwo

Azure Automation Engineer

Prosper, TX · Hybrid

$55 - $60/hr

Azure AI Services hands-on experience with the full Azure AI suite; AI-102 certification preferred along with Azure Solutions Architect certification. Emerging Azure Technologies knowledge of ...

Tata Consultancy Service Limited

AI Architect

Irving, TX · On-site

$180K - $200K/yr

Design and implement Azure-based Agentic AI solutions leveraging Azure OpenAI, Azure AI Services, and multi-agent orchestration frameworks for enterprise use cases. Architect enterprise AI platforms ...

Texas State Library and Archives Commision

AI Architect

$65 - $84.75/hr

... Azure AI Search Azure ML Cognitive Services Deep expertise in RAG architectures LLMs and a broad sound knowledge of Microsoft technologies NET Azure M365 Power Platform DevOps is essential Key ...

Programmers.io

Azure Solution Architect

Montvale, NJ · On-site

$66.50 - $86.50/hr

Azure AI Services: - Solid understanding of all Azure AI Services and Handson Experience. The candidate with AI-102 certification is preferred along with Azure Solutions Architect Certification ...

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How much do azure ai jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for azure ai in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

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

To thrive in an Azure AI role, you need expertise in cloud computing, machine learning, and data engineering, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure AI platform tools such as Azure Machine Learning, Cognitive Services, and relevant certifications like Microsoft Certified: Azure AI Engineer Associate is highly valuable. Strong problem-solving skills, collaboration, and effective communication make candidates stand out. These abilities are essential for delivering scalable AI solutions, integrating with business needs, and achieving successful project outcomes in fast-evolving cloud environments.

What is an Azure AI job?

An Azure AI job typically involves working with Microsoft's Azure AI services to build, deploy, and manage artificial intelligence and machine learning solutions. Professionals in this role may work with tools like Azure Machine Learning, Cognitive Services, and AI-powered analytics to develop intelligent applications. Responsibilities often include data preprocessing, model training, integration with cloud services, and optimizing AI workflows for scalability and performance. This job is ideal for individuals with expertise in AI, cloud computing, and programming languages like Python or R.

Which 3 jobs will survive AI?

For Azure AI professionals, roles such as AI engineers, data scientists, and machine learning specialists are expected to remain in demand due to their need for advanced technical skills, domain expertise, and ongoing innovation. These jobs require a deep understanding of AI models, programming, and cloud platforms, making them less susceptible to automation. Continuous learning and certification in cloud and AI technologies will help ensure job security in this field.

What are some typical day-to-day tasks for an Azure AI professional?

As an Azure AI professional, your daily responsibilities often include designing and deploying AI models on Azure, integrating machine learning pipelines, and managing large-scale data processing tasks. You'll collaborate closely with data scientists, cloud architects, and business stakeholders to interpret project requirements and implement technical solutions. Regular activities may also involve automating workflows, monitoring model performance, and troubleshooting issues within the Azure cloud environment. This collaborative and dynamic work environment provides continuous learning opportunities and exposure to the latest advancements in AI and cloud technologies.

More about Azure Ai jobs
What cities are hiring for Azure Ai jobs? Cities with the most Azure Ai job openings:
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What states have the most Azure Ai jobs? States with the most job openings for Azure Ai jobs include:
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Azure Ai jobs near you
Infographic showing various Azure Ai job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, 65% Part Time, and 2% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure AI Applications Engineer

Lantern

Dallas, TX • On-site

Full-time

Posted 24 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.
Azure AI Applications Engineer
We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the power of Microsoft Azure's AI ecosystem. This role is ideal for a seasoned engineer with deep expertise in cloud-native development, AI services, and solution architecture. You will collaborate across practices to deliver transformative solutions for clients in healthcare, retail, energy, and technology sectors. Your work will shape the future of intelligent apps at Lantern, driving innovation and impact.
Key Responsibilities
  • Architect and implement scalable, secure, and high-performance AI applications using Azure AI services such as Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning.
  • Design and develop full-stack applications using modern frameworks (e.g., React, Angular, Blazor) and cloud-native patterns (e.g., APIs, microservices, containers, event-driven architecture).
  • Lead the integration of Azure App Services, Functions, and Storage into intelligent solutions that meet enterprise-grade performance and compliance standards.
  • Collaborate with cross-functional teams to define solution architecture, DevOps pipelines, and infrastructure-as-code using tools like Azure DevOps, GitHub Actions, Bicep, ARM, or Terraform.
  • Provide strategic consulting and technical leadership to clients, guiding them through AI adoption, app modernization, and platform engineering.
  • Mentor junior engineers and contribute to practice development through reusable patterns, accelerators, and thought leadership.
Skills, Knowledge and Expertise
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
  • 6+ years of experience in cloud-native application development, technical consulting, and leading customer-facing projects.
  • 4+ years of experience in Azure technologies
  • Proficiency in programming languages such as Python or C#, with experience building intelligent apps using Azure AI services.
  • Strong understanding of Azure architecture, including App Services, Functions, Storage, Networking (private endpoints, security), and DevOps practices.
  • Experience with frontend frameworks like React, Angular, Blazor, or Vue.
  • Familiarity with infrastructure-as-code tools such as ARM, Bicep, or Terraform.
  • Technical certifications in Azure (e.g., AZ-900, AZ-204, AZ-305, AZ-102) are highly desirable.
  • Exceptional communication and leadership skills, with the ability to translate complex technical concepts into business value for stakeholders.

Benefits
  • A culture that both wows our customers and employees;
  • Variety of challenging projects, and the ability to work with leading-edge technologies;
  • Competitive salary & group benefits;
  • Generous training and education opportunities;
  • Diverse team social events;
  • Be part of a team that believes in diversity, inclusion, and a fun atmosphere!

Apply