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Entry Level Azure Ai Engineer Jobs (NOW HIRING)

Navisoft

Python, Infrastructure Optimization and Tuning Azure AI Engineer Design, develop, and deploy AI-powered applications using C# and Python. Build and orchestrate intelligent agents using Microsoft ...

New

Navisoft

Azure AI Engineer

Bellevue, WA · On-site

Python, Infrastructure Optimization and Tuning Azure AI Engineer Design, develop, and deploy AI-powered applications using C# and Python. Build and orchestrate intelligent agents using Microsoft ...

New

Syntricate Technologies

Azure AI Developer

Overland Park, KS · On-site

$54.50 - $67.50/hr

Syntricate Technologies is seeking an experienced Azure AI Developer. The role involves hands-on development with a focus on AI, requiring a full stack developer with skills in C#, .NET, React ...

Lantern

Azure AI Apps Architect

Dallas, TX

$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 ...

AMSYS Talent

Azure OpenAI / AI Cloud Engineer

Houston, TX · On-site

$50.25 - $67.25/hr

We're seeking an Azure OpenAI / AI Cloud Engineer with deep experience in deploying, configuring, and managing Azure-based AI and ML services . The ideal candidate will have a strong background in ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

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 • ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

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 • ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

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 • ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

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 • ...

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 ...

KPI Partners

Azure AI Platform Engineer

Fremont, CA · On-site

$75 - $85/hr

Title: Azure AI Platform Engineer Location: Fremont, CA (Remote with Travel) Job Type: Contract - 12 Months Pay Rate: $75/hr - $85/hr Key Skills: Azure AI Foundry, Microsoft Foundry, Azure ...

Mindlance

AI Engineer

Washington, DC · On-site

$110K - $151K/yr

Developer Premium II - AI Engineer Location: Washington, DC Duration: 7 Months with long term ... Skilled in Azure AI/Google Vertex Search, Vector Databases, fine-tuning the RAG, NLP model ...

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 ... Our center of gravity is Azure AI Foundry, but the fundamentals you will learn here (APIs ...

Dew Software

Python AI Engineer

Cleveland, OH · On-site

Mandatory skills are LLM, RAG, Agentic AI, AI Chatbot, Python and Azure. Need USC profiles only either-or FTE or Subcon Job Summary We are seeking a skilled Python AI Engineer with strong expertise ...

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Entry Level Azure Ai Engineer information

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$24K

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How much do entry level azure ai engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for entry level azure ai engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What does an entry level Azure AI engineer do?

An Entry Level Azure AI Engineer is responsible for developing, deploying, and maintaining artificial intelligence solutions using Microsoft Azure's AI services and tools. They typically work on tasks such as building machine learning models, integrating AI APIs, and supporting cloud-based AI applications under the guidance of more experienced engineers. Their role often includes data preparation, testing AI solutions, and ensuring that AI models run efficiently and securely on Azure infrastructure. This position is ideal for those with foundational knowledge in AI, programming, and cloud computing who are looking to grow their skills in a real-world environment. Entry level engineers often collaborate with data scientists, developers, and project managers to deliver AI-driven solutions for various business needs.

What are the key skills and qualifications needed to thrive as an entry level Azure AI engineer?

To thrive as an Entry Level Azure AI Engineer, you need foundational experience in programming (such as Python or C#), understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with Microsoft Azure services (like Azure Machine Learning, Cognitive Services), and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Problem-solving skills, attention to detail, and effective communication help you collaborate with teams and explain AI solutions to stakeholders. These abilities ensure you can build, deploy, and maintain AI solutions efficiently in cloud-based environments, meeting business needs.

What are some common challenges faced by entry level Azure AI engineers when transitioning from academic projects to real-world applications?

Entry Level Azure AI Engineers often find that real-world projects involve integrating AI models with existing business systems and handling larger, messier datasets than those used in academic settings. Challenges may include learning to work with Azure-specific tools, collaborating with cross-functional teams, and meeting production-level reliability and scalability requirements. New hires also need to quickly adapt to agile development cycles and ongoing feedback, which can differ significantly from the more controlled pace of academic projects.

What is the difference between Entry Level Azure Ai Engineer vs Data Scientist?

AspectEntry Level Azure Ai EngineerData Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, programming, often a master's degree
Work EnvironmentCloud platforms, AI development teamsData analysis, research, modeling
Industry UsageTech, cloud services, AI projectsFinance, healthcare, tech, research

While both roles involve working with data and AI, an Entry Level Azure Ai Engineer focuses on deploying AI solutions on Azure cloud platforms, requiring cloud certifications and programming skills. A Data Scientist primarily analyzes data, builds models, and may not require cloud-specific certifications. The roles overlap in data handling but differ in technical focus and work environment.

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Entry Level Azure Ai Engineer jobs near you
Infographic showing various Entry Level Azure Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

Azure AI Engineer

On-site

Navisoft
See more jobs at Navisoftexternal

Other

Posted 3 days ago

New

Job description

Design, develop, and deploy AI-powered applications using C# and Python. Build and orchestrate intelligent agents using Microsoft Semantic Kernel and related frameworks. Integrate AI agents with enterprise systems and APIs to automate workflows and enhance decision-making. Collaborate with cross-functional teams to define agent behaviors, memory, planning, and tool usage. Optimize performance and scalability of AI solutions in production environments. Stay current with advancements in AI, LLMs, and Microsoft's agentic ecosystem.

  • Proficiency in C# with solid software engineering principles.
  • Working knowledge of Python for AI/ML scripting and integration.
  • Experience with Microsoft Semantic Kernel, AI Agents, or similar frameworks (e.g., AutoGen, LangChain).
  • Familiarity with LLM orchestration, prompt engineering, and agent memory planning concepts.
  • Understanding of REST APIs, JSON, and cloud platforms (preferably Azure).
  • Strong problem-solving skills and ability to work in agile, fast-paced environments.

Competencies: Python, Infrastructure Optimization and Tuning

Azure AI Engineer

Design, develop, and deploy AI-powered applications using C# and Python. Build and orchestrate intelligent agents using Microsoft Semantic Kernel and related frameworks. Integrate AI agents with enterprise systems and APIs to automate workflows and enhance decision-making. Collaborate with cross-functional teams to define agent behaviors, memory, planning, and tool usage. Optimize performance and scalability of AI solutions in production environments. Stay current with advancements in AI, LLMs, and Microsoft's agentic ecosystem.

Essential Skills:

  • Proficiency in C# with solid software engineering principles.
  • Working knowledge of Python for AI/ML scripting and integration.
  • Experience with Microsoft Semantic Kernel, AI Agents, or similar frameworks (e.g., AutoGen, LangChain).
  • Familiarity with LLM orchestration, prompt engineering, and agent memory planning concepts.
  • Understanding of REST APIs, JSON, and cloud platforms (preferably Azure).
  • Strong problem-solving skills and ability to work in agile, fast-paced environments.

Competencies: Python, Infrastructure Optimization and Tuning


Please note: F1 OPT candidates are not eligible for this role
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