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Entry Level Azure Ai Engineer Jobs in Georgia (NOW HIRING)

Knowledge of cloud-based AI/ML services (AWS Sagemaker, Azure ML, Vertex AI). * Solid understanding of data engineering concepts, including ETL pipelines and data APIs. * Ability to work in agile ...

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI) * Proficiency in Python or another programming language commonly used in AI/ML * Familiarity ...

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI) * Proficiency in Python or another programming language commonly used in AI/ML * Familiarity ...

Senior AI Engineer

Atlanta, GA · On-site

$140 - $200/hr

... Azure OpenAI, AWS Bedrock, or similar cloud platformsImplement observability and monitoring for AI systems to track performance, costs, and reliabilityAutomate model deployment and orchestration ...

... Engineer Intern is responsible for defining, designing, and prototyping AI-enabled products ... Integrate development of scalable AI solutions using Azure, Microsoft Fabric, LLMs, AI agents, APIs ...

... Engineer is responsible for defining, designing, and prototyping AI-enabled products, applications ... Integrate development of scalable AI solutions using Azure, Microsoft Fabric, LLMs, AI agents, APIs ...

AI Innovation Engineer

Atlanta, GA · On-site

$120 - $170/hr

... Engineer is responsible for defining, designing, and prototyping AI‑enabled products ... Integrate development of scalable AI solutions using Azure, Microsoft Fabric, LLMs, AI agents, APIs ...

... Engineer Intern is responsible for defining, designing, and prototyping AI-enabled products ... Integratedevelopment ofscalable AI solutions using Azure, Microsoft Fabric, LLMs,AIagents, APIs ...

Showing results 21-40

Entry Level Azure Ai Engineer information

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.

What are the most commonly searched types of Azure Ai Engineer jobs in Georgia?

The most popular types of Azure Ai Engineer jobs in Georgia are:

What cities in Georgia are hiring for Entry Level Azure Ai Engineer jobs?

Cities in Georgia with the most Entry Level Azure Ai Engineer job openings:

Infographic showing various Entry Level Azure Ai Engineer job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

.NET Full Stack Developer with AI (C#, Angular & LLM Integration) - Q3 - 2026

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Posted 10 days ago


Job description

Overview:
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we provide IT staffing and digital product engineering services to clients ranging from startups to Fortune 1000 companies. In addition to talent services, R2 develops proprietary solutions including SmartEnt, an enterprise AI and IoT intelligence platform. We work closely with our clients to deliver technology outcomes that are realistic, measurable, and impactful.
Job Summary: The .NET estate inside most enterprises is where AI has to land to be useful, and the Microsoft stack now has a first-class path to get it there. R2 Technologies is seeking a .NET Full Stack Developer with AI experience to build and maintain enterprise applications that embed Generative AI capabilities. You will work across .NET Core services, Angular front ends, and SQL Server data layers, integrating LLM-powered features such as document search, retrieval-augmented generation, chatbots, and intelligent workflow automation using Azure OpenAI and Semantic Kernel.
Key Responsibilities:
  • Design, develop, and maintain full stack applications using .NET Core/.NET 8, C#, Angular, and SQL Server.
  • Integrate Generative AI capabilities into enterprise applications using Azure OpenAI, Semantic Kernel, or Python-based LangChain services.
  • Build AI-powered features including chatbots, document search, RAG workflows, and intelligent process automation.
  • Develop and consume RESTful APIs and microservices that connect Angular front ends to backend AI services.
  • Design and optimize database schemas, stored procedures, and data models in SQL Server, and implement vector search using Azure AI Search or comparable stores.
  • Implement security best practices, coding standards, unit testing, and CI/CD pipelines within Agile/Scrum delivery.

Qualifications:
  • 3 years of full stack development experience with hands-on Generative AI or LLM integration work.
  • Strong expertise in C#, .NET Core/ASP.NET Core, Angular (v12+), and SQL Server.
  • Experience integrating LLMs such as Azure OpenAI, OpenAI, or Anthropic Claude into enterprise applications.
  • Hands-on experience with Semantic Kernel, LangChain, or comparable AI orchestration frameworks.
  • Proven experience developing REST APIs and microservices, with a strong grasp of object-oriented design patterns.
  • Familiarity with vector databases such as Azure AI Search, Pinecone, or ChromaDB, and deployment on Azure Cloud.

Skills:
.NET Core, C#, Angular, SQL Server, Generative AI, Azure OpenAI, LLM Integration, REST APIs, Full Stack Development