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Entry Level Azure Ai Engineer Jobs in Atlanta, GA

Saxon Global

AI Customer Enginee

Atlanta, GA · On-site

We are looking for a Senior AI Customer Engineer with deep Cloud & AI Data Platform. Candidates will be supporting customers in building secure, scalable, and AI-ready solutions on Microsoft Azure.

KPMG US

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

... Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI) • Proficiency in Python or another ... programming language commonly used in AI/ML • Familiarity with conversational AI frameworks (LLM ...

Genpact

AI Engineer 4A

Atlanta, GA · On-site

Familiarity with cloud platforms such as AWS or Azure. * Basic knowledge of databases and Linux environments. Qualifications Certifications Required Skills Artificial Intelligence (AI), Azure Devops, ...

Kaleris

AI Engineer Student Advisor

Alpharetta, GA · On-site

Solid programming skills in Python preferred, or Java or C++ * Familiarity with AI and Machine ... Familiarity with Microsoft Azure services including Azure AI Studio, Azure Functions, Logic Apps ...

Kaleris

AI Engineer Student Advisor

Alpharetta, GA · On-site

Solid programming skills in Python preferred, or Java or C++ * Familiarity with AI and Machine ... Familiarity with Microsoft Azure services including Azure AI Studio, Azure Functions, Logic Apps ...

Deloitte

AI Engineer Consultant

Atlanta, GA · Hybrid

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Deloitte

AI Engineer Consultant

Atlanta, GA · On-site

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... Professional development From entry-level employees to senior leaders, we believe there's always ...

Finastra

Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

Deploy and manage LLM solutions on Azure OpenAI, AWS Bedrock, or similar cloud platforms ... AI Engineering Techniques: Knowledge of prompt engineering, context engineering, AI agent patterns ...

Aderant

AI Engineer - Center of Excellence

Atlanta, GA · On-site

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 ...

Aderant

AI Engineer - Center of Excellence

Atlanta, GA · On-site

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 ...

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$87K - $188K/yr

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 ...

KPMG

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 ...

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All JobsAzure Ai Engineer JobsEntry Level Azure Ai Engineer JobsEntry Level Azure Ai Engineer Jobs in Atlanta, GA

Entry Level Azure Ai Engineer information

See Atlanta, GA salary details

$23.1K

$100.8K

$181.8K

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

As of Aug 24, 2026, the average yearly pay for entry level azure ai engineer in Atlanta, GA is $100,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $115,400.00 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.

What are the most commonly searched types of Azure Ai Engineer jobs in Atlanta, GA?

The most popular types of Azure Ai Engineer jobs in Atlanta, GA are:

What are popular job titles related to Entry Level Azure Ai Engineer jobs in Atlanta, GA?

For Entry Level Azure Ai Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Entry Level Azure Ai Engineer jobs in Atlanta, GA look for?

The top searched job categories for Entry Level Azure Ai Engineer jobs in Atlanta, GA are:

Entry Level Azure Ai Engineer jobs near you
Infographic showing various Entry Level Azure Ai Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $100,842 per year, or $48.5 per hour.

Azure AI / Intelligent Search Engineer

Atlanta, GA • On-site

Xtreme Solutions Corporate
IT Services • 51 - 200 employees
Learn more about Xtreme Solutions Corporateexternal

$92K - $126K/yr

Full-time

Posted 3 days ago

New

Job description

Description:Role Summary

We're looking for an engineer to design and build the semantic and vector search layer that powers natural-language, source-grounded retrieval across a large body of government records. This role owns the retrieval pipeline end to end — from indexing through relevance tuning to answer grounding — and is central to making AI-assisted search trustworthy and auditable.


Key Responsibilities

• Design and implement hybrid retrieval pipelines combining semantic (vector) and keyword search using Azure AI Search.

• Build and tune embedding, chunking, and indexing strategies for large, heterogeneous document sets.

• Integrate Azure OpenAI to power retrieval-augmented generation (RAG) with source-grounded, citation-backed responses.

• Tune search relevance and evaluate retrieval quality against defined accuracy benchmarks.

• Collaborate with the Document Intelligence and SharePoint teams to ensure indexed content stays synchronized with source systems and metadata.

• Document architecture decisions and retrieval evaluation results for government stakeholders and auditors.


Requirements:Required Qualifications

• Production experience with Azure AI Search (or Cognitive Search), including semantic ranker and vector/hybrid search.

• Hands-on experience with embeddings, RAG architectures, and retrieval pipelines.

• Experience with Azure OpenAI or comparable LLM platforms in a production setting.

• Demonstrated work on chunking, indexing, and search relevance tuning.

• Experience building source attribution / citation-backed responses (prompt grounding).

• Strong SQL and API integration skills.


Preferred Qualifications

• Experience with retrieval evaluation frameworks (e.g., RAGAS or equivalent).

• Familiarity with AI guardrails, PII redaction, and prompt-injection defenses.

• Prior work on federal, government, or other highly regulated implementations.

• Experience with multi-agent orchestration (e.g., LangGraph) is a plus, not required.