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Entry Level Azure Ai Engineer Jobs in Atlanta, GA

Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems ...

Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems ...

Associate AI Engineer

Atlanta, GA · On-site

$80 - $110/hr

Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems ...

Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems ...

Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems ...

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.

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, ...

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 ...

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 ...

... 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 ...

... 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 ...

Senior AI Engineer

Atlanta, GA · On-site

$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 ...

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 ...

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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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 30, 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:

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.

Associate AI Engineer

Emory Healthcare

Atlanta, GA • On-site

Full-time

Re-posted 13 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 218 frontline employees who took The Breakroom Quiz

162nd of 895 rated healthcare providers


Job description

Overview
Be inspired. Be rewarded. Belong. At Emory Healthcare.
At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:
  • Comprehensive health benefits that start day 1
  • Student Loan Repayment Assistance & Reimbursement Programs
  • Family-focused benefits
  • Wellness incentives
  • Ongoing mentorship, development, and leadership programs
  • And more

Atlanta based position requiring one onsite meeting bi-weekly
Description
The Associate AI Engineer supports the design, development, testing, and deployment of enterprise artificial intelligence (AI) solutions under the guidance of AI architects and senior engineers. This role collaborates with cross-functional teams to develop secure, scalable, and compliant AI applications that support clinical, operational, and administrative initiatives. The Associate AI Engineer contributes to the implementation of AI technologies while developing technical expertise and supporting the organization's responsible AI objectives. This is an Atlanta based position that will require one day every other week onsite for AI team meetings. We are looking for builders in this role, willing to dive into a variety of workstreams, and passionate about AI healthcare.
RESPONSIBILITIES:
AI Solution Development:
  • Assist product managers, AI architects, and senior engineers in defining AI solution requirements, estimating user stories, and developing technical specifications
  • Participate in the hands-on development of AI solutions under the guidance of senior technical staff, including: Data ingestion and preparation - Prompt engineering - Pipeline orchestration and deployment - Quality assurance testing and validation - Front-end development and integration
  • Support the implementation, testing, troubleshooting, and optimization of AI applications and supporting technologies
  • Assist with documenting technical solutions, development processes, and implementation activities

Technical Collaboration and Support:
  • Collaborate with AI architects, engineers, product managers, and cross-functional stakeholders throughout the software development lifecycle
  • Support the development of secure, scalable, and compliant AI solutions aligned with enterprise architecture and responsible AI principles
  • Participate in technical discussions, code reviews, and knowledge-sharing activities to support continuous improvement

Continuous Learning and Innovation:
  • Develop technical knowledge of artificial intelligence, machine learning, cloud technologies, and software engineering best practices
  • Stay current with emerging AI technologies, development frameworks, and engineering methodologies to support ongoing innovation

PREFERRED QUALIFICATIONS:
  • Education: College Coursework, co-op, or internship experience in healthcare or life sciences Coursework toward or completion of an advanced degree (e.g., Master of Science, MBA, or related field)
  • Experience:
    • 2+ years of relevant software engineering, data engineering, or AI engineering experience
    • 1+ years of experience developing machine learning/artificial intelligence solutions within healthcare or life sciences
    • Exposure, education, or experience in Human-Computer Interaction (HCI)
    • Experience working in agile, cloud-based product development environments
    • Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems certifications (e.g., Cogito, Clarity, Caboodle, Cognitive Computing) or SAFe Agile or other related certifications

MINIMUM QUALIFICATIONS:
  • Education: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related field
  • Experience: 0-2 years of experience in software engineering, data engineering, machine learning/artificial intelligence (ML/AI) engineering, or a related field
  • Knowledge, Skills, and Abilities (Required):
    • Knowledge of Python and SQL programming languages
    • Foundational understanding of artificial intelligence, machine learning, and data science principles
    • Ability to assist in the development, testing, and deployment of AI applications and supporting technologies
    • Knowledge of software development lifecycle concepts and engineering best practices
    • Strong analytical and problem-solving skills
    • Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
    • Strong data visualization and reporting skills to communicate technical and operational insights
    • Ability to work collaboratively within cross-functional technical teams
    • Demonstrated commitment to continuous learning in artificial intelligence, machine learning, cloud technologies, and DevOps/MLOps practices

Additional Details
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.
Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare's Human Resources at careers@emoryhealthcare.org. Please note that one week's advance notice is preferred.

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