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

Pwc

AI Engineer

Atlanta, GA

$55K - $187K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Kaleris

AI Engineer Student Advisor

Alpharetta, GA · On-site

Required : • Currently pursuing a degree with exposure to programming, data, or AI through ... Azure services including Azure AI Studio, Azure Functions, Logic Apps, or Blob Storage Company

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

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 ...

Intellectt INC

Agentic AI Engineer (Python)

Atlanta, GA · On-site

Agentic AI Engineer (Python) Location : Atlanta, GA - Onsite Duration : Long Term We are seeking an ... Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI models. * Exposure to MLOps ...

KPMG

Associate, AI Engineer

Atlanta, GA · On-site

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 ...

QTS Realty Trust, Inc.

AI Engineer I

Suwanee, GA · On-site

The AI Engineer I is responsible for building, testing, and maintaining components of AI-powered ... Exposure to cloud-based application development (AWS / Azure) and containerization (Docker)

Finastra

Senior AI Engineer

Atlanta, GA · On-site +1

$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 ...

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 ...

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 ...

SmartIPlace

Lead AI Engineer or Architect[Hybrid]

Atlanta, GA · On-site

$53.25 - $72.75/hr

Role: Lead AI Engineer or Architect Location: Onsite 3 times per week in Atlanta, Georgia 30328 ... Vertex AI, Azure, IBM watsonX) • Provide templates for application automation • Agentic AI ...

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Entry Level Azure Ai Engineer information

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 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 are the key skills and qualifications needed to thrive as an Entry Level Azure AI Engineer, and why are they important?

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 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 most commonly searched types of Azure Ai Engineer jobs in Georgia? The most popular types of Azure Ai Engineer jobs in Georgia are:
What are popular job titles related to Entry Level Azure Ai Engineer jobs in Georgia? For Entry Level Azure Ai Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Azure Ai Engineer jobs in Georgia look for? The top searched job categories for Entry Level 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:
Entry Level Azure Ai Engineer jobs near you
Infographic showing various Entry Level Azure Ai Engineer job openings in Georgia as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

AI Engineer

Tata Consultancy Service Limited

Johns Creek, GA • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Must Have Technical/Functional Skills
  • Hands-On Development & POCs
  • Python technology + Additional backend knowledge
  • Hands on GCP experience (Vertex AI preferred)
  • Implemented access control mechanism, trusted AI solutions
  • Strong SQL (Big Query preferred)
  • Experienced API building
  • Hands-on Experience ADK framework or similar agent framework
  • Hands-on Experience AI/LLM application or chatbots
  • Domain knowledge Supply chain / transportation domain experience (e.g., logistics, TMS, routing, shipment visibility)
  • Able to build rapid POCs demonstrating:
    • Multi-agent collaboration
    • RAG/Vector databases
    • Autonomous task execution
    • IAM/Secure service integration
    • Agents interacting with clients APIs, data platforms, and operational systems
    • MCP-based tool integrations for internal systems
  • Develop reference implementations using:
    • Vertex AI Agent Builder
    • Agent Studio / AI Studio or rapid prototyping tools
    • Enterprise copilots or operational AI assistants
    • Gemini models
    • GPT-based agents
    • GCP AI Agentic capabilities (If not, Azure AI Agentic capabilities is fine)
    • Create debugging, observability, and evaluation frameworks for agent behavior.

Roles & Responsibilities
Agentic AI Engineer
  • Develop AI agents/chatbots with tool integration (APIs, databases, services)
  • Build using ADK (Python required; Java or similar preferred)
  • Create multi-step agent workflows (reasoning, orchestration, context handling)
  • Rapidly prototype using Agent Studio / AI Studio (or equivalent)
  • Convert POCs to production services on GCP (Cloud Run / GKE)
  • Integrate with Vertex AI, BigQuery, enterprise systems
  • Implement guardrails, access controls, and monitoring
  • Optimize latency, cost, and reliability

TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-KR3
Salary Range-$120,000-$140,000 a year

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