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Azure Ai Engineer Jobs in Georgia (NOW HIRING)

GEI Consultants

AI Engineer

Atlanta, GA

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

GEI Consultants

AI Engineer

Atlanta, GA · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ...

Reply

Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... Demonstrated expertise in Microsoft Azure AI services and proficiency in leveraging OpenAI ...

KPMG

Manager, AI Engineer

Atlanta, GA · On-site

Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus * Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems ...

KPMG

Manager, AI Engineer

Atlanta, GA

Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus * Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems ...

Lindsay & Brownell

AI Engineer

Atlanta, GA · On-site

We are seeking a Senior AI Engineer specializing in MLOps and AIOps, who will play a critical role ... Deploy and monitor AI models across Azure services with robust telemetry for performance, drift ...

Digipulse Technologies, Inc

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Azure DevOps, Git, and Azure OpenAI * Arize AI or similar observability tools Responsibilities * Design and execute test plans for GenAI and LLM applications * Test prompts, agents, APIs ...

Tata Consultancy Service Limited

AI Engineer

Atlanta, GA · On-site

$120K - $140K/yr

GCP AI Agentic capabilities (If not, Azure AI Agentic capabilities is fine) * Create debugging ... Roles & Responsibilities Agentic AI Engineer * Develop AI agents/chatbots with tool integration ...

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.

Tier4 Group

Applied AI Engineer 5425

Atlanta, GA · Remote

Applied AI Engineer 5425 3-Month Contract-to-Hire Fully Remote in EST possibly with some travel (5 ... Python * Azure AI Services * PyTorch * React / TypeScript * Terraform * SQL You'll own the ...

New

Accenture

Sr AI Architect

Atlanta, GA

The AI Architect Manager is a critical leadership role responsible for designing, developing, and ... engineering, or solution architecture. Experience with Azure Databricks and distributed data ...

RITWIK Infotech Inc

AI Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Microsoft Azure AI Engineer Associate * Google Professional Machine Learning Engineer * Healthcare-related certifications (preferred) Desired Experience * 10+ years of IT experience with 5+ years in ...

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How much do azure ai engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for azure ai engineer in Georgia is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $52.55 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of an Azure AI Engineer?

An Azure AI Engineer typically spends their day designing, building, and deploying AI and machine learning models using Azure's suite of cloud-based tools. Tasks often include data preprocessing, model training and evaluation, integrating AI solutions with existing applications, and optimizing system performance for reliability and scalability. Collaboration is common, with frequent interactions with data scientists, developers, and IT specialists to ensure seamless implementation of AI solutions. This role also involves staying updated with the latest Azure features and industry trends to deliver cutting-edge, efficient solutions for business challenges.

Is Azure AI in demand?

Azure AI engineers are in high demand as organizations increasingly adopt cloud-based AI solutions and require expertise in Azure's AI services, machine learning, and data management. The role often requires knowledge of Azure tools, programming skills, and certifications, making it a valuable and sought-after position in the tech industry.

How much do Azure AI engineers make?

Azure AI engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in machine learning and cloud architecture can earn higher salaries. Compensation often includes benefits such as health insurance and professional development opportunities.

What are the key skills and qualifications needed to thrive in the Azure AI Engineer position, and why are they important?

To thrive as an Azure AI Engineer, you need a strong foundation in artificial intelligence, machine learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency in Microsoft Azure services (such as Azure Machine Learning, Cognitive Services, and Databricks), along with certifications like Microsoft Certified: Azure AI Engineer Associate, is highly valued. Effective problem-solving, teamwork, and strong communication skills help Azure AI Engineers work efficiently in cross-functional teams. These abilities are essential to deliver scalable AI solutions that align with business objectives and industry best practices.

What is an Azure AI Engineer?

An Azure AI Engineer is responsible for designing, developing, and deploying AI solutions using Microsoft Azure services. They work with AI models, machine learning, and cognitive services to build intelligent applications. Their role includes data preprocessing, model training, optimization, and integration with cloud-based systems. Azure AI Engineers collaborate with data scientists and developers to enhance AI-driven solutions for business needs. Proficiency in Azure Machine Learning, AI services, and programming languages like Python is essential for the role.

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 Azure Ai Engineer jobs in Georgia? For Azure Ai Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Azure Ai Engineer jobs in Georgia look for? The top searched job categories for Azure Ai Engineer jobs in Georgia are:
What cities in Georgia are hiring for Azure Ai Engineer jobs? Cities in Georgia with the most Azure Ai Engineer job openings:
Azure Ai Engineer jobs near you
Infographic showing various Azure Ai Engineer job openings in Georgia as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $94,193 per year, or $45.3 per hour.

AI Engineer

GEI Consultants

Atlanta, GA

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

275th of 446 rated engineering

Job description

Description

Your role at GEI. 
 
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner.
 
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and capable of scaling across use cases.
 
Essential Responsibilities & Duties 
  • Build and deploy AI-based solutions using pretrained models and Copilot technologies.
  • Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
  • Integrate AI capabilities into business workflows and applications.
  • Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
  • Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
  • Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
  • Provide technical support and troubleshooting for deployed AI solutions.
  • Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications  
  • 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
  • Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
  • Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
  • Experience delivering Generative AI (LLM) solutions, preferably on Azure.
  • Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, and other frameworks (e.g., Databricks Mosaic) for integrating Generative AI into business workflows.
  • Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and PyTorch is a plus.
  • Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
  • Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
  • Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
  • Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $110,000.00– $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 
x 
Lifting (floor to waist level) (in pounds)
x 
 
 
 
Lifting (waist level and above) (in pounds)
x 
 
 
 
Carrying objects
x 
 
 
 
Push/pull
x 
 
 
 
Twisting
x 
 
 
 
Bending
x 
 
 
 
Reaching forward
x 
 
 
 
Reaching overhead
x 
 
 
 
Squat/kneel/crawl
x 
 
 
 
Wrist position deviation
 
x 
 
 
Pinching/fine motor skills
x 
 
 
 
Keyboard use/repetitive motion
 
 
x 
 
Taste or smell (taste=never)
 
 
 
x 
Talk or hear
 
 
x 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
x 
Far Vision
 
x 

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