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Azure Ai Engineer Remote Jobs in Atlanta, GA (NOW HIRING)

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 ...

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

The Senior AI Engineer is responsible for designing, building, scaling, and optimizing production-grade Agentic AI systems that drive measurable business outcomes across The Home Depot. Operating at ...

Adidev Technologies Inc

ML/AI Engineer

Alpharetta, GA · Remote

... such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Womble Bond Dickinson

Software Engineer

Atlanta, GA · On-site +1

$72K - $121K/yr

The Software Engineer designs, builds, and operates enterprise applications, data pipelines, and AI ... NET, Azure data services, and Azure AI Foundry to produce reliable, governed, production-ready ...

Crowe LLP

Senior AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Advanced hands-on experience with AWS, Azure, or Google Cloud; strong containerization expertise ...

Aimpoint Digital

Senior AI Engineer 2026 - US

Atlanta, GA · On-site +1

$100K - $138K/yr

Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar ... remote work within the US. Atlanta-based applicants will have the opportunity to work in our ...

Aimpoint Digital

Senior AI Engineer 2026 - US

Atlanta, GA · On-site +1

$100K - $138K/yr

Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar ... remote work within the US. Atlanta-based applicants will have the opportunity to work in our ...

YO AI Labs

CUDA Software Engineer - Remote

Atlanta, GA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... No prior AI experience is required. Key Responsibilities * Analyze, profile, and optimize GPU ...

New

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · Remote

$107K - $146K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Synch-Solutions

AI Consultant

Atlanta, GA · Remote

$75 - $80/hr

We have a JOB FOR YOU!!! 100% Remote. We are looking for an AI consultant to join our innovative ... Build, test, and deploy enterprise-grade AI solutions in cloud environments (AWS, Azure, GCP ...

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

Lead ML Engineer - REMOTE We are Lennar Lennar is one of the nation's leading homebuilders ... This is a key role on the Applied AI & Data Science team, sitting at the intersection of software ...

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Azure Ai Engineer Remote information

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How much do azure ai engineer remote jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for azure ai engineer remote in Atlanta, GA is $51.57, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $59.86 per hour, depending on experience, location, and employer.

What is an Azure AI engineer?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.

How do Azure AI engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

What are the key skills and qualifications needed to thrive as an Azure AI engineer remote, and why are they important?

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

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 Azure Ai Engineer Remote jobs in Atlanta, GA?

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

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

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

What cities near Atlanta, GA are hiring for Azure Ai Engineer Remote jobs?

Cities near Atlanta, GA with the most Azure Ai Engineer Remote job openings:

Azure Ai Engineer Remote jobs near you
Infographic showing various Azure Ai Engineer Remote job openings in Atlanta, GA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $107,275 per year, or $51.6 per hour.

Solution Architect - Digital Banking (AZURE AKS)

The AES Group

Atlanta, GA • Remote

$65 - $84.75/hr

Contractor

Posted 21 days ago

Job description

Role: Solution Architect – Digital Banking (AZURE AKS)
Location: Remote

Let’s create our future together at The AES Group!

About The AES Group:
The AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that have the greatest positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, engineering, and other emerging technologies.

POSITION OVERVIEW

Lead the end-to-end architecture and technical direction for Azure-based digital banking MVP. Translate business outcomes into a secure, scalable, integration-ready platform and guide cross-functional engineering teams through design, delivery, and production readiness.

KEY RESPONSIBILITIES

  • Own conceptual, logical, and physical solution architecture and key architecture decisions.
  • Define cloud-native, API-first, event-driven, Microfrontend, Backend-for-Frontend (BFF), domain-driven, security, resiliency, and observability architecture patterns.
  • Guide integration architecture across Fiserv DNA, MuleSoft, Oracle GoldenGate, secure messaging, and branch/ATM services.
  • Lead design reviews and resolve cross-team technical dependencies and risks.
  • Ensure alignment with enterprise architecture, Azure Well-Architected practices, and financial-services security expectations.
  • Partner with product, business, engineering, QA, DevSecOps, and security stakeholders through delivery and hypercare.

REQUIRED QUALIFICATIONS

  • 15+ years in software engineering, including 5+ years in solution or enterprise architecture.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.
  • Design and govern Backend-for-Frontend services supporting channel-specific mobile and web requirements.
  • Experience delivering enterprise solutions in Agile, cross-functional, and distributed-team environments.
  • Hands-on experience using enterprise-approved generative AI or coding assistants across the SDLC, with human review, secure prompt/data handling, traceability, and validation of AI-generated outputs. Ability to define team guardrails, adoption practices, and measurable productivity improvements.

REQUIRED TECHNICAL SKILLS

  • Microsoft Azure: APIM, Azure Kubernetes Service (AKS), Azure Functions, Durable Functions, Service Bus, Event Grid, Storage, Monitor, Application Insights
  • Cloud-native, microservices, API-first, event-driven, and domain-driven architecture, Microfrontend architecture.
  • Microsoft Entra ID B2C, OAuth 2.0, OIDC, JWT, Zero Trust, secrets and encryption patterns
  • ARM/Bicep, Azure DevOps, CI/CD, AKS, architecture governance, ADRs, and production-readiness reviews
  • Digital banking, credit union, or regulated financial-services experience
  • Fiserv DNA, MuleSoft, Oracle GoldenGate, Thales Akeyless, or CipherTrust
  • Azure AI Foundry, Azure OpenAI, Azure AI Search, or responsible AI architecture

SUCCESS PROFILE

  • Takes ownership and communicates clearly with technical and business stakeholders.
  • Balances delivery speed with security, quality, maintainability, and regulatory expectations.

Works effectively across onsite and offshore teams and responds constructively to changing priorities.