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Ai Platform Engineer Jobs in Georgia (NOW HIRING)

RaceTrac

AI & M365 Platform Engineer

Atlanta, GA · On-site +1

RaceTrac Company Overview The AI & M365 Platform Engineer is responsible for the reliable, secure, and scalable operation of the organization's Microsoft 365 AI and automation ecosystem, including ...

Rezult Group, Inc

Platform Engineer

Alpharetta, GA · On-site

This is a VMware Cloud Foundation platform engineering role , not primarily a network or NSX ... Experience using corporate AI tools responsibly to improve productivity, automation, documentation ...

Cargill

Director, AI Platform

Atlanta, GA · On-site

$145K - $235K/yr

This role sits at the intersection of business strategy, advanced analytics and AI engineering. The Director will define the AI platform vision, along with leading a team of engineers to build and ...

Cargill

Director, AI Platform

Atlanta, GA · On-site

$145K - $235K/yr

This role sits at the intersection of business strategy, advanced analytics and AI engineering. The Director will define the AI platform vision, along with leading a team of engineers to build and ...

Cargill

Director, AI Platform

Atlanta, GA · On-site

$145K - $235K/yr

This role sits at the intersection of business strategy, advanced analytics and AI engineering. The Director will define the AI platform vision, along with leading a team of engineers to build and ...

Cargill

Director, AI Platform

Atlanta, GA · On-site

$145K - $235K/yr

This role sits at the intersection of business strategy, advanced analytics and AI engineering. The Director will define the AI platform vision, along with leading a team of engineers to build and ...

PlayAGS, Inc.

DevOps Platform Engineer

Duluth, GA · On-site

$120 - $180/hr

... Engineer builds and maintains the technical infrastructure that enables AGS's entire AI program to ... Provision and manage the agentic AI platform infrastructure -- LLM API gateway, vector database ...

AgileEngine

AI Platform Tech Lead ID84742

Atlanta, GA · On-site

The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI ...

AgileEngine

AI Platform Tech Lead ID84742

Boston, GA · On-site

The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI ...

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Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai platform engineer in Georgia is $54.00, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $62.31 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What are popular job titles related to Ai Platform Engineer jobs in Georgia?

For Ai Platform Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in Georgia look for?

The top searched job categories for Ai Platform Engineer jobs in Georgia are:

What cities in Georgia are hiring for Ai Platform Engineer jobs?

Cities in Georgia with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Georgia as of August 2026, with employment types broken down into 51% Full Time, 39% Part Time, 7% Contract, and 3% Nights. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $112,325 per year, or $54 per hour.

AI Platform Engineer - Internal Automation & Tools

Deposco

Alpharetta, GA • On-site

$90 - $120/hr

Other

Posted 5 days ago

Job description

Deposco is seeking a second AI Engineer to join our Platform and Innovation R&D team in Alpharetta, Georgia. This role involves leading the application of AI across the organization, focusing on operational improvements and automation.

You’ll develop AI tools, collaborating cross-functionally to enhance productivity. Ideal candidates should have experience with Java web applications and AI coding tools, alongside a strong entrepreneurial mindset. Join an energetic team that celebrates innovation and collaboration.

Perks include a dynamic workplace, health benefits, and a recognized top workplace culture.

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