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Amazon Artificial Intelligence Jobs in Georgia (NOW HIRING)

OVA.Work

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

... artificial intelligence solutions. The ideal candidate will build scalable AI models, optimize ... Amazon Web Services, Google Cloud, Microsoft • Understanding of REST APIs and microservices • ...

OVA.Work

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

... artificial intelligence solutions. The ideal candidate will work on building scalable AI models ... Amazon Web Services, Google Cloud, Microsoft • Understanding of REST APIs and microservices • ...

OVA.Work

ALM engineer

Alpharetta, GA · On-site

... artificial intelligence solutions. The role involves building scalable AI models, optimizing ... Amazon Web Services, Google Cloud, Microsoft • Understanding of REST APIs and microservices • ...

Deloitte

Oracle Gen AI Manager

Atlanta, GA · On-site

... artificial intelligence and machine learning initiatives * Identify high-value AI use cases and ... Experience working across OCI and at least one additional cloud platform, including Amazon Web ...

Deloitte

Oracle Gen AI Manager

Atlanta, GA · On-site

... artificial intelligence and machine learning initiatives * Identify high-value AI use cases and ... Experience working across OCI and at least one additional cloud platform, including Amazon Web ...

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All JobsAmazon Artificial Intelligence JobsAmazon Artificial Intelligence Jobs in Georgia

Amazon Artificial Intelligence information

See Georgia salary details

$19.1K

$90.7K

$168.8K

How much do amazon artificial intelligence jobs pay per year?

As of Aug 23, 2026, the average yearly pay for amazon artificial intelligence in Georgia is $90,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,905.00 and $122,155.00 per year, depending on experience, location, and employer.

What is an Amazon Artificial Intelligence job?

Amazon Artificial Intelligence jobs involve developing, implementing, and managing AI solutions across Amazon’s vast ecosystem, including e-commerce, cloud computing (AWS), logistics, and digital products. These roles can range from machine learning engineers and data scientists to applied scientists and AI product managers. Employees working in these positions typically design and train machine learning models, build intelligent systems, and help integrate AI technologies to improve customer experience and optimize business operations. The positions often require expertise in programming, data analysis, and AI frameworks, as well as experience with large-scale distributed systems.

What skills and qualifications are needed to thrive as an Amazon Artificial Intelligence engineer?

To thrive as an Amazon Artificial Intelligence Engineer, you need a strong background in computer science, machine learning, data analysis, and proficiency in programming languages such as Python or Java, typically supported by a relevant degree. Experience with cloud platforms like AWS, machine learning frameworks (e.g., TensorFlow, PyTorch), and certifications like AWS Certified Machine Learning are highly valued. Creative problem-solving, collaboration, and effective communication are essential soft skills for working on innovative AI projects and cross-functional teams. These skills and qualifications are crucial for developing scalable AI solutions that drive Amazon’s products and services forward.

How does an Amazon Artificial Intelligence professional typically collaborate with other teams to deliver AI-driven solutions?

As an Amazon AI professional, you'll frequently work cross-functionally with data scientists, software engineers, product managers, and business stakeholders. Collaboration often involves participating in agile development cycles, contributing to the design and deployment of scalable machine learning models, and ensuring solutions align with business goals. Regular communication and project updates are essential, as is the ability to translate complex technical concepts for non-technical colleagues. This collaborative structure helps ensure AI solutions are integrated effectively into Amazon's products and services.

What is the difference between Amazon Artificial Intelligence vs Amazon Data Scientist?

AspectAmazon Artificial IntelligenceAmazon Data Scientist
Required CredentialsBachelor's or higher in Computer Science, AI, or related fields; experience with machine learning frameworksBachelor's or higher in Data Science, Statistics, or related fields; proficiency in data analysis and modeling
Work EnvironmentDeveloping AI models, algorithms, and tools within Amazon's AI teamsAnalyzing large datasets, building predictive models, and deriving insights for business decisions
Employer & Industry UsagePrimarily in AI product development, cloud services, and machine learning solutions at AmazonAcross various departments for data analysis, forecasting, and strategic insights at Amazon

Amazon Artificial Intelligence focuses on creating AI models and algorithms, while Amazon Data Scientists analyze data to inform business decisions. Both roles require strong technical skills, but AI specialists develop the tools, whereas Data Scientists interpret data insights.

What is the easiest Amazon Artificial Intelligence job to get into?

Entry-level roles in Amazon's artificial intelligence field often include positions like AI/ML data analyst or junior research associate, which typically require foundational skills in programming, data analysis, and machine learning. These roles may also value relevant certifications or coursework and generally have less stringent experience requirements compared to senior positions.

What are popular job titles related to Amazon Artificial Intelligence jobs in Georgia?

For Amazon Artificial Intelligence jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Amazon Artificial Intelligence jobs in Georgia look for?

The top searched job categories for Amazon Artificial Intelligence jobs in Georgia are:

Amazon Artificial Intelligence jobs near you
Infographic showing various Amazon Artificial Intelligence job openings in Georgia as of August 2026, with employment types broken down into 82% Full Time, 8% Part Time, 7% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $90,697 per year, or $43.6 per hour.

Java Tech Lead

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Re-posted 24 days ago

Job description

Overview:
Job description:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Strong experience with Amazon SageMaker, Amazon Bedrock, and Amazon Jumpstart.
  • Hands-on expertise in generative AI models.
  • Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
  • Experience working with AWS cloud services such as Lambda, API Gateway, S3, and IAM.
  • Strong knowledge of Splunk for monitoring and analytics.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Strong problem-solving skills and ability to work in a fast-paced environment Strong Analytics and problem Solving Skills Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
  • Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.

Skills:
Java

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