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Data Ai Jobs in Georgia (NOW HIRING)

Meadows & Ohly , LLC

Senior Data & AI Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

This hands-on role expands our Snowflake data lakehouse, develops scalable data pipelines, and implements AI-powered solutions that drive smarter business decisions across the organization. We are ...

Armaninollp

Data & AI Platform Engineer

Atlanta, GA

$110K - $132K/yr

Understanding of data governance concepts (PII, RLS/CLS, environment separation). * Any relevant certs (Azure fundamentals, Snowflake, Databricks, etc) * Demonstrated experience with AI/ML/GenAI ...

Armaninollp

Data & AI Platform Engineer

Duluth, GA · On-site

$105K - $126K/yr

Understanding of data governance concepts (PII, RLS/CLS, environment separation). * Any relevant certs (Azure fundamentals, Snowflake, Databricks, etc) * Demonstrated experience with AI/ML/GenAI ...

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All JobsData Ai JobsData Ai Jobs in Georgia

Data Ai information

See Georgia salary details

$18.7K

$94.8K

$134.2K

How much do data ai jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data ai in Georgia is $94,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,860.00 and $116,709.00 per year, depending on experience, location, and employer.

What is a Data AI?

A Data AI job involves working with artificial intelligence and data to analyze, process, and extract insights for decision-making. Professionals in this field use machine learning, data science, and analytics to develop models that improve business processes. They may work on tasks such as automating data workflows, optimizing AI algorithms, or building predictive models. Data AI roles can be found in industries like healthcare, finance, and technology, helping organizations leverage AI for better outcomes.

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

To thrive as a Data AI professional, you need strong expertise in data analysis, machine learning, and programming, generally supported by a degree in computer science, data science, or a related field. Familiarity with tools such as Python, SQL, TensorFlow, and cloud platforms, along with relevant certifications like AWS Certified Machine Learning or Microsoft Azure AI, is highly valued. Strong problem-solving abilities, communication skills, and a collaborative mindset help individuals excel in cross-functional team settings. These skills and qualities enable effective development, deployment, and interpretation of AI-driven data solutions that drive business impact.

What are some common challenges faced by Data AI professionals, and how can they be addressed?

Data AI professionals often encounter challenges such as working with unstructured or incomplete data, integrating AI models within existing business systems, and keeping up with rapidly evolving technologies. Collaborating closely with data engineers, software developers, and business stakeholders is key to creating practical solutions that meet organizational needs. Staying proactive by regularly upskilling and participating in industry forums or trainings can help overcome technical hurdles. Many employers support continuing education, which helps Data AI professionals remain effective and innovative in their roles.

What are the most commonly searched types of Data Ai jobs in Georgia?

The most popular types of Data Ai jobs in Georgia are:

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

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

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

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

What cities in Georgia are hiring for Data Ai jobs?

Cities in Georgia with the most Data Ai job openings:

Data Ai jobs near you
Infographic showing various Data Ai job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $94,823 per year, or $45.6 per hour.

Senior Data AI Developer

ExlService Holdings, Inc.

Atlanta, GA • On-site, Remote

Full-time

Posted 7 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

136th of 496 rated business services

Job description

Senior Data & AI Developer (Agentic AI, Data Modernization, Data Quality) 

Location 

United States (Remote) | Preferred: Atlanta, GA 

Experience 

8+ Years 

Target Start Date 

September 2026 

Base Compensation Range: 90,000 - 115,000

The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Required Qualifications

8+ years in Data Engineering, AI Engineering, or Software Development
Strong Python and SQL expertise
Experience with Agentic AI and LLM applications
Cloud experience in Azure, AWS, or GCP
Data Quality, Metadata Management, and Data Governance experience
CI/CD and Agile delivery experience

Key Responsibilities

Build AI agents and multi-agent solutions
Develop agentic workflows and LLM integrations
Implement data quality, classification, lineage, and governance solutions
Design scalable ETL/ELT pipelines and modern data platforms
Support cloud-based data modernization programs
Collaborate with business, architecture, and engineering teams

What ExlService Holdings employees say

Pay

Hours and flexibility

Workplace

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