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Ai Automation Engineer Jobs in Georgia (NOW HIRING)

Scalence L.L.C.

AI automation Engineer

Alpharetta, GA · On-site

C. is seeking a results-driven AI Automation Engineer with expertise in integration development, workflow automation, and data analytics/BI. The role involves designing and implementing scalable ...

Nfinity Athletic

AI Automation Engineer

Atlanta, GA · On-site

The Role We are hiring a forward-deployed AI automation engineer to embed in the business and build working systems that move revenue. This is not a research job. This is not a prompt-only job. You ...

Nfinity Athletic

AI Automation Engineer

Atlanta, GA

The Role We are hiring a forward-deployed AI automation engineer to embed in the business and build working systems that move revenue. This is not a research job. This is not a prompt-only job. You ...

Nfinity Athletic

AI Automation Engineer

Atlanta, GA · On-site

The Role We are hiring a forward-deployed AI automation engineer to embed in the business and build working systems that move revenue. This is not a research job. This is not a prompt-only job. You ...

Nfinity Athletic

AI Automation Engineer

Atlanta, GA · On-site

The Role We are hiring a forward-deployed AI automation engineer to embed in the business and build working systems that move revenue. This is not a research job. This is not a prompt-only job. You ...

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All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Georgia

Ai Automation Engineer information

See Georgia salary details

$31.2K

$90.5K

$137.6K

How much do ai automation engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai automation engineer in Georgia is $90,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $104,300.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.
What are popular job titles related to Ai Automation Engineer jobs in Georgia? For Ai Automation Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Ai Automation Engineer jobs in Georgia look for? The top searched job categories for Ai Automation Engineer jobs in Georgia are:
What cities in Georgia are hiring for Ai Automation Engineer jobs? Cities in Georgia with the most Ai Automation Engineer job openings:
Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,456 per year, or $43.5 per hour.

AI Automation Engineer

Tata Consultancy Service Limited

Alpharetta, GA • On-site

$120K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

Must Have Technical/Functional Skills
Job Summary
We are looking for a results-driven AI Automation Engineer with expertise in integration development, workflow automation, and data analytics/BI. The ideal candidate will design and implement scalable automation solutions, build seamless integrations across enterprise systems, and enable data-driven decision-making through analytics and reporting.
• attributes from multiple data sources.
• Hands-on experience with OpenIDM for user provisioning and deprovisioning workflows.
• Strong development skills in Java/J2EE for extending IAM capabilities and integrations.
• Experience working with LDAP directories, especially OpenDJ.
Key Responsibilities
1. Integration Development & Engineering
• Design, develop, and maintain APIs, connectors, and integration pipelines across internal and external systems.
• Enable seamless data exchange between enterprise applications, cloud platforms, and third-party tools.
• Build and optimize ETL/ELT pipelines to support automation and analytics use cases.
• Ensure integrations are secure, scalable, and performant.
• Troubleshoot and resolve integration issues while maintaining system reliability.
2. Automation Development & Workflow Management
• Design and implement automation workflows using tools such as Power Automate or equivalent platforms.
• Develop automated solutions for notifications, approvals, exception handling, and business process orchestration.
• Act as a Subject Matter Expert (SME) for workflow design and process optimization.
• Collaborate with stakeholders to identify automation opportunities and streamline manual processes.
• Monitor, maintain, and enhance automation workflows to ensure efficiency and reliability.
3. Data Analytics & Business Intelligence
• Perform data mapping, transformation, and reconciliation across systems.
• Develop interactive dashboards and reports using BI tools (e.g., Power BI, Tableau).
• Enable real-time and rapid reporting for business and operational insights.
• Ensure data quality, consistency, and accuracy across reporting systems.
• Work closely with business teams to translate requirements into analytical models and visualizations.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000- 130,000 a year

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