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Ai Automation Engineer Jobs in Decatur, GA (NOW HIRING)

Process automation: New advisor onboarding -- The process from signed agreement to fully ... Experience with prompt engineering or AI workflow design * Background in consulting, operations ...

Process automation: New advisor onboarding The process from signed agreement to fully-provisioned ... Experience with prompt engineering or AI workflow design * Background in consulting, operations ...

Process automation: New advisor onboarding The process from signed agreement to fully-provisioned ... Experience with prompt engineering or AI workflow design * Background in consulting, operations ...

Senior Automation Engineer

Atlanta, GA · Hybrid

$100K - $131K/yr

The Team Our AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and ... Develop automation solutions that integrate with both Java-based distributed applications ...

Process automation: New advisor onboarding - The process from signed agreement to fully-provisioned ... Experience with prompt engineering or AI workflow design * Background in consulting, operations ...

Senior Automation Engineer

Atlanta, GA · On-site

$100K - $131K/yr

The Team Our AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and ... automation and testing solutions using tools such as PyTest, Robot Framework, and Selenium.

QA Automation Engineer

Atlanta, GA · On-site +1

$110K - $130K/yr

Job Title: QA Automation Engineer Location: Atlanta, GA | Remote, USA Employment Type: Full-time, ... only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing ...

QA Automation Engineer

Atlanta, GA · On-site

$110K - $130K/yr

Job Title: QA Automation Engineer Location: Atlanta, GA | Remote, USA Employment Type: Full-time, ... only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing ...

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Showing results 1-20

Ai Automation Engineer information

See Decatur, GA salary details

$36.1K

$104.6K

$159.1K

How much do ai automation engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for ai automation engineer in Decatur, GA is $104,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,500.00 and $120,600.00 per year, depending on experience, location, and employer.

What are AI Automation Engineers?

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

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 engineers make $500,000?

Senior AI Automation Engineers with extensive experience, advanced skills in machine learning, and expertise in automation tools can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Achieving this level typically requires specialized knowledge, certifications, and a strong track record of successful projects.

Is AI Automation Engineer in demand?

AI Automation Engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They typically require skills in machine learning, programming, and tools like Python and TensorFlow, with job growth expected to continue as companies seek to improve efficiency and innovation.

What is an AI Automation Engineer?

An AI Automation Engineer designs and develops systems that use artificial intelligence to automate tasks and processes. They typically work with machine learning models, programming languages like Python, and automation tools to improve efficiency and reduce manual effort in various industries.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or specialized AI consultants earning this salary range. These positions often require advanced skills in AI development, leadership experience, and may involve working in competitive industries like technology or finance.
What are popular job titles related to Ai Automation Engineer jobs in Decatur, GA? For Ai Automation Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Ai Automation Engineer jobs in Decatur, GA look for? The top searched job categories for Ai Automation Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Ai Automation Engineer jobs? Cities near Decatur, GA with the most Ai Automation Engineer job openings:

Test Automation Engineer with AI - Atlanta,GA

Cyberobotix

Atlanta, GA

$44.25 - $58.50/hr

Other

Posted 3 days ago


Job description

Job Title: Test Automation Manager 

Location: Atlanta GA-Day 1 Onsite (Please submit local candidates)

Job Description:

Role Overview:

We are looking for a Test Automation Manager with strong AI-driven testing expertise to lead and transform the quality engineering function. This role will focus on building scalable, intelligent automation frameworks and leveraging AI/ML capabilities to improve test efficiency, coverage, and release velocity across critical enterprise platforms.

The ideal candidate will bring a modern QA mindset, combining automation strategy, AI innovation, and team leadership to drive high-quality software delivery in a complex, customer-facing environment.

Key Responsibilities:

🔹 Automation Strategy & Leadership

  • Define and implement enterprise-wide test automation strategy
  • Lead and mentor QA/Automation teams across multiple initiatives
  • Drive adoption of shift-left and shift-right testing practices
  • Establish best practices for automation coverage, scalability, and reliability

🔹 AI-Driven Testing & Innovation

  • Implement AI/ML-powered testing solutions (self-healing scripts, predictive analytics, intelligent test generation)
  • Leverage tools and frameworks for:
  • Test case optimization
  • Defect prediction
  • Visual testing and anomaly detection
  • Utilize GenAI for:
  • Test script generation
  • Test data creation
  • Documentation and test case design

🔹 Automation Framework Development:

  • Design and maintain scalable automation frameworks (UI, API, backend)
  • Integrate automation suites into CI/CD pipelines
  • Improve execution speed, reliability, and maintainability of test suites

🔹 Quality Engineering & Delivery:

  • Partner with product, engineering, and DevOps teams
  • Define quality metrics, KPIs, and reporting dashboards
  • Ensure comprehensive testing across:
  • Web applications
  • Mobile applications
  • APIs and microservices

🔹 Stakeholder Management:

  • Provide visibility into release quality and risks
  • Collaborate with leadership to align automation roadmap with business goals
  • Drive continuous improvement in QA processes and delivery efficiency

Required Skills & Experience:

✅ Core QA & Automation:

  • 10+ years of experience in QA with strong automation leadership
  • Hands-on experience with tools such as:
  • Selenium / Cypress / Playwright
  • API testing (Postman, RestAssured)
  • Strong programming skills (Java / Python / JavaScript)

✅ AI / Intelligent Testing (Must Have):

  • Experience with AI-driven testing platforms (e.g., Applitools, Mabl, Functionize, Test.ai)
  • Exposure to:
  • Self-healing automation frameworks
  • ML-based test optimization
  • Working knowledge of:
  • Generative AI tools (ChatGPT, Copilot, etc.) for QA use cases

✅ DevOps & Cloud:

  • CI/CD tools (Jenkins, GitHub Actions, Azure DevOps)
  • Cloud exposure (AWS / Azure / Google Cloud Platform)
  • Experience testing in microservices architecture

✅ Leadership:

  • Experience managing QA teams (5–15+ members)
  • Strong communication and stakeholder management skills
  • Ability to drive automation transformation initiatives

Preferred Qualifications:

  • Experience with high-scale digital or e-commerce platforms
  • Exposure to performance testing tools (JMeter, LoadRunner)
  • Certifications (optional):
  • ISTQB / CSM / SAFe
  • AI/ML related certifications