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Ai Automation Testing Jobs in Atlanta, GA (NOW HIRING)

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Support testing of model retraining, versioning, and deployment pipelines Automation & Engineering * Develop and maintain automated testing frameworks for data pipelines and AI models * Write and ...

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How much do ai automation testing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai automation testing in Atlanta, GA is $49.31, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $56.15 per hour, depending on experience, location, and employer.

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

What are the key skills and qualifications needed to thrive as an AI automation testing professional?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What are some common challenges faced by AI automation testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

How to become an AI automation tester?

To become an AI automation tester, you should have a strong understanding of software testing principles, programming languages such as Python or Java, and experience with automation tools like Selenium or TestComplete. Familiarity with AI and machine learning concepts can be beneficial, along with certifications in testing or automation. Gaining hands-on experience through internships or projects is also valuable for this role.

Is AI automation testing a good career?

AI automation testing is a growing field within software quality assurance that involves using AI tools and scripting to automate test cases, increasing efficiency and coverage. It requires knowledge of programming, testing frameworks, and AI concepts, making it a valuable skill set with strong job prospects and competitive salaries.

What are popular job titles related to Ai Automation Testing jobs in Atlanta, GA?

For Ai Automation Testing jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Ai Automation Testing jobs in Atlanta, GA look for?

The top searched job categories for Ai Automation Testing jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Ai Automation Testing jobs?

Cities near Atlanta, GA with the most Ai Automation Testing job openings:

Ai Automation Testing jobs near you
Infographic showing various Ai Automation Testing job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $102,566 per year, or $49.3 per hour.

Executive Director, Intelligent Automation

Trimont LLC

Atlanta, GA • On-site

Full-time

Posted 24 days ago

Job description

Overview:
Founded in 1988, Trimont (www.trimont.com) is a specialized global commercial real estate loan services provider and partner for lenders and investors seeking the infrastructure and capabilities needed to help them scale their business and make informed, effective decisions related to the deployment, management and administration of commercial real estate secured credit. As the largest master servicer of commercial real estate loans in the United States, Trimont manages securitizations with meticulous oversight and coordination-protecting cash flows, mitigating risk, and ensuring portfolio performance.
We do this with a team of 1100+ extraordinary team members who serve a global client base from offices in Atlanta (headquarters), Bengaluru, Charlotte, Dallas, Hyderabad, Kansas City, London, New York and Sydney. We empower our people with advanced technology, industry-leading knowledge, and a culture centered on our core values. This approach enables our teams to deliver exceptional client service, build lasting relationships and take pride in the high-quality work they perform.
Trimont is an innovative firm where visionary professionals come to learn, grow, and thrive with colleagues driven by curiosity and collaboration.
Learn: We believe ongoing learning is critical and are focused on providing a work environment where all team members can take ownership of their careers.
Grow: We work alongside the largest institutional lenders in the world, overseeing the most significant projects in the industry. This unique opportunity allows us to broaden our skillset and develop our abilities by tackling some of the industry's most challenging and exciting endeavors.
Thrive: Our firm is a place where ethics and excellence meet to create an experience that matches our capabilities. There are no limits to what we as team members and as an organization, can achieve together.
Where people, purpose, and progress come together every day.
Job Summary:
The Executive Director, Intelligent Automation & AI Solutions is a strategic technology leader responsible for building enterprise automation capabilities that improve efficiency, reduce risk, eliminate manual work, and enhance data quality. Reporting to the Chief Technology Officer, this leader will partner with senior stakeholders to identify high-value opportunities and deliver scalable solutions using Agentic AI, machine learning, intelligent document processing, workflow automation, APIs, and modern integration technologies.
Responsibilities:
  • Architect and deliver end-to-end automation workflows across systems, teams, and data sources.
  • Design intelligent document processing, workflow orchestration, API integration, and AI-enabled automation solutions.
  • Establish reusable frameworks, accelerators, standards, and automation components.
  • Ensure solutions are scalable, secure, supportable, and aligned with enterprise architecture standards.
  • Lead cross-functional teams through design, implementation, testing, deployment, and optimization.
  • Apply machine learning, natural language processing, classification, anomaly detection, and optimization techniques to improve automation accuracy and reliability.
  • Use structured and unstructured data to automate decisions, reduce manual review, and improve operational outcomes.
  • Oversee model validation, performance measurement, feedback loops, and continuous improvement mechanisms.
  • Establish controls for high-confidence extraction of monetary and other business-critical data.
  • Guide responsible use of emerging AI and data science technologies to create explainable, measurable, business-aligned solutions.
  • Build and lead a high-performing automation engineering and architecture organization.
  • Establish and lead an AI Center of Excellence that builds a cross-functional community, fosters collaboration across business and technology teams, promotes responsible AI best practices, and accelerates enterprise-wide adoption of AI capabilities.
  • Recruit, mentor, and develop talent across AI, automation, integration, and workflow technologies.
  • Promote innovation, experimentation, continuous learning, and operational excellence.
  • Advise executive leadership on automation opportunities, emerging capabilities, and industry trends.

Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • 12+ years of progressive enterprise technology leadership experience.
  • 8+ years leading large-scale automation, workflow, AI, or digital transformation initiatives.
  • Demonstrated success architecting and delivering complex enterprise automation solutions.
  • Proven ability to lead cross-functional teams and work directly with executive stakeholders.
  • Strong understanding of enterprise architecture, integration strategies, and complex application ecosystems.
  • Financial services, real estate services, banking, or professional services experience preferred.
  • Workflow and automation platforms such as Appian, Microsoft Power Automate, UiPath, Tungsten/Kofax, ABBYY, Azure Document Intelligence, BPM, and orchestration tools.
  • Agentic AI architectures, large language models, prompt engineering, retrieval augmented generation, human-in-the-loop solutions, and model governance.
  • Machine learning, classification, regression, clustering, anomaly detection, natural language processing, semantic search, predictive analytics, model evaluation, monitoring, tuning, and MLOps.
  • Machine learning, classification, regression, clustering, anomaly detection, natural language processing, semantic search, predictive analytics, model evaluation, monitoring, tuning, and MLOps.
  • Strong written and verbal communication skills
  • Ability to coordinate and lead cross-functional teams
  • Experience with stakeholder management and client communication
  • High attention to detail and commitment to quality
  • Analytical and problem-solving skills
  • Ability to identify and mitigate project risks
  • Experience with process improvement initiatives is a plus
  • Ability to adapt to changing priorities and work in a dynamic environment

Trimont is an equal opportunity employer, and we're proud to support and celebrate diversity in the workplace. If you have a disability and need an accommodation or assistance with the application process and/or using our website, please contact us. We are proud to maintain a drug-free policy, ensuring that our community is a secure and productive space for all our team members.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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