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Generative Ai Testing Jobs in Georgia (NOW HIRING)

Reply

AI/ML Engineer (AWS)

Atlanta, GA

$100K - $138K/yr

... and Generative AI capabilities. * Create, evaluate, and deploy machine learning solutions, including applications powered by large language models. * Establish and maintain datasets, testing ...

TMS

Cloud Developer

Alpharetta, GA · On-site

$55 - $75.25/hr

As a Cloud Developer with a focus on Generative AI, you will design and build an innovative ... testing, deployments, provisioning, and observability • Ability to manage and respond to ...

KPMG

Manager, AI Engineer

Atlanta, GA · On-site

... LLMs, generative AI, and traditional ML with enterprise platforms * Manage AI projects including architecture design, model development, integration, and testing, and ensure projects follow best ...

KPMG

Manager, AI Engineer

Atlanta, GA · On-site

... LLMs, generative AI, and traditional ML with enterprise platforms * Manage AI projects including architecture design, model development, integration, and testing, and ensure projects follow best ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

$210K - $280K/yr

With the support and investment needed to explore new frontiers in generative AI, you'll be working ... Conduct independent testing of AI models, evaluating performance metrics, sensitivity analyses, and ...

Infosys

Gen AI and Agentic AI Engineer

Alpharetta, GA · On-site

... code, testing techniques, and support activities to enrich the knowledge base and assist other ... Generative AI and LLM-based applications • Solid understanding of Agentic AI concepts (multi ...

Infosys

Gen AI and Agentic AI Engineer

Alpharetta, GA · On-site

... code, testing techniques, and support activities to enrich the knowledge base and assist other ... Generative AI and LLM-based applications • Solid understanding of Agentic AI concepts (multi ...

Trella Health

... and generative AI-and translate that foundation into measurable clinical, operational, and ... Build a high-performance culture of experimentation, A/B testing, and causal inference. Governance ...

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Georgia? For Generative Ai Testing jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Georgia look for? The top searched job categories for Generative Ai Testing jobs in Georgia are:
What cities in Georgia are hiring for Generative Ai Testing jobs? Cities in Georgia with the most Generative Ai Testing job openings:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Georgia as of June 2026, with employment types broken down into 10% Internship, 72% Full Time, 13% Part Time, and 5% Temporary. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution.
AI/ML Engineer (AWS)

AI/ML Engineer (AWS)

Reply

Atlanta, GA

$100K - $138K/yr

Other

Posted 19 days ago

Job description

Senior Developer

Valorem Reply, part of the Reply Network, is a leader in Microsoft-based IT solutions. We support and advise our Giant Tech customers in all aspects of Microsoft, and other industry-leading technologies. From designing and developing custom solutions and low-code solutions, to implementing and managing them seamlessly, Valorem Reply helps customers unlock the potential of their IT infrastructure to enable their sales and partner initiatives.

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and services on AWS. You will work closely with product, architecture, and engineering teams to deliver reliable, high-quality solutions that meet business and customer needs. You should be comfortable contributing across the software development lifecycle, from design and implementation through deployment, support, and continuous improvement.

Responsibilities
  • Build and deliver scalable systems that incorporate machine learning and Generative AI capabilities.
  • Create, evaluate, and deploy machine learning solutions, including applications powered by large language models.
  • Establish and maintain datasets, testing strategies, and validation approaches to ensure model accuracy and stability.
  • Partner with product and engineering teams to translate business needs into practical, deployable AI solutions.
  • Integrate machine learning components into existing platforms and services.
  • Develop and manage automated pipelines that support continuous integration and delivery of machine learning solutions.
  • Monitor performance in production environments and refine systems based on real-world usage.
Minimum Requirements
  • Must be US Citizen or green card holder
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 3 years experience delivering machine learning or AI-based solutions in production settings.
  • 3 years experience programming in Python or a comparable language.
  • 3 years experience working with large language models or Generative AI technologies.
  • 3 years experience building and deploying solutions in AWS environments.
  • 3 years experience establishing automated build, test, and release workflows for ML or data-driven applications.
  • 3 years experience supporting deployed models, including monitoring performance and managing updates.
Preferred Qualifications
  • Master's degree or higher in Computer Science, Engineering, or related field.
  • Experience with retrieval-augmented generation (RAG), embeddings, or agent-based architectures.
  • Experience designing distributed systems or working within cloud-based environments.
  • Experience integrating AI capabilities into customer-facing or enterprise applications.
  • Experience working in Agile development environments.
  • AWS certification

Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.

Reply is an equal opportunity employer. We are committed to providing equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you need assistance or reasonable accommodation due to a disability during the application or recruiting process, email jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles

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