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Generative Ai Testing Jobs in Pennsylvania (NOW HIRING)

Sr AI Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Using generative AI tools * AI assisted productivity * Understand quality engineering practices * Needs to understand security testing practices Flex Skills/Nice to Have: * Knowledge of programming ...

Sr AI Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Using generative AI tools * AI assisted productivity * Understand quality engineering practices * Needs to understand security testing practices Flex Skills/Nice to Have: * Knowledge of programming ...

Sr AI Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Using generative AI tools * AI assisted productivity * Understand quality engineering practices * Needs to understand security testing practices Flex Skills/Nice to Have: * Knowledge of programming ...

Artificial Intelligence Engineer

Pittsburgh, PA · Hybrid

$111K - $133K/yr

Develops and implements machine learning and generative AI models and algorithms to solve complex ... Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ...

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Develops and implements machine learning and generative AI models and algorithms to solve complex ... Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ...

General Information

Philadelphia, PA · On-site

$60.50 - $78.75/hr

Design, build, and deploy production-grade machine learning and Generative AI solutions that solve ... testing, and automated retraining. * Build and manage online and batch model-serving endpoints ...

Sr Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

AI Prompt engineering * Using generative AI tools * AI?assisted productivity * Understand quality engineering practices * Needs to understand security testing practices Flex Skills/Nice to Have:

Senior Applied AI Engineer

Malvern, PA · On-site

$130K - $162K/yr

... shipping LLM, generative-AI, or agent-based capabilities to production, including agent ... Experience building evaluation, testing, monitoring, and observability for production AI, and ...

Sr Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

AI Prompt engineering * Using generative AI tools * AI?assisted productivity * Understand quality engineering practices * Needs to understand security testing practices Flex Skills/Nice to Have:

Design and execute adversarial evaluations of generative AI and agentic systems, probing for safety ... testing, and the ability to identify confounds and methodological flaws in existing analyses

Showing results 21-40

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.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Certifications in AI or data science can enhance your qualifications and improve job prospects.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development that involves evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, making it a promising career path with increasing demand as AI technologies expand. Professionals in this area can find opportunities in tech companies, research labs, and startups focused on AI innovation.

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.
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Infographic showing various Generative Ai Testing job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Sr AI Enterprise Engineer

System One

Pittsburgh, PA • On-site

$101K - $139K/yr

Contractor

Re-posted 10 days ago


Job description

Tittle: Sr AI EnterprIse Engineer Location: Pittsburgh, PA 15222 (Locals Preferred) Work Mode: 5 days in office Duration: Contract to Hire Years Of Exp Required: 12+ Years FUNCTION OF THE GROUP: Workforce Technology, technology that supports HR, legal, audit, corporate responsibility and the chief financial officer. We do the technology that supports most of the internal functions of the bank. INITIATIVES/PROJECTS: Need for resources who are savvy with AI. We are seeking to build an engineering talent that can develop and scale prompts INDUSTRY BACKGROUND: Open to all backgrounds, really looking for that AI enterprise engineering talent Roles and Responsibilities: • Need for resources who are savvy and have cutting edge talent with AI. We are seeking to build an engineering talent that can develop and scale prompts. • Help support and architect business processes, leveraging either agenda coding solutions or creating agents that can streamline processes • Working with groups who are process intensive and will be coming in to help reimagine things • Applying AI to process improvement and efficiency • AI assisted productivity (automation, workflow enhancement) • Prompt engineering – writing effective prompts for tools like Copilot, ChatGPT, or Gemini • Following SOLID engineering principles and practices • Advancing knowledge around how we can automate business processes, drive change, and leverage technology. Must Have Technical Skills: (Min 8+ years of exp in all of the below required skills) • AI Prompt engineering • Using generative AI tools • AI assisted productivity • Understand quality engineering practices • Needs to understand security testing practices

Flex Skills/Nice to Have: • Knowledge of programming languages such as Java, .net, or Python.

Ref: #404-IT Pittsburgh