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Senior Artificial Intelligence Testing Jobs in Texas

Covestro

Senior Artificial Intelligence Engineer

Baytown, TX · On-site

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models ...

Covestro

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models ...

Epsilon

Artificial Intelligence Engineer

Irving, TX

$73K - $136K/yr

MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent practical experience) Click here to view how Epsilon transforms marketing with 1 View, 1 ...

SLB

Artificial Intelligence Engineer

Houston, TX · On-site

$99K - $133K/yr

... Artificial Intelligence and Generative AI capabilities into the company's domain software systems ... Experience building benchmarking pipelines, evaluation frameworks, or automated testing systems for ...

New

Hireblazer

Artificial Intelligence Engineer (AI/ML)

Austin, TX · On-site

$113K - $136K/yr

Artificial Intelligence Engineer (AI/ML) Duration: 12 Months Location: Austin, TX 78744 Note: This ... Conduct rigorous testing and quality assurance of AI models and outputs. Ensure compliance with ...

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Senior Artificial Intelligence Testing information

What is a senior artificial intelligence testing professional?

Senior Artificial Intelligence Testing professionals are experienced specialists responsible for designing, executing, and overseeing tests to ensure the quality, reliability, and ethical standards of AI systems. They develop test plans, create testing frameworks, and analyze AI model behaviors to identify errors, biases, or security vulnerabilities. They often collaborate with data scientists, engineers, and product managers to refine AI algorithms and ensure they perform as intended in real-world scenarios. Their role is critical in maintaining trust and safety in AI-driven products and services.

What skills and qualifications are needed to thrive as a senior artificial intelligence testing professional?

To thrive as a Senior Artificial Intelligence Testing professional, you need expertise in software testing methodologies, machine learning concepts, and proficiency in programming languages like Python, along with a degree in computer science or a related field. Familiarity with AI testing frameworks, automated testing tools (such as TensorFlow, PyTorch, Selenium), and relevant certifications (like ISTQB) is often required. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are critical to ensuring the quality, reliability, and ethical integrity of AI systems in complex, real-world applications.

What are common challenges faced by senior artificial intelligence testing professionals, and how can they be addressed?

Senior Artificial Intelligence Testing professionals often encounter challenges such as ensuring the reliability of complex AI models, dealing with insufficient or biased data, and validating unpredictable outputs. Addressing these issues typically involves developing comprehensive test plans, employing advanced testing frameworks, and collaborating closely with data scientists and engineers. Regular communication with cross-functional teams and staying updated on the latest AI testing methodologies are also essential for overcoming these challenges and ensuring robust, ethical AI systems.

What is the difference between Senior Artificial Intelligence Testing vs Machine Learning Engineer?

AspectSenior Artificial Intelligence TestingMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in AI testing toolsBachelor's or Master's in CS, strong programming skills, knowledge of ML frameworks
Work EnvironmentAI development teams, quality assurance, testing labsData science teams, software development environments, cloud platforms
Employer & Industry UsageTech companies, AI-focused firms, research institutionsTech companies, startups, research labs, AI product companies
Common Search & Comparison IntentUnderstanding testing roles in AI projectsDeveloping and deploying machine learning models

While Senior Artificial Intelligence Testing focuses on evaluating and validating AI systems for accuracy and reliability, Machine Learning Engineers design, build, and optimize machine learning models. Both roles require a strong background in computer science and AI, but their core responsibilities differ: testing emphasizes quality assurance, whereas engineering emphasizes model development and deployment.

How do I become a senior artificial intelligence testing?

To become a senior artificial intelligence testing professional, candidates typically need a strong background in computer science, machine learning, or related fields, along with experience in AI development and testing. Proficiency in programming languages like Python, knowledge of AI frameworks, and familiarity with testing tools are essential, often complemented by advanced degrees or certifications in AI or software testing. Progression usually involves gaining experience in AI projects, demonstrating leadership skills, and staying updated with emerging AI technologies and testing methodologies.

Is senior artificial intelligence testing a good career?

Senior artificial intelligence testing is a specialized role that involves evaluating AI systems for accuracy, reliability, and safety, often requiring skills in programming, data analysis, and understanding of machine learning models. It is a growing field with increasing demand as AI technologies expand across industries, offering opportunities for career advancement and specialization. The role typically requires experience, technical certifications, and knowledge of testing tools and frameworks.

What are popular job titles related to Senior Artificial Intelligence Testing jobs in Texas?

For Senior Artificial Intelligence Testing jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Senior Artificial Intelligence Testing jobs in Texas look for?

The top searched job categories for Senior Artificial Intelligence Testing jobs in Texas are:

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Cities in Texas with the most Senior Artificial Intelligence Testing job openings:

Senior Artificial Intelligence Testing jobs near you

Senior Artificial Intelligence Engineer

Covestro

Baytown, TX • On-site

$95K - $130K/yr

Other

Re-posted 6 days ago

Covestro rating

6.1

Company rating: 6.1 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

92nd of 100 rated chemical manufacturers

Job description

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,000 colleagues now and together we will make the world a brighter place.
The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models and production-ready applications, ensuring scalability, reliability, and business value. Working closely with data science teams, the Senior AI Engineer transforms innovative concepts into robust, enterprise-grade AI systems that drive Covestro's digital transformation.
Major Tasks and Responsibilities
AI Solution Development & Integration
  • Engineer and deploy AI and machine learning models into production environments
  • Design and implement comprehensive MLOps and AIOps pipelines for model lifecycle management
  • Create monitoring systems to detect model drift and implement automated retraining mechanisms

Infrastructure & Architecture
  • Architect scalable AI solutions leveraging cloud and edge computing technologies
  • Develop and maintain microservice architectures supporting AI deployments
  • Implement data pipelines to support training and inference needs across diverse data types

Collaboration & Innovation
  • Partner with data scientists and Generative AI Engineers to optimize model performance and deployment efficiency
  • Work cross-functionally with business stakeholders to align AI solutions with business needs
  • Evaluate and incorporate emerging AI technologies to maintain competitive advantage

Business Impact
  • Drive business value by successfully integrating AI capabilities into Covestro's core processes
  • Accelerate digital transformation through automated, intelligent solutions that enhance efficiency and innovation
  • Enable data-driven decision making by making AI accessible and reliable for business users

Basic Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or related technical field with 7+ years' experience; OR Master's degree in in Computer Science, Software Engineering, or related technical field with 5+ years experience; OR PhD with 3+ years experience
  • 3+ years of experience in AI/ML engineering, with demonstrated success in production AI systems
  • Experience with modern AI frameworks

Knowledge and Skills
  • Strong expertise in containerization and cloud platforms
  • Proficiency with data processing technologies) and database systems
  • Programming expertise in Python and familiarity with other languages
  • Strong problem-solving skills and ability to translate business requirements into technical solutions
  • Excellent communication skills with ability to explain complex technical concepts to diverse audiences
  • Adaptability to work in a fast-paced environment with evolving technologies and requirements
  • Willingness to travel occasionally for collaboration purposes

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YOUR APPLICATION
Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now!
Equal Employment Opportunity: Hiring and advancement are based on job-related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law.
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