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Strategic Staffing Solutions • Irving, Texas, United States
Role & seniority: Senior AI Test Engineer with 5+ years in software testing; focus on AI/ML systems and quality assurance leadership within a matrix organization
Stack/tools: Python (primary), Java/JavaScript as needed; CI/CD (Jenkins, GitHub Actions); AI/ML concepts (model validation, bias/fairness, data quality); cloud platforms (AWS/Azure/GCP); API testing (Postman); automated testing frameworks;version control (Git); QA tools (Selenium, Vulcan, SpecFlow); Agile practices (Jira/Confluence
Design, implement, and execute robust test plans for AI/ML models and applications; define objectives, methodologies, and scenarios
Develop and maintain automated and manual test cases; validate model outputs, performance, data quality, and integration with systems/APIs; drive QA in CI/CD
Define quality metrics (accuracy, fairness, robustness, interpretability); collaborate with engineers, PMs, and stakeholders; produce actionable test reports
5+ years of software testing experience; strong programming background; experience embedding test automation in CI/CD
Proficiency in Python; experience with AI/ML concepts and testing (data validation, model validation, performance, scalability)
Experience with API testing, data quality testing, and multiple testing types (unit to performance)
Familiarity with cloud AI/ML services and version control (Git)
AI Test Engineer
Location: Irving, TX (Onsite)
Duration: 12 Month Contract
Pay: $55/hr, W2 ONLY, NO C2C
The IAM Tools Engineering team (ITE) is looking We are seeking a highly motivated and skilled AI Test Engineer to join our growing team. The AI Test Engineer will be responsible for designing, developing, and executing comprehensive test strategies and plans for AI/ML models and applications. This role requires a strong understanding of AI principles, machine learning workflows, data quality, and various testing methodologies specific to intelligent systems. The ideal candidate will work closely with the ITE engineering team and application users, have related experience developing tests in an iterative manner, be passionate about quality, possess excellent problem-solving skills, and thrive in a collaborative, fast-paced environment. This person must have a proven track record of demonstrating their ability to effectively design and develop test frameworks, execute tests manually and in an automated manner, and have a strong technical focus. Critical success factors will include the ability to effectively engage in a matrixed organization, develop partnerships with many business, analyst, and development teams, and drive the quality assurance strategy for a cutting-edge AI enable self service identity solution.
Identifying and mitigating biases in training data and model predictions to ensure ethical and equitable AI behavior. Evaluating model resilience against various inputs, including malicious or unexpected data.
Data Quality Testing: Ensuring the integrity, consistency, relevance, and representativeness of data used for training and testing AI models. Identifying vulnerabilities in AI systems and ensuring compliance with data protection standards (e.g., GDPR, CCPA). Verifying seamless integration of AI models with other systems, APIs, and existing software. Execute manual and automated test cases, analyzing results and identifying defects, anomalies, and inconsistencies. Implement and maintain automated testing frameworks and tools specifically designed for AI/ML models and pipelines Develop test scripts using programming languages commonly used in AI/ML (e.g., Python, Java, JavaScript). Utilize AI-specific testing tools and frameworks to enhance testing efficiency and accuracy. Integrate testing processes into Continuous Integration/Continuous Deployment (CI/CD) pipelines. Accurately document, track, and prioritize defects and issues found during testing. Work closely with development teams to ensure timely resolution of identified problems. Prepare comprehensive test reports, providing actionable insights into AI model performance and quality. Work with leaders, stakeholders, SMEs, scrum team, project managers, etc. to ensure success against stated objectives, ensuring the team is delivering a successful product Collaborate with internal and external subject matter experts, developers, and other QA Engineers Produce effective test scenarios to capture and communicate business process and requirements Ability to communicate daily status, along with defects/issues found, at daily standups. Required Qualifications 5+ years of practical Software Testing experience with web-based applications using automated test engineering tools. College degree in Computer Science/Engineering or equivalent work experience Strong technical background required. Must have prior programming experience and solid understanding of how to embed test automation in CI/CD pipelines(e.g., Jenkins, GitHub Actions). Must also have experience in all types of testing, including unit, integration, system, functional, non-functional and performance testing. Understanding of cloud platforms (AWS, Azure, GCP) and their AI/ML services is a plus. Experience with various testing methodologies (functional, performance, security, etc.). Hands-on experience with automated testing frameworks. Strong proficiency in at least one programming language essential for AI/ML and test automation (e.g., Python). Understanding of AI/ML concepts, algorithms, and workflows (e.g., supervised/unsupervised learning, neural networks, natural language processing, computer vision). Experience with data validation, cleansing, and quality assurance processes for large datasets. Knowledge of API testing tools (e.g., Postman). Familiarity with version control systems (e.g., Git) Hands-on experience with planning, designing, executing tests and knowledge of performance and stress testing Experience implementing and maintaining quality test automation for web applications
Desired Qualifications Experience being creative and having initiative to improve product quality coverage and effectiveness Strong analytical skills with high attention to detail and accuracy Strong organizational, multi-tasking, and prioritizing skills Experience with Agile methodologies (Ceremonies, Definition of Done, Definition of Ready, Lean Thinking, etc..) Experience with Selenium, Vulcan, SpecFlow, or similar testing tools Knowledge of DevOps practices Ability to work effectively in virtual environment where key team members and partners are in various time zones and locations Experience with Atlassian products (e.g. Confluence and JIRA) Experience with QA process and methodologies Experience communicating with technical and non-technical stakeholders across all levels of the organization Experience thriving in an ambiguous environment that demands constant self-prioritization