[Hiring] AI Testing Architect @TEKsystems

Role Description

• Define the AI vision and architecture for the testing function.
• Identify testing activities that can be improved with AI, including:
  • Test case generation
  • Test data creation
  • Automated test maintenance
  • Defect prediction
  • Root cause analysis
  • Log and failure analysis
  • Requirements-to-test traceability
  • Risk-based test prioritization
  • Intelligent regression selection
• Design and implement AI-enabled frameworks for:
  • Functional testing
  • API testing
  • UI automation
  • Performance testing
  • Security testing support
  • Exploratory testing augmentation
• Partner with QA, developers, DevOps, product managers, and data teams to embed AI into CI/CD and quality engineering workflows.
• Evaluate and recommend AI/ML, GenAI, and test automation tools.
• Establish standards for AI governance, privacy, security, explainability, and responsible usage in testing.
• Create architecture for integrating LLMs, test repositories, defect systems, observability tools, and CI platforms.
• Define metrics to measure the effectiveness of AI in testing, such as:
  • Defect leakage
  • Automation coverage
  • Test execution efficiency
  • Flaky test reduction
  • Mean time to diagnose failures
  • Release quality trends
• Mentor QA engineers and SDETs on AI-assisted testing practices.
• Lead pilots, proofs of concept, and scaled rollout of AI testing capabilities.
• Ensure compliance with enterprise policies for data handling and model usage.

Qualifications

• Hands-on experience with tools/languages such as Python, Java, JavaScript, SQL, and test tools like Selenium, Playwright, Cypress, Appium, JUnit, TestNG, PyTest, or similar.
• Experience integrating with platforms such as Jira, Azure DevOps, GitHub, Jenkins, GitLab, or cloud test platforms.
• Knowledge of test analytics, data pipelines, and observability/log analysis tools.
• Strong architecture and design skills for scalable, secure enterprise solutions.
• Experience building AI copilots or assistants for QA teams (Desired).
• Familiarity with vector databases, model evaluation, and MLOps/LLMOps concepts (Desired).
• Experience with cloud platforms such as AWS, Azure, or GCP (Desired).
• Understanding of regulated environments and compliance requirements (Desired).
• Certifications in test architecture, cloud, AI/ML, or enterprise architecture (Desired).
• Hands-on experience with Python (Desired).
• Development experience in AWS Cloud technology (Desired).
• Experience in TDD, continuous integration, code review practice is strongly desired.
• Experience with Apigee or other API gateways is a plus (Desired).
• Experience with DevOps concepts and tools (e.g., CI/CD, Jenkins, Git) (Desired).
• At least 2 years working on an Agile team with a solid understanding of Agile/Lean practices (Desired).
• Understanding of a microservice architecture (Desired).
• Experience load and performance testing (Desired).
• Strong documentation skills (Desired).

Requirements

• Expert Level experience required.
• This is a Contract position based out of Chicago, IL.

Benefits

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on May 31, 2026.