SDET AI Architect role

Job Openings: 1

Experience: 12-18 Yrs

Published On: Jun 05, 2026, 12:34 pm Job Description

Required Technical Skills

(Required)

• 8+ years in software testing, QA automation, quality engineering, or test architecture.
• 3+ years designing or implementing AI/ML or GenAI-based solutions in enterprise environments.
• Strong understanding of: software testing methodologies, test automation frameworks
• SDLC/STLC
• CI/CD pipelines
• quality engineering practices
• Experience with AI technologies such as: machine learning models, NLP, LLMs, prompt engineering, retrieval-augmented generation concepts
• AI agents/workflow automation
• 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 solution

(Desired)

• Experience building AI copilots or assistants for QA teams.
• Familiarity with vector databases, model evaluation, and MLOps/LLMOps concepts.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Understanding of regulated environments and compliance requirements.
• Certifications in test architecture, cloud, AI/ML, or enterprise architecture.
• Hands on experience with Python
• development experience in AWS Cloud technology
• Experience in TDD, continuous integration, code review practice is strongly desired
• Experience with Apigee or other API gateways is a plus
• Experience with DevOps concepts and tools (e.g., CI/CD, Jenkins, Git)
• At least 2 years working on an Agile team with a solid understanding of Agile/Lean practices.
• Understanding of a micro service Architecture
• Experience load and performance testing
• Strong documentation skills

Key skills

• AI strategy for testing
• test architecture
• quality engineering leadership
• GenAI and LLM application design
• automation framework design
• data-driven decision making
• stakeholder communication
• governance and risk management
• Team enablement

Soft Skills

(Required)

• Ability to adapt quickly to a complex environment
• Pro-active, flexible and creative
• Very strong communication skills and the ability to collaborate with developers and business users.

Skills

• Python
• JAVASCRIPT
• GitHub
• AI/ML Work Location

Hybrid (Chicago, Illinois, Illinois, United States)