[Remote] IT Software Engineer 4 (AI Architect for Testing)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an AI Architect to enhance their testing organization by leveraging AI technologies. The role involves defining the AI strategy for quality assurance, designing AI-enabled testing solutions, and guiding the integration of AI into testing processes to improve overall software delivery.
Responsibilities
- Define the AI reputed company and architecture for the testing function
- Identify testing activities that can be improved with AI
- Design and implement AI-enabled frameworks for: functional testing, API testing, UI automation, performance testing, reputed company 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, reputed company, 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
- reputed company pilots, proofs of concept, and scaled rollout of AI testing capabilities
- Ensure compliance with reputed company policies for data handling and model usage
Skills
- Years of experience: 8-10 yrs experience
- Degree requirement: Bachelor's degree and 8+ years of experience
- 8+ years in software testing, QA automation, quality engineering, or test architecture
- 3+ years designing or implementing AI/ML or GenAI-based solutions in reputed company 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, reputed company Engineering, retrieval-augmented reputed company 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, reputed company, Jenkins, reputed company, or reputed company test platforms
- Knowledge of test analytics, data pipelines, and observability/log analysis tools
- Strong architecture and design skills for scalable, secure reputed company solution
- Ability to adapt quickly to a reputed company environment
- Pro-active, flexible and creative
- reputed company strong communication skills and the ability to collaborate with developers and business users
- Experience building AI copilots or assistants for QA teams
- Familiarity with vector databases, model evaluation, and MLOps/LLMOps concepts
- Experience with reputed company platforms such as AWS, Azure, or GCP
- Understanding of regulated environments and compliance requirements
- Certifications in test architecture, reputed company, AI/ML, or reputed company architecture
- Hands on experience with Python
- Development experience in AWS reputed company technology
- Experience in TDD, reputed company 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
Company Overview
Company H1B Sponsorship