Architect Jobs

About The Position

Requirements

• Senior AI/ML Engineer experience
• Expertise in test automation
• Experience with Large Language Models (LLMs)
• Experience with agentic workflows
• Experience with frameworks like LangGraph or CrewAI
• Experience analyzing Jira stories, PR diffs, and system architecture
• Experience with ML for anomaly detection and predictive risk analysis
• Experience with Generative AI
• Experience with automated evaluation frameworks (e.g., Giskard, DeepEval)
• Experience with CI/CD pipeline integration
• Experience with predictive test selection
• Experience collaborating with developers and data scientists

Responsibilities

• Design and maintain "self-healing" test frameworks that use AI to automatically update locators and scripts when UI or API schemas change, reducing maintenance toil by up to 70%.
• Implement agentic workflows (using frameworks like LangGraph or CrewAI) to analyze Jira stories, PR diffs, and system architecture to generate comprehensive test suites, including edge cases and negative scenarios.
• Build telemetry pipelines that use ML for anomaly detection and predictive risk analysis, identifying high-risk code areas before they reach production.
• Leverage Generative AI to create high-fidelity, privacy-compliant synthetic datasets for complex integration and performance testing.
• Establish automated evaluation frameworks (e.g., Giskard, DeepEval) to measure the accuracy, safety, and hallucination rates of AI-driven features.
• Architect intelligent gates within the CI/CD pipeline that use predictive test selection to run only the most relevant tests for a given code change, optimizing execution speed.
• Partner with developers and data scientists to ensure "testability" is built into AI models and microservices from the design phase.