Automation engineer with AI - Vice president

The App Dev Tech Lead Analyst (Vice President - C13) is a strategic engineering leader who stays abreast of developments within quality engineering and Generative AI technologies, contributing directly to the directional strategy and execution within our testing ecosystem. As a recognized technical authority, this role drives the modernization, scalability, and AI-enablement of enterprise-grade test automation architectures. This role requires advanced communication, technical mentorship, and diplomacy skills to guide, influence, and collaborate across engineering, product, architecture, and business teams. You will have a significant impact on accelerating delivery velocity, defect detection, and quality metrics across complex, mission-critical platforms through modern AI-driven QA practices. Key Responsibilities AI-Driven Automation & Architecture Leadership Lead Next-Gen Automation Frameworks: Architect and lead the end-to-end development of robust, scalable UI and API automation frameworks across multi-tier enterprise applications. AI-Enabled Test Engineering: Champion and operationalize AI-driven engineering tools—including Friday.AI, GitHub Copilot, Microsoft Copilot, and Visual AI testing solutions—to accelerate automated script creation, expand test coverage, identify defects earlier in the SDLC, and eliminate manual regression effort. Autonomous API & Backend Automation: Leverage Devin AI and modern autonomous AI agents to build, optimize, and scale automated API test suites, and performance verifications across microservices and cloud ecosystems. Mentorship & Skill Development: Act as a hands-on technical mentor to junior, mid-level, and senior QA engineers, fostering upskilling programs in API testing, AI-assisted tooling, and advanced framework architecture. Intelligent Test Case & Data Generation: Implement Friday.AI to automatically generate comprehensive functional test scenarios, edge-case matrices, and realistic, compliant synthetic test data pipelines. Visual AI & Cross-Platform Validation: Integrate Visual AI validation engines to streamline UI/UX consistency, layout validation, and cross-browser/cross-device test executions. Quality Engineering & Technical Delivery Full Lifecycle Quality Ownership: Drive quality throughout the entire software development lifecycle (SDLC/STLC), integrating automated gates within modern CI/CD pipelines (e.g., TeamCity , Jenkins, Harness). Core Automation Mastery: Maintain hands-on expertise in Java/Python-based automation stacks (Selenium, Playwright, REST Assured, TestNG, Cucumber/BDD) with solid OOP design patterns. End-to-End Test Execution: Plan, coordinate, and govern Functional, Automation, Integration, Performance, and User Acceptance Testing (UAT) rollout strategies alongside technology project managers and business stakeholders.