Automation engineer with AI - Vice president

Overview

Vice President (C13) App Dev Tech Lead Analyst leading quality engineering and AI-enabled test automation strategy, architecture and delivery across enterprise platforms.

What you'll do

• Architect and lead end-to-end development of scalable UI and API automation frameworks across multi-tier enterprise applications.
• Champion and operationalize AI-driven engineering tools, including Friday.AI, GitHub Copilot, Microsoft Copilot and Visual AI testing solutions, to accelerate script creation, expand coverage, identify defects earlier and eliminate manual regression effort.
• Leverage Devin AI and autonomous AI agents to build, optimize and scale automated API test suites and performance verifications across microservices and cloud ecosystems.
• Act as a hands-on technical mentor to junior, mid-level and senior QA engineers, fostering upskilling in API testing, AI-assisted tooling and framework architecture.
• Implement Friday.AI to generate functional test scenarios, edge-case matrices and realistic, compliant synthetic test data pipelines.
• Integrate Visual AI validation engines for UI/UX consistency, layout validation and cross-browser/cross-device test execution.
• Drive quality across the full SDLC/STLC, integrating automated gates into CI/CD pipelines (e.g., TeamCity, Jenkins, Harness).
• Maintain hands-on expertise in Java/Python automation stacks (Selenium, Playwright, REST Assured, TestNG, Cucumber/BDD) with solid OOP design patterns.
• Plan, coordinate and govern Functional, Automation, Integration, Performance and User Acceptance Testing rollout strategies alongside technology project managers and business stakeholders.
• Perform deep-dive root cause analyses on defect trends, environmental failures and production incidents, instituting automated prevention guardrails.
• Enforce end-to-end traceability across user stories, automated test definitions, execution runs and defect management systems (Jira, ALM/Quality Center).
• Define, capture and report actionable quality engineering metrics such as automation pass rates, defect leakage, AI acceleration ROI and code/test coverage.
• Act as technical advisor and coach for junior and mid-level quality engineers, driving AI tool adoption and engineering excellence across distributed teams.
• Appropriately assess risk in business decisions, drive compliance with applicable laws, rules and regulations, adhere to policy, and escalate control issues transparently.

What you'll need

• 10–12+ years of progressive experience in IT QA Engineering, Software Engineering in Test (SDET), or Test Architecture.
• Hands-on experience integrating AI coding and testing tools (Devin AI, Friday.AI, GitHub Copilot, Microsoft Copilot, Visual AI testing suites) into day-to-day testing and automation workflows.
• Demonstrated track record designing and maintaining enterprise-scale test automation frameworks (UI, API, Microservices) from the ground up using Java, Python, Selenium, Playwright, TestNG, Cucumber or REST Assured.
• API performance testing using JMeter/LoadRunner.
• Deep understanding of test data management, parameterized data provisioning and AI-based dynamic synthetic data generation.
• Solid experience embedding automated test suites into CI/CD build/release pipelines with automated gate validations.
• Comprehensive understanding of Agile, Scrum, Kanban and Behavior-Driven Development (BDD) methodologies.
• Proven ability to lead and mentor distributed (on-site and offshore) QA engineering teams while maintaining hands-on technical accountability.
• Bachelor's / University degree in Computer Science, Information Technology, Software Engineering or related technical field.

Nice to have

• Experience with Banking, Financial Services or complex banking business systems.

Details

• Location: Pune, Maharashtra, India.
• Time type: Full time.
• Job level: Vice President (C13).