Lead AI Automation

Job Description

AI Automation Lead / Automation Engineer

• Hands-on expertise in Playwright automation for web, API, and end-to-end testing; ability to design scalable automation
• frameworks from scratch.
• Strong experience in non-AI test automation using Playwright, Selenium, Cypress, or similar tools, with CI/CD pipeline integration.
• Programming skills in JavaScript / Type Script and/or Java; ability to build reusable utilities, test data handlers, and reporting components.
• API testing experience using REST Assured, Postman, Playwright API testing, or equivalent toolsets.
• Working knowledge of AI-enabled automation, GenAI-assisted test case generation, AI agents, MCP concepts, Copilot, LLM-based productivity accelerators, or intelligent quality engineering solutions.
• Experience with test strategy, automation coverage planning, regression optimization, defect triage, and quality metrics reporting.
• Good understanding of Agile delivery, user stories, acceptance criteria, sprint ceremonies, and collaboration with product / engineering teams.
• Banking, payments, financial services, or regulated enterprise delivery experience preferred.

• Lead the design, development, and maintenance of robust Playwright, cypress
  -based automation frameworks for UI, API, and end-to-end validation.
• Drive both AI-enabled automation opportunities and traditional automation execution across application teams.
• Create reusable automation assets, coding standards, framework guidelines, and best practices for test engineering teams.
• Partner with product owners, developers, QA teams, and delivery leads to define automation scope, acceptance criteria, test strategy, and regression priorities.
• Integrate automated test suites with CI/CD pipelines and ensure reliable execution, reporting, and defect feedback loops.
• Identify automation candidates, reduce manual test effort, improve regression cycle time, and increase release confidence.
• Enable GenAI / AI agent use cases where appropriate, such as test scenario generation, data creation, defect summarization, script maintenance assistance, and automation productivity improvements.
• Provide technical guidance to offshore / onsite automation engineers, review code, resolve blockers, and ensure engineering quality.
• Track automation KPIs such as coverage, execution stability, pass rate, defect leakage, reuse, and productivity improvement.
• Prepare concise status updates, risks, dependencies, and leadership‑level summaries for project stakeholders.

Strong comm unication, stakeholder management, analytical thinking, and ownership mindset.

Ability to lead small to medium automation teams across onsite, offshore, and cross‑functional delivery models.

Experience in planning work, prioritizing deliverables, tracking progress, managing risks, and driving closure.

Ability to mentor automation engineers and promote engineering discipline, quality‑first mindset, and continuous improvement.

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field. Equivalent practical experience may be considered.

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $100000 - 105000 a year

BACHELOR OF COMPUTER SCIENCE