AI Test Automation Architect

Position Overview

Job Title- AI Test Automation Architect

Location- Pune

Role Description

We are seeking an accomplished and highly experienced Vice President, AI Test Automation Architect, to lead the evolution of our test automation capabilities within Corporate Bank Technology. With a minimum of 15-18 years of progressive experience, the successful candidate will be a visionary leader responsible for defining, implementing, and overseeing the integration of AI and machine learning into our end-to-end test automation strategy, frameworks, and tools across all non-production environments.

This role requires extensive liaison with various Technology teams, including Development, QA, Environment Management, and Operations, to champion the adoption of AI-driven automation that accelerates testing cycles, enhances test coverage, and supports the rapid delivery of robust banking applications. The ideal candidate will possess deep expertise in test automation architecture, a strong understanding of AI/ML principles and their application in testing, and a comprehensive knowledge of the corporate banking data and application landscapes.

What we'll offer you

As part of our flexible scheme, here are just some of the benefits that you'll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities

Strategic Leadership & Automation Architecture:

• Define and drive the overall AI test automation strategy and roadmap for Corporate Bank Technology, aligning with broader organizational goals and industry best practices.
• Define and own end-to-end test automation architecture across UI, API, Integration, Server-side, and Data layers.
• Design enterprise-grade automation strategies for large, multi-vendor banking programs.
• Drive domain-agnostic automation adoption with a strong focus on banking and financial services.
• Establish automation standards, best practices, governance models, and reusable components.
• Align automation architecture with DevOps, CI/CD, and cloud-native ecosystems.

AI & Machine Learning in Test Automation:

• Lead the identification, evaluation, and implementation of AI and machine learning techniques (e.g., predictive analytics, natural language processing, anomaly detection, deep learning) to optimize test case generation, test data management, defect prediction, and test execution.
• Demonstrate a minimum of 2+ years of hands-on experience using AI/ML for test automation.
• Design and implement AI-powered solutions for intelligent test case generation leveraging Generative AI/Large Language Models (LLMs) for requirements understanding and test scenario creation.
• Architect and deploy self-healing automation frameworks that use AI to automatically adapt to UI changes and application updates.
• Develop AI-driven test optimization strategies, including risk-based testing, by analyzing historical data, code changes, and production telemetry.
• Implement predictive defect analytics using machine learning models to identify high-risk areas in the codebase and prioritize testing efforts.
• Utilize anomaly detection algorithms to identify subtle defects in system behavior, performance, and data integrity that traditional testing might miss.
• Leverage AI/ML models to reduce test maintenance and execution time.
• Explore and integrate AI-powered visual testing tools for UI automation to detect visual regressions and inconsistencies.

Hands-on Automation Development:

• Design and develop scalable, robust, and maintainable AI-driven test automation frameworks and solutions that integrate seamlessly with existing systems and processes.
• Provide deep hands-on expertise in Python and Java for building and enhancing automation frameworks.
• Architect and implement best-in-class API automation frameworks (REST, SOAP, async messaging).
• Design server-side and backend automation for core banking systems, payments, cards, lending, treasury, and relevant protocols like FIX, ISO 8583, ISO 20022, MQ, Kafka.
• Implement automation solutions supporting microservices and distributed systems.

BDD / TDD / Modern Engineering Practices:

• Champion BDD and TDD practices across delivery teams.
• Design scalable BDD frameworks using tools such as Cucumber, Behave, JBehave, or equivalent.
• Embed automation early in the SDLC to support shift-left testing.
• Enable developer-test collaboration for quality ownership.

Delivery Impact & Optimization:

• Achieve and demonstrate 80-90% reduction in testing and delivery timelines through automation.
• Drive continuous optimization of test suites, execution cycles, and infrastructure utilization.
• Measure and report automation ROI, coverage, and quality metrics to senior stakeholders.

Leadership & Stakeholder Management:

• Act as an automation thought leader for large transformation programs.
• Mentor and coach automation engineers and architects across teams.
• Collaborate with Product Owners, Developers, DevOps, and Business stakeholders.
• Influence leadership on automation investments and roadmap.

Tooling and Technology:

• Research, recommend, and implement cutting-edge AI test automation tools and technologies, fostering continuous innovation in our testing practices.
• Evaluate and integrate commercial and open-source AI/ML libraries and platforms (e.g., TensorFlow, PyTorch, scikit-learn) for building custom testing solutions.
• Stay abreast of advancements in Generative AI, LLMs, and their potential application in test data synthesis, test case generation from requirements, and intelligent test oracle development.

Risk & Compliance:

• Ensure all AI test automation solutions adhere to regulatory compliance, data privacy, and security standards within the banking sector.
• Address potential biases and fairness concerns in AI/ML models used for test optimization and defect prediction, particularly in sensitive financial contexts

Your skills and experience

Technical Skills:

• Programming:Python, Java (Expert level).Proficiency in data science libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn) is highly desirable.
• Automation Frameworks:15-18 years of progressive experience in software quality assurance and test automation, with a strong focus on architecture and strategy. Demonstrable expertise in designing and implementing complex test automation frameworks using industry-standard tools (e.g., Selenium, Cypress, Playwright, Appium, Cucumber, etc.). Expertise in API Automation (REST, SOAP, MQ, Kafka), UI Automation (where applicable), and Server-side / Integration Automation.
• AI/ML for Testing:Proven experience with AI/ML concepts and their practical application in test automation with a minimum of 2 years of hands-on experience.Specifically, hands-on experience with:
  • Generative AI / LLMs for test case generation, requirements analysis, or test data synthesis.
  • Machine Learning for predictive analytics (e.g., defect prediction, risk-based testing).
  • Computer Vision techniques for UI validation and visual testing.
  • Natural Language Processing (NLP) for understanding user stories and generating tests.
  • Anomaly detection algorithms for identifying subtle system issues.
  • Experience in developing or integrating self-healing automation components.
• Testing Practices:BDD, TDD, Shift-left Testing.
• CI/CD:Extensive experience with CI/CD pipelines and integrating automated tests into continuous integration and delivery processes (Jenkins, GitLab CI, Azure DevOps, or similar).
• Cloud & Containers:Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes, preferred).
• Version Control:Git.

Domain Expertise:

• Strong Banking & Financial Services domain knowledge.
• Experience with Core Banking Systems, Payments & Transactions, Regulatory & Compliance testing, and high-volume, low-latency systems.
• Solid understanding of corporate banking data landscapes.

General Skills:

• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication, presentation, and interpersonal skills with the ability to influence and collaborate effectively with diverse teams.
• Ability to translate complex AI/ML concepts into practical, understandable solutions for non-technical stakeholders.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Relevant certifications in AI/ML (e.g., deep learning, machine learning engineering), Advanced Test Automation, Agile, DevOps (preferred).

Key Success Indicators:

• Enterprise automation frameworks adopted across programs.
• Measurable 80-90% test effort and delivery time savings.
• Scalable, maintainable, AI-driven automation solutions.
• High stakeholder confidence and program-level quality improvements.
• Successful implementation and adoption of AI-powered test case generation and self-healing automation across key initiatives.
• Quantifiable improvements in defect detection rates and reduction in testing cycles attributed to AI/ML interventions.

How we'll support you

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

We strive for a in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.