Senior Generative AI & Testing Efficiency Developer, Vice President

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first‑class customer experience.

We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well‑rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride.

If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

The Senior Generative AI & Testing Efficiency Developer is a senior‑level role responsible for leading the design, development, and implementation of complex application systems. This position partners closely with technology, architecture, QA, and business teams to drive system enhancements, modernize platforms, and deliver high‑impact solutions. The role is especially focused on advancing AI‑powered and generative AI‑driven testing capabilities across the enterprise.

• Lead applications systems analysis, design, and programming activities in alignment with Citi’s enterprise architecture.

• Partner with multiple management teams to integrate systems, deploy new products, and enable process improvements.

• Resolve high‑impact, complex problems through deep analysis of business processes, system flows, and industry standards.

• Establish standards for coding, testing, debugging, and implementation.

• Develop a strong understanding of how architecture, infrastructure, and applications integrate to achieve business goals.

• Provide technical mentorship and coaching to mid‑level developers and analysts; allocate work as needed.

• Assess and manage risk in all technical and business decisions, ensuring compliance with laws, regulations, internal policies, and ethical standards.

• Design and implement AI‑powered testing solutions, including:

  • AI‑generated test cases
  • Intelligent regression selection
  • Self‑healing automation
  • Automated defect and failure analysis

• Develop and optimize LLM‑based tools for:

  • Test data generation and scenario creation
  • Requirements‑to‑test traceability
  • Predictive test failure analysis

• Embed generative AI capabilities into existing automation frameworks (e.g., Selenium, Playwright).

• Implement advanced GenAI techniques such as prompt engineering and Retrieval‑Augmented Generation (RAG) to enhance testing intelligence.

• Integrate AI‑driven testing accelerators into CI/CD pipelines to reduce cycle time and improve stability.

• Support deployment, scalability, monitoring, and optimization of AI models in production environments.

• Contribute to real‑time and streaming AI systems that enable continuous testing and rapid feedback loops.

• Ensure compliance with Responsible AI principles, data privacy requirements, governance standards, and quality controls.

• Stay…