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.
Position Overview:
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:
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 current with emerging trends in generative AI and test automation; evangelize best practices across the organization.
Mentor junior engineers and QA automation developers on AI-assisted testing methodologies.
Strong hands-on experience with LLM development, fine-tuning, and optimization.
Expertise in RAG systems, hybrid search, and vector retrieval.
Proficiency with ML frameworks such as PyTorch, TensorFlow, and Keras, including distributed training.
Experience with GenAI tools and libraries including LangChain, LlamaIndex, LangGraph, Crew.ai, Autogen, Hugging Face, and cloud GenAI APIs (e.g., OpenAI, Claude, Gemini).
Strong understanding of test automation frameworks (Selenium, Playwright).
Experience integrating AI capabilities into testing pipelines (AI-generated tests, self-healing scripts, test impact analysis).
Solid knowledge of CI/CD systems with a focus on continuous testing.
Familiarity with QA methodologies, test strategy, functional and non-functional testing, and quality metrics.
Advanced Python skills for automation tooling, data preprocessing, API development, and AI workflows.
Experience with containerization and deployment technologies (Docker, Kubernetes).
Practical knowledge of model optimization techniques.
Strong understanding of AI governance, model guardrails, testing risk frameworks, and Responsible AI practices.
Excellent collaboration and communication skills, with the ability to explain AI-driven testing strategies to both technical and non-technical audiences.
Analytical, proactive mindset with a passion for experimentation, innovation, and mentoring.
6+ years of relevant experience in applications development or systems analysis.
Extensive experience in systems analysis and software application development.
Proven success leading and delivering complex projects.
Subject Matter Expert (SME) in at least one area of applications development.
Demonstrated leadership, adaptability, and project management skills.
Consistently strong written and verbal communication skills.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Technology
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Applications Development
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Full time
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Irving Texas United States
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$125,760.00 - $188,640.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Please see the requirements listed above.
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Artificial Intelligence (AI), Java (Programming Language), Large Language Models (LLMs), Machine Learning (ML), Playwright (Software), Python (Programming Language), QA Automation, Selenium, Software Development.
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Jul 10, 2026
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
