This is a professional role responsible for architecting, designing, and leading the development of innovative and scalable solutions for Retail Bank business with a close focus on generative AI capability based solutions. The overall objective is to leverage technical expertise and skills to drive the execution of key AI initiatives. **Responsibilities:** + Lead analytics to deepen core areas for Retail Bank business through different analytical solutions with a focus on leveraging Generative AI capabilities to enhance productivity and build highly customized solutions. + Architect, design, and lead the development of production-grade Generative AI applications and complex Agentic solutions. + Evaluate different agentic architectures and evolving industry practices to select the optimal approach for business problems. + Design and implement agent training, performance measurement, correction, and feedback processes, and create/articulate new architectural options. + Ensure solutions meet stringent compliance, security, and performance management standards. + Collaborate with and advise business stakeholders on the scope and capabilities of Generative AI solutions. + Mentor other data scientists in the team, training them in advanced Agentic solution development and software engineering best practices. **Qualifications:** + 2-4 years of overall experience with preferred experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions. + Mastery of Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native architectures (Kubernetes). + Expert-level understanding of Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops. + Strong experience in architecting and designing highly scalable, available, and performant technology solutions. + Deep expertise in Agent training, performance measurement, and feedback processes. + In-depth knowledge of compliance, security, and performance management in a production environment. **Education:** + Bachelor's/University degree and relevant experience; Master's degree preferred in Computer Science, AI, Engineering, or a related quantitative field. ------------------------------------------------------ **Job Family Group:** Decision Management ------------------------------------------------------ **Job Family:** Business Analysis ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ _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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi’s_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.