Citi—Lead Generative AI Engineer - Python and LangChain

Job description

Description: This is a 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: - 4-7 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. View Citi’s EEO Policy Statement and the Know Your Rights poster.