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About the role
As a Senior Manager, Data Science (Generative AI) at our company, your role will involve leveraging your robust technical foundation, especially in Generative AI. You will need to have deep expertise in Deep Learning and Machine Learning algorithms, along with practical experience in Generative AI technologies and frameworks. Your specialized skills in Prompt Engineering, Retrieval Augmented Generation (RAG), Langgraph, Langchain frameworks, and Large Language Model (LLM) fine-tuning will be crucial for this position. Your responsibilities will include Generative AI solution design and implementation, as well as strong data science technical skills encompassing proficiency in programming languages like Python, experience with data manipulation tools such as PySpark, SQL, and Hive, and the ability to handle data requirements, collection, processing, cleaning, exploratory data analysis, and effective data visualization. An understanding of analytical and statistical foundations will also be required, including hypothesis testing, segmentation, predictive modeling, and performance optimization. Your leadership and management capabilities will be equally important for this role. You will be expected to lead, mentor, and develop a team of data scientists. Strategic acumen is paramount, requiring you to demonstrate strategic thinking, vision, identify emerging trends, challenge the status quo, and drive innovation to set ambitious business goals. Excellent communication and stakeholder management skills are also vital for effectively translating complex technical concepts and performance metrics for senior business audiences and ensuring strong collaboration with team members and business partners. Responsibilities: - Lead the architecture, design, and development of mission-critical, production-grade Generative AI applications and Agentic solutions, ensuring they are scalable, reliable, and secure. - Define and own the technical roadmap for AI platforms, making critical decisions on architecture, technology stacks, and long-term evolution. - Drive the strategy for designing and redesigning business processes with Agentic solutions, focusing on advanced agent architecture, memory management, hallucination control, and reinforcement learning-based feedback loops. - Lead and mentor a team of engineers and data scientists, fostering a culture of innovation and engineering excellence. - Champion and enforce best practices for compliance, security, MLOps, and Model Governance across all AI projects. - Engage with senior stakeholders to translate business needs into technical strategy and communicate technical vision and project status. - Stay at the forefront of AI research and industry trends, identifying new opportunities and technologies to drive business value. Qualifications: - 10-15 years of overall experience with a minimum of 3 years leading the development of production-ready Gen AI RAG or Agent-based solutions. - Extensive experience as a full-stack development manager or architect, with a proven track record of delivering highly scalable and reliable systems. - Deep expertise in architecting and designing complex Agentic solutions, including a rich understanding of different agentic architectures and their trade-offs. - Mastery of agent training, performance measurement, and feedback processes, with the ability to create and articulate new architectural patterns. - Strong people management skills with experience in grooming and developing engineers (mandatory for manager track). - Expertise in program/project management, Agile processes, and managing development timelines for large-scale projects. - Deep knowledge of financial services compliance, security, and performance management. - Recognized as a subject matter expert in Python, modern AI/ML frameworks, MLOps, and cloud-native technologies. Education: - Bachelor's/University degree; Master's degree highly preferred in Computer Science, AI, Engineering, or a related quantitative field. Technical Proficiency: - Hands-on experience in applied machine learning, Generative AI solutions, and Big Data technologies. - Proficiency in scripting languages (e.g., Python) and key libraries. - Strong expertise in deep learning and machine learning algorithms, especially those applicable to Generative AI, data analysis, and pattern recognition. Candidates with additional qualifications in Platform Experience, Communication skills, and Development Tools will be highly regarded. Please note that the company is an equal opportunity employer, and qualified candidates will receive consideration without regard to various personal characteristics. If you require a reasonable accommodation due to a disability, please review the Accessibility at Citi. As a Senior Manager, Data Science (Generative AI) at our company, your role will involve leveraging your robust technical foundation, especially in Generative AI. You will need to have deep expertise in D
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