GenAI Tech Lead, Citi

Citi

Location:
India, Pune

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

We are seeking a highly skilled and passionate GenAI Tech Lead to join our team in Pune, India, and play a pivotal role in advancing our AI/ML capabilities within Citi Finance projects. This technically focused leadership position demands proven experience designing, developing, and deploying real-world GenAI solutions, including chatbot development and working with both structured and unstructured data. The successful candidate will lead the implementation of cutting-edge GenAI applications for various financial use cases, leveraging very strong Python skills and expertise in areas like RAG pipelines, vector databases, prompt engineering, LLMs (Llama, Gemini, GPT-4), and dynamic SQL.

Job Responsibility:

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
appropriately assess risk when business decisions are made
lead the technical design, development, and deployment of end-to-end GenAI solutions, including chatbot development, for diverse financial applications such as personalized financial advice, fraud detection, risk management, and automated reporting
process and analyze both structured and unstructured data to train and optimize GenAI models, leveraging techniques for information extraction and knowledge representation
provide technical leadership and mentorship to a team of AI/ML engineers
champion and implement best practices for GenAI development, ensuring code quality, security, maintainability, and scalability of production-ready applications
collaborate effectively with other technical teams to seamlessly integrate GenAI solutions into existing systems and workflows
utilize dynamic SQL to efficiently query and retrieve data from relational databases
conduct continuous research and evaluation of emerging GenAI technologies
contribute directly to the codebase and make critical technical decisions
work closely with stakeholders to understand business needs and translate them into effective technical solutions using GenAI

Requirements:

6-10 years of relevant experience in Apps Development or systems analysis role
extensive experience system analysis and in programming of software applications
experience in managing and implementing successful projects
subject matter expert (SME) in at least one area of Applications Development
ability to adjust priorities quickly as circumstances dictate
demonstrated leadership and project management skills
consistently demonstrates clear and concise written and verbal communication
bachelor's degree/University degree or equivalent experience
master's degree preferred
8+ years of software engineering experience with a strong focus on AI/ML, including demonstrable experience deploying production-ready GenAI and chatbot applications
deep understanding of GenAI models and architectures, with practical experience applying these models to real-world problems
very strong Python programming skills with extensive experience using relevant packages for GenAI and chatbot development
experience processing and analyzing both structured and unstructured data, utilizing techniques like NLP and information retrieval
proven ability to design and implement RAG pipelines
hands-on experience with LLMs like Llama, Gemini, and GPT-4
proficiency in writing dynamic SQL queries for data extraction and manipulation within relational databases
experience with cloud platforms and MLOps tools
strong understanding of software engineering principles
excellent communication, collaboration, and problem-solving skills

Nice to have:

experience with financial data and applications
familiarity with specific GenAI applications in finance
contributions to open-source projects related to GenAI or machine learning

Additional Information:

Job Posted:
August 05, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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