The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.
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This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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.
ResponsibilitiesLead 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. Real-world project implementation experience is a must.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, fostering expertise in GenAI technologies and best practices, including RAG pipelines, vector databases, prompt engineering techniques, and chatbot development.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, integrating this data into GenAI pipelines.Conduct continuous research and evaluation of emerging GenAI technologies, recommending and implementing relevant solutions.Contribute directly to the codebase and make critical technical decisions, demonstrating hands-on technical leadership and expertise in GenAI implementation.Work closely with stakeholders to understand business needs and translate them into effective technical solutions using GenAI.Required Skills and QualificationsBachelor's or Master's degree in Computer Science, Engineering, or a related field.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.Preferred QualificationsExperience with financial data and applications.Familiarity with specific GenAI applications in finance.Contributions to open-source projects related to GenAI or machine learning.Technology StackProgramming Languages: Python (very strong proficiency required), potentially Java or Scala.Python Packages: Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, Requests, Beautiful Soup, SQLAlchemy, and other relevant packages for data processing, web development, chatbot development, and database interaction.Deep Learning Frameworks: TensorFlow, PyTorchGenAI Libraries/Frameworks: Transformers (Hugging Face), LangChainLLMs: Llama, Gemini, GPT-4Vector Databases: PostgresDBCloud Platforms: AWS, Azure, or GCPMLOps Tools: MLflow, KubeflowData Science Libraries: Pandas, NumPy, Scikit-learnContainerization: Docker, KubernetesVersion Control: GitDatabases: SQL databases (e.g., PostgreSQL, MySQL, SQL Server) – experience with dynamic SQL is essential.LocationPune, India
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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Other Relevant Skills
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