The GEN AI 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 GEN AI application platform and use case development.
Team/Role Overview
Services AI team builds and manages a shared AI platform and develops AI use cases.
The team drives digital transformation by enabling AI initiatives across the Services Business.
It collaborates with various internal teams and external partners.
Its dual focus on platform and product, coupled with high impact and cutting-edge technology, makes it a unique and interesting environment.
What you'll do
Lead the design and implementation of generative AI use cases, from ideation to production.
Build and tune LLM-based applications using platforms like Vertex, GPT, Hugging Face, etc.
Create robust prompt engineering strategies and reusable prompt templates.
Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases (e.g., PG Vector, Pinecone, FAISS, Chroma), and orchestration tools.
Collaborate with Tech and business teams to identify opportunities and build solutions.
Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation.
Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation.
Mentor junior team members and promote a culture of experimentation and learning.
What we'll need from you
7+ years' experience in AI-ML engineering with working knowledge of Python (Must).
Strong understanding of statistical concepts and modelling techniques including traditional and advanced ML algorithms.
Strong programming skills in Python, and familiarity with libraries like Transformers, LangChain, LlamaIndex, PyTorch, or TensorFlow.
Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases.
Understanding of MLOps / LLM Ops, model evaluation, prompt tuning, and deployment pipelines.
Experience building applications with OpenAI, Anthropic Claude, Google Gemini, or open-source LLMs.
Familiarity with regulatory requirements and guidelines related to risk model validation.
Strong communication skills and the ability to partner with both technical and non-technical stakeholders.
Education
Bachelor's degree/University degree or equivalent experience.
Master's degree preferred.
What we can offer you
By joining Citi Dublin, you will work in a business-casual workplace with a hybrid model (up to 2 days working from home per week), receive a competitive base salary (annually reviewed), and enjoy a range of benefits that support you and your family.
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.
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