Gen AI-ML Engineer, AVP

Overview of the Role Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company, designing digital architecture and ensuring our platforms provide a first‑class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well‑rounded backgrounds who bring their authentic selves to work. The Gen AI‑ML Engineer is an intermediate level position responsible for the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to application systems analysis and programming activities. Responsibilities Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI. Design and implement intelligent chatbots. Process and analyze large datasets of structured and unstructured financial data. Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain. Develop and refine advanced prompting strategies for LLMs. Test, evaluate, and analyze the performance of LLM and other GenAI models. Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management. Communicate effectively with business stakeholders. Stay up to date with the latest advancements in GenAI research and development, including areas like Agentic AI. Required Skills and Qualifications 5+ years of experience in AI/ML development with a proven track record of building and deploying sophisticated GenAI applications. Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts. Extensive experience with prompt engineering, fine‑tuning LLMs, and evaluating their performance. Expert‑level Python programming skills and proficiency with relevant libraries (Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit‑learn, Flask/Django, LlamaIndex). Experience with vector databases (Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain. Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP). Strong analytical, problem‑solving, and communication skills. Experience with MLOps principles and tools. Excellent collaboration skills. Technology Stack Programming Languages: Python (expert proficiency required) Python Packages: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit‑learn, Flask/Django, and other relevant data science, machine learning, and web development libraries. Deep Learning Frameworks: TensorFlow, PyTorch LLMs: Llama, Gemini, GPT-4, and other advanced LLMs. Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector). Cloud Platforms: AWS, Azure, GCP. MLOps Tools: MLflow, Kubeflow, or similar. Containerization: Docker, Kubernetes. CI/CD Tools: GitHub Actions, Jenkins, or similar. Version Control: Git. Data Visualization & Reporting: Tableau, Power BI, matplotlib, seaborn. Databases: SQL and NoSQL databases. Education Bachelor’s degree/University degree or equivalent experience. Job Details Job Family Group: Technology Job Family: Applications Development Time Type: Full time Primary Location: Irving, Texas, United States Primary Location Full Time Salary Range: $107,120.00 - $160,680.00 Benefits Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; wellness programs; paid time off packages such as planned vacation, unplanned sick leave, and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Equal Opportunity Statement 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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