Collections GenAI Engineering Group Manager, SVP
AI summary of the role
Lead the design and deployment of generative AI solutions for Citi's Collections technology team, part of Consumer Operations Technology.
What you’ll do
- Architect end-to-end generative AI solutions including chatbots, agentic workflows, and AI-assisted decision platforms.
- Lead engineering of LLM pipelines with open-source models (Llama, Mistral, Gemma) and Google Vertex AI.
- Build and maintain RAG pipelines using vector databases like Pinecone, Milvus, and Chroma.
- Design AI governance frameworks with guardrails, deterministic controls, and hallucination detection.
What you’ll bring
- 10+ years in application development/engineering with focus on AI/ML in production.
- Deep expertise in LLM architectures, embedding models, and orchestration frameworks (Google ADK, LangChain).
- Hands-on experience with open-source LLMs and enterprise AI platforms like Google Vertex AI.
- Expert-level Python with PyTorch, Hugging Face, Pandas, NumPy, FastAPI, Flask.
Technologies
Generative AI · LLM · RAG · Llama · Mistral · Gemma · Google Vertex AI · Pinecone · Milvus · Chroma · NeMo Guardrails · Llama Guard
About Citigroup
Global bank serving institutions, governments, investors and consumers across payments, markets, banking, wealth and U.S. cards.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
together. Position Overview Citi is looking for a Principal Generative AI Engineer to lead the design, development, and deployment of intelligent operations and automation platforms within the Collections technology team, part of Consumer Operations Technology division. In this senior role, you will set the technical direction for generative AI solutions from LLM orchestration and RAG pipelines to AI governance frameworks, ensuring our AI capabilities meet the highest standards of security, compliance, and reliability in financial services. This is a high-impact opportunity to shape how Citi applies cutting-edge AI at scale, working alongside senior technology leaders across a global organization. Responsibilities Architect and deliver end-to-end generative AI solutions for intelligent operations, including advanced chatbots, agentic workflow automation, and AI-assisted decision
More from the job description
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. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our 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 fo [... source excerpt omitted ...] nt, and deployment of intelligent operations and automation platforms within the Collections technology team, part of Consumer Operations Technology division. In this senior role, you will set the technical direction for generative AI solutions from LLM orchestration and RAG pipelines to AI governance frameworks, ensuring our AI capabilities meet the highest standards of security, compliance, and reliability in financial services. This is a high-impact opportunity to shape how Citi applies cutting-edge AI at scale, working alongside senior technology leaders across a global organization. Responsibilities Architect and deliver end-to-end generative AI solutions for intelligent o [... source excerpt omitted ...] ernance frameworks, including guardrails (NeMo Guardrails, Llama Guard), deterministic controls, semantic routing, and hallucination detection systems to ensure safe and compliant production AI. Deploy scalable, cloud-native AI infrastructure using Python, Docker, Kubernetes, and OpenShift, supported by robust CI/CD pipelines for continuous delivery. Apply deep knowledge of financial services technology to ensure all AI models meet strict risk management, auditability, and data security standards aligned with regulatory requirements. Partner with senior technology leaders and cross-functional teams to translate complex business challenges into production-ready AI solutions, sett
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