Risk Modeling Solutions - GenAI - Vice President

Навыки

• AI-агенты
• AI-инструменты в работе
• API (интеграции)
• AWS
• Azure
• CI/CD
• Отладка и поиск ошибок

Задачи

• GEN AI Tech Lead - Model/Anlys/Valid Officer (C13)
• The AI Lab is the engineering core of our Risk Modeling Solutions (RMS) team, focused on integrating Gen AI solutions into our risk management framework
• The team is responsible for building and deploying practical, high-impact applications that combine deep quantitative analysis with cutting-edge AI
• These solutions enhance analytical decision-making, automate complex reporting, and create significant operational efficiencies for the business
• The responsibility includes but not limited to the following activities
• Architect Agentic Systems: Design and lead the implementation of complex, multi-agent AI workflows capable of advanced reasoning, planning, and autonomous execution using frameworks like LangGraph, CrewAI, and Google ADK
• Solution Design & Development: Translate complex business problems within the risk domain into well-defined technical requirements, and develop robust, end-to-end AI solutions to address them
• LLM Orchestration: Build and optimize retrieval pipelines, memory layers, and tool-use sequences using frameworks like LangChain
• Backend & API Engineering: Develop robust, scalable Python-based microservices and REST APIs using FastAPI to expose AI capabilities
• RAG Implementation: Construct and refine Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, embedding, and vector search integration with databases like Azure AI Search or Pinecone
• Containerization & Deployment: Package AI services using Docker and deploy them on Kubernetes, contributing to CI/CD pipelines for smooth and reliable releases
• Observability & Evaluation: Instrument AI workflows using platforms like Langfuse for tracing and debugging
• Implement and maintain evaluation harnesses to ensure model quality and performance

Требования

• 10+ years of professional experience in a role blending software development and data science/machine learning
• Expert-level Python development skills and a proven track record of designing and building scalable backend services and APIs (FastAPI preferred)
• Deep, hands-on experience designing and building solutions with multiple agentic frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel)
• Extensive experience architecting and optimizing RAG systems and integrating with vector databases (e.g., OpenSearch, Pinecone, Weaviate)
• Proven expertise in designing and deploying containerized (Docker/Kubernetes) AI systems on a major cloud platform (AWS, Azure, or GCP)
• Strong experience implementing MLOps principles, including CI/CD, observability, and evaluation frameworks for LLM-based systems
• Proven ability to design and implement cost-effective AI architectures, with a deep understanding of tokenomics, model-tiering strategies, and caching for performance and budget management
• In-depth understanding of AI risk, safety, and enterprise governance requirements
• Strong background in ML, deep learning, and NLP, including Transformer architectures
• Hands-on expertise with AWS Bedrock, Azure AI Foundry, or GCP Vertex AI
• Bachelor's degree in Computer Science, Engineering, Business, or a related field

Будет плюсом

• Experience leading the design of LLM evaluation harnesses for automated release validation
• Deep experience with Langfuse or similar AI observability and tracing platforms
• Knowledge of GraphRAG patterns and advanced multi-hop retrieval strategies
• AWS certifications (e.g., Solutions Architect, AI/ML Specialty) or equivalent
• Background in financial services or another highly regulated industry
• Education
• This is a Individual contributor role
• Job Family Group: Risk Management
• Job Family: Model Development and Analytics
• Time Type: Full time
• Most Relevant Skills Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle
• Other Relevant Skills For complementary skills, please see above and/or contact the recruiter
• 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
• If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi
• View Citi’s EEO Policy Statement and the Know Your Rights poster

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