Lead Python AI Engineer, Agentic Systems

Overview As a Senior Python-AI Engineer, you will design and deploy production-grade Agentic AI systems for Funds Transfer Pricing and Financial Hedging. You will own multi-agent architectures from concept to global deployment, driving automation and decision intelligence in critical financial workflows. Collaborating with engineers across teams, you’ll apply AI research to real business challenges and shape scalable, low-latency solutions. This role offers high visibility in Citi's AI modernization effort and the chance to advance enterprise AI capabilities at scale. Compensation / Benefitshybrid work modelcontinuous learning and professional developmenthigh-visibility impact on global initiativescompetitive compensation and benefitswellbeing and family support programsglobal-scale technology projects ResponsibilitiesDesign and build multi-agent systems for collaborative problem solving across financial platformsDevelop and optimize Retrieval-Augmented Generation (RAG) architectures with embeddings, vector databases, and retrieval pipelinesImplement planning and reasoning using knowledge graphs, rule-based reasoning, and search to enable multi-step workflowsCreate resilient agent architectures with error recovery and self-correction for production reliabilityIntegrate LLMs, predictive models, and reasoning frameworks into agent systems for complex decision-makingBuild APIs, tools, and microservices to connect AI capabilities with enterprise applications at scaleOptimize AI systems for low latency and high throughput (streaming, caching, token optimization)Mentor junior engineers and contribute to technical leadership across projects Key requirements7+ years in software development and system design with large-scale production experienceProficiency in Python and SQL with production-quality Agentic AI solutions using LangChain, LlamaIndex or equivalentExperience with multi-agent frameworks (Google ADK, LangGraph, AutoGen, CrewAI) including planning, reasoning, memory systemsApplied knowledge of LLMs in agentic architectures and API design for AI servicesAdvanced Prompt and Context Engineering for high-quality model performanceExperience with Vector Databases for AI retrieval/memory architecturesleadership and mentorshipcross-functional collaborationproblem solving with a business focusLangChainLlamaIndexGoogle ADK