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Lead applications systems analysis and programming, ensuring integration of functions, resolving complex business and system processes, and managing mid-level developers.

Develop and implement high-performance Java applications for financial risk calculations, utilizing multithreading and data management skills while providing L3 support.

Lead design and development of scalable full-stack applications using Java, Angular, microservices, and event-driven architectures. Integrate and deploy agentic AI/GenAI/LLM solutions for M&A use cases, architect resilient systems, implement CI/CD and cloud/container platforms, promote engineering best practices, and mentor teams across the SDLC while partnering with Architecture, Security, Risk, and Business stakeholders.

Lead design, development, and maintenance of enterprise-grade Generative AI platforms and services using Python, Node.js, and TypeScript. Architect scalable AI integrations, work with data science and business stakeholders, deploy GenAI products, enforce coding and testing standards, mentor engineers, and ensure governance, risk, and operational best practices across Citi's GenAI ecosystem.

The Senior Market Data Platform Engineer will design and implement a low-latency market data distribution platform, focusing on performance optimization, architectural decisions, and collaboration with global teams, particularly in Equities trading.

Lead architect and hands-on engineer designing enterprise-grade agentic AI systems. Build scalable, fault-tolerant LLM, RAG, and multi-agent solutions; design data pipelines, MLOps, deployments, observability, and governance; mentor engineers and influence product/platform strategy.

Design, develop, and implement production microservices and applications. Integrate generative AI (LLMs, RAG, AI agents) into services, apply DDD/CQRS/event sourcing, ensure secure coding and secrets management, support databases (Postgres, Oracle, MongoDB, Redis), advise stakeholders, and provide coaching and operational support throughout the SDLC.

The role involves designing and developing time-series analytics platforms, ensuring performance under low latency, and collaborating with global trading teams to implement analytics and data models.

Lead applications systems analysis and development for new or revised systems. Partner with management to define enhancements, resolve complex problems, ensure architecture compliance, develop coding/testing standards, mentor mid-level developers, and drive project delivery while managing risk and regulatory compliance.

Lead architecture and hands-on development of a scalable, secure agentic AI platform for financial analytics. Drive LLM/agent integration, cloud-native microservices, CI/CD, observability, and compliance. Partner with product and enterprise teams, mentor engineers, and measure platform KPIs to deliver business impact in banking.