About The Position

About Citi: 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 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 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 and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together. The Role: The Senior GenAI Engineer - Solutions Architecture is a strategic, senior-level role focused on designing and deploying advanced AI solutions within a highly regulated enterprise environment. This position serves as a recognized technical authority, responsible for shaping the architectural vision and directional strategy for Generative AI systems. The role involves translating complex business challenges into scalable, secure, and compliant AI-powered systems, ensuring they align with enterprise blueprints and contribute to the firm's competitive edge in the market.

Requirements

  • 5+ years' experience in software engineering, with a minimum of 3+ years dedicated to scalable machine learning, LLMOps, or Generative AI systems in a highly regulated enterprise environment.
  • Expert-level proficiency in Python and a strong command of a compiled, object-oriented language (e.g., Java, C++).
  • Deep practical knowledge of LLM orchestration, embedding models, vector database architecture, and advanced evaluation techniques for hallucination reduction.
  • Proven track record of modernizing legacy architecture and deploying distributed, containerized machine learning pipelines (e.g., Docker, Kubernetes) at scale.
  • Strong understanding of enterprise security postures, including prompt injection defense, dynamic data masking, and compliance-driven software development lifecycles.
  • Developed communication and diplomacy skills to guide, influence, and persuade colleagues and stakeholders.
  • Sophisticated analytical thought to resolve issues in a variety of complex situations.
  • Demonstrated ability to manage multiple activities, prioritize effectively, and meet tight deadlines.
  • A self-starter with the initiative to master new tasks and technologies quickly, exhibiting a methodical approach and strong attention to detail.

Nice To Haves

  • Master's degree is considered a plus.

Responsibilities

  • Design, build, and deploy highly optimized Retrieval-Augmented Generation (RAG) and Context Engineering pipelines.
  • Develop and implement sophisticated workflow agents and enterprise-integrated autonomous agents capable of recursive reasoning and autonomous task delegation.
  • Execute the architectural vision for IT systems through major, complex architecture projects, ensuring conformance to enterprise standards.
  • Develop and maintain technology roadmaps, staying current with emerging technologies and recommending strategic business directions.
  • Provide technical leadership across teams and act as an advisor or mentor to junior team members.
  • Translate complex business problems into sound, scalable technical solutions.
  • Seamlessly integrate with existing APIs, tool sets, and data stores to create and utilize vector stores, knowledge graphs, and LLM knowledge bases.
  • Establish robust governance frameworks, including logging, explainability, and custom evaluation pipelines using paired benchmarks to ensure AI quality and reliability.
  • Ensure all AI deployments eliminate reasoning drift, prevent data leakage, and support critical regulatory delivery dates.
  • Provide integrated systems planning and recommend innovative technologies to enhance current systems.
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Benefits

  • In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
  • Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
  • Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.
  • For additional information regarding Citi employee benefits, please visit citibenefits.com.
  • Available offerings may vary by jurisdiction, job level, and date of hire.
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