The Senior GenAI Engineer - Solutions Architecture at Citi 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 technical authority responsible for shaping the architectural vision for Generative AI systems. The role involves translating complex business challenges into scalable and compliant AI-powered systems. Ideal candidates will have a strong background in software engineering and a passion for innovation in technology.

• 5+ years of 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 such as Java or 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 at scale.
• Strong understanding of enterprise security postures, including prompt injection defense and compliance-driven software development lifecycles.
• Developed communication and diplomacy skills to guide, influence, and persuade colleagues and stakeholders.
• 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.

• 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 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.

• Citi offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.