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Citi Logo Citi · IT - Software Development

Senior Staff Generative AI Engineer - VP

United States, New York Employment contract 142320.00 - 213480.00 USD / Year · Job Posted May 14, 2026
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Job Description

Senior Staff Generative AI Engineer– VP. At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations. The Team: Innovating at Scale. Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands-on problem-solving. We're not just adopting AI; we're building the intelligence that powers our enterprise. The Role: We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real-world, commercial production systems, not just proofs-of-concept. This is an Individual Contributor (IC) role with no direct people management responsibilities. Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you.

Job Responsibility

  • Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python
  • Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes
  • Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments
  • Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption
  • Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery
  • Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks
  • Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement
  • Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability
  • Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions

Requirements

  • 10+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept
  • Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services
  • Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK
  • Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel)
  • Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift
  • Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments
  • Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems
  • Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases

Nice to have

  • Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang
  • Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask
  • Familiarity with messaging and integration platforms such as Kafka or JMS/MQ
  • Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications
  • Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions
  • A proven track record of contributing to open-source projects or publishing relevant research in AI/ML

What we offer

  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
  • Access to AI-assisted development tools like Devin and Copilot
  • Learning resources including Udemy for Business and Pluralsight
  • Flexible Work Environment: hybrid working model (3 days in-office, 2 days home)
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