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Citi Logo Citi · IT - Software Development

Senior Vice President - AI Lead Engineer - Banking Technology

India, Pune · Job Posted June 28, 2026
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Job Description

Citi's Banking Technology organization is seeking an exceptional full stack hands-on AI Engineer to lead the design, development, and deployment of cutting-edge AI solutions for the banking sector. This pivotal role involves architecting and implementing a scalable agentic AI framework, translating complex ideas into robust, production-ready systems, and driving tangible business value within Citi. The ideal candidate will be a hands-on technical leader with deep expertise in AI principles, agent-based systems, machine learning, and advanced software engineering practices.

Job Responsibility

  • Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions for critical banking use cases, ensuring high performance, reliability, and security
  • Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions
  • Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments to achieve continuous improvement and quick 'time to value'
  • Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization and behavioral improvement
  • Proactively explore, prototype (POC), and integrate the latest advancements in AI, particularly in agent-based systems, autonomous AI, and generative AI technologies
  • Provide hands-on technical leadership, guiding architectural decisions, and fostering collaboration with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate and scale AI solutions across Citi's products and services
  • Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders

Requirements

  • Deep hands-on experience in engineering and executing scalable enterprise solutions
  • Expert-level proficiency in Python (e.g., FastAPI, Django, Flask, PySpark)
  • Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
  • Hands-on experience with relevant frameworks (e.g., Google ADK, LanGraph, LangChain, AutoGen, CrewAI, N8N)
  • Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
  • Proven experience in creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems
  • Deep familiarity with large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama, including their application within agentic systems
  • Demonstrated experience in designing and implementing robust APIs for AI services
  • Proficient in software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and code reviews
  • Strong understanding of agile methodologies, application resiliency, and security principles applied to complex AI projects
  • Proven expertise in system design, application development, and ensuring operational stability for AI initiatives
  • Deep experience with application and data architecture patterns and designs
  • Experience leveraging managed services and existing platforms, with a strong emphasis on API-First Design, microservices, and event-driven architectures
  • Hands-on experience with Docker and Kubernetes
  • Excellent analytical and innovative problem-solving skills, with a pragmatic and creative approach to overcoming complex technical challenges
  • Proficiency in database technologies, such as Oracle, Postgres, or MongoDB
  • 10+ years of progressive software engineering experience with a strong emphasis on hands-on coding, demonstrating a proven track record of rapid delivery and successfully launching multiple AI features into production environments
  • Minimum 3+ years of dedicated professional experience in software development focused on AI, prompt engineering, machine learning, Generative and/or agentic AI systems
  • Strong hands-on experience with architecting and delivering enterprise scale AI projects
  • Motivated self-starter with the ability to quickly learn new skills and effectively navigate complex organizational structures
  • Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, Robotics, or a related quantitative field
  • a Master's degree is preferred

Nice to have

  • Proficiency in UI (e.g., Angular, React, Next.js, Node.js, TypeScript) for full-stack development
  • Java (e.g., Spring Boot, Spring Cloud, Spring Security)

What we offer

  • Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance
  • Learn About Global Benefits
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