Python Development Operations Engineer Vice President

Overview of Citi:

Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 100 countries andjurisdictionsworldwide. We provide 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. We enable clients to achieve their strategic financialobjectivesby providing them with cutting-edgeideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.

Overview of the organization:

TheCOOEnterprise Solution Engineering capability is responsible for the development of best-in-class technology platforms for

Operations, including development of an integrated portfolio of Operations tools,end-to-endsolutiondesignforlarge scale transformation initiatives, design governance, and adoption of Generative AI solutions for driving operational efficiencies.

Role:

This role is for an innovative

Full Stack Engineertohelpthebuild out of solutions thatcompriseofagentic flows&application integration, focusing on process efficiencies, automation, simplification, and risk reduction across enterprise business solutions. The successful candidate will contribute to the technical direction of products and services,instil engineering best practices, and promote cultural change within the organization. This position involves close collaboration with various technology teams to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes, and to develop partnerships with third-party providers forvalidatingand adopting best-of-breed solutions.

• Contribute significantly to engineering& deliveryofend-to-end solutions.
• Adopt a product-focused approach, ensuring the development of robust, scalable, and user-friendly solutions.
• Thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems.
• Actively engage in pair programming, promote lean methodologies, and streamline processes by removing unnecessary bureaucracy.
• Prioritize rapid delivery and iterative development,demonstrating adaptability and a willingness to pivot rather than pursuing a perfect upfront solution.
• Develop foundational components and mature technology capabilities in Artificial Intelligence (AI) and Large Language Models (LLMs).
• Drive the enterprise-wide adoption and successful integration of Generative AI solutions.
• Demonstrate strong problem-solving capabilities and a proactive learning mindset, continuouslyacquiringnew skills.
• Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders.
• Be adaptable and resourceful in navigating complex technical and organizational challenges

• 6+ hands-on experience in engineering and executing enterprise solutions that scale effectively.
• 5+ years experience and fluency in at least two programming languages, with a strong preference forPythonand
  
  Java.
  
  Proficiency in Java script/Typescript and Golangis also highly valued.
• 3+ years experience in financial services, technology firms, or dynamic start-up environments.
• 3+ years experience and good understanding of Language Models (LLMs),transformers,agentic frameworks,vector stores, andsearch algorithms.
• 3+ years experience with relevant frameworks such as Spring(AI, Boot, Core, etc.),Flask,Lang Chain,Lang Graph, andMLFlow.
• 3+ years experience and proficiency in database technologies,such as Oracle,Postgres,orMongoDB.
• Experience with messaging and integration platforms like
  
  KafkaorJMS/MQ.
• UI development skills with technologies such as React JSor Stream Lit .
• Experience designing and implementingRESTand Web Socket APIs.
• Familiarity withone of themajor cloud platforms including AWS,GCP, or Azure/
• Strong knowledge of infrastructure tools, including
  
  Docker,Kubernetes,Terraform, andHelm.
• Experience with build and deployment(CI/CD) tools such asJenkinsand
  
  Gradle.
• Strong engineering experience with high-performance, large-scale distributed systems
• Experience using AI coding assistants such as CoPilot or Devin.
• Strong hands-on experience with Agile delivery, product management, and value stream methodologies.
• Proven track recordin producing high-quality project artifacts.
• Demonstrated abilityto drivethedesign,development&implementation of scalable systems.
• Motivated self-starter with the ability to quickly learn new skills and effectively navigate…