Citi Group Gen AI Application Development Tech Lead Analyst- VP- Hybrid 

United States, New Jersey 

859758331

• Design and architect end-to-end capabilities on the GenAI platform that interacts with the LLMs with a focus on scalability, reliability, and performance
• Provide technical guidance to junior members of the team
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Resolve variety of high impact problems/projects through in-depth evaluation of available LLMs
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• 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.

• Ideal candidate has 6+ years of relevant experience in hands on Applications Design, Development, Architecture, and Analysis.
• Experience with GenAI
• Extensive experience in system analysis and in programming of software applications
• Strong and extensive full stack programming skills in Java (and/or Kotlin), Python, and DB programming.
• Experience with CI/CD DevOps tools (such as, Jenkins, UDeploy, Tekton, Harness)
• Good understanding of micro services architecture. Ability to self-learn new technologies as required on the job.
• Experience in managing and implementing successful projects
• Subject Matter Expert (SME) in at least one area of Applications Development
• Ability to adjust priorities quickly as circumstances dictate
• Demonstrated leadership and project management skills
• Consistently demonstrates clear and concise written and verbal communication
• Implementation experience with Langchain and RAG architecture
• Experience with VectorDB

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

Anticipated Posting Close Date:

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