Vice President - Bigdata Engineer - AI & NLP

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals
• Identify and define necessary system enhancements to deploy new products and process improvements
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in area and advanced knowledge of applications programming
• Ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets
• Drive compliance with applicable laws, rules and regulations
• Adhere to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices
• Escalate, manage and report control issues with transparency

• 13+ years of relevant experience in Apps Development or systems analysis role
• Extensive experience in system analysis and programming of software applications
• Experience in managing and implementing successful projects
• Expert in coding Python in building Machine Learning and developing LLM-based applications in a professional environment
• SQL skills able to perform data interrogations
• Proficiency in enterprise-level application development using Java 8, Scala, Oracle (or comparable database), and Messaging infrastructure like Solace, Kafka, Tibco EMS
• Develop LLM solutions for querying structured data with natural language, including RAG architectures on enterprise knowledge bases
• Build, scale, and optimize data science workloads, applying best MLOps practices for production
• Lead the design and development of LLM-based tools to increase data accessibility, focusing on text-to-SQL platforms
• Train and fine-tune LLM models to accurately interpret natural language queries and generate SQL queries
• Experience/Knowledge with Big Data Development technologies in a huge environment like 500 to 800 GB/TB/PB
• Working experience in Microservices/Kubernetes
• Good knowledge on NoSQL DB like Redis, Couchbase, HBase
• Experience working and architecting solutions on Big Data technologies
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
• Stay updated with advancements in AI and NLP to incorporate best practices and new technologies
• 5+ years of experience in leading a small to medium-size development team
• Provide technical leadership and mentorship to junior data scientists and developers
• Consistently demonstrates clear and concise written and verbal communication

Master’s degree preferred

• Global Benefits
• Best-in-class benefits to be well, live well and save well