Job Description
We’re currently looking for a high caliber professional to join our team as Vice President, Application Development Tech Lead Analyst (C13) based in Pune, India.
XVA Technology at Citi is undertaking a bold, multi-year transformation to build a best-in-class centralized cross asset platform risk system. We are re-engineering our technology estate to achieve world-leading performance and resiliency, enabling new capabilities. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you'll collaborate closely with high-caliber engineers and deeply engaged business and product partners - working together to define and deliver the next generation of XVA technology at Citi.
Role Overview/What will you do:
As an Applications Development Technology Lead Analyst, you will be instrumental in shaping the future of our product quality and delivery, working towards a target state of a fully automated platform with minimal manual QA intervention. This role specifically requires deep expertise in agentic AI and extensive hands-on experience in Generative AI (GenAI) projects. While a solid foundation in Machine Learning (ML) is beneficial, the successful candidate will be instrumental in architecting and implementing scalable AI frameworks, translating complex ideas into robust, production-ready systems, and contributing to Citi's strategic AI initiatives.
Key Responsibilities:
- GenAI Solution Development: 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.
- Full-Stack Application Integration: Build full-stack applications that seamlessly integrate state-of-the-art Machine Learning (ML) and Large Language Model (LLM) tools and services into comprehensive AI solutions.
- AI Advancement & Prototyping: Proactively explore, prototype (Proof of Concept), and integrate the latest advancements in AI, particularly in agent-based systems, autonomous AI, and generative AI technologies.
- Collaboration: 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.
- Code Development & Standards: Write high-quality production code, drive proof-of-concepts, and validate architectural decisions through implementation. Set technical standards, guide design choices, and raise the bar for the team.
- Deployment: Take AI-enabled capabilities from early exploration and proof-of-concept through to secure, reliable, and production deployments, focusing on cloud-native, container-first services built to scale for enterprise use.
- Performance Evaluation: Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization and behavioral improvement.
Qualifications:
- Experience: 12 to 15 years of deep hands-on experience in engineering and executing scalable enterprise solutions.
- AI Expertise: Deep expertise in AI principles, agent-based systems, machine learning, and advanced software engineering practices.
- Programming Proficiency: Expert proficiency in Python programming language is essential.
- GenAI Frameworks: Proven experience in implementing Generative AI use cases using frameworks like LangChain, AutoGen, CrewAI.
- LLM Implementation: Advanced knowledge in Large Language Models (LLM), with hands-on experience in implementing LLMs using vector databases and Retrieval-Augmented Generation (RAG), as well as tuning models. Ability to perform solution architecture validations for LLMs.
- ML & NLP: Understanding of machine learning models, experience with Natural Language Processing (NLP) libraries and tools.
- GenAIOps: Experience in putting Generative AI (GenAI) models into production and providing support to them (GenAIOps).
- MLOps: Experience using MLOps tools like MLflow for lifecycle management of machine learning models.
- Containerization: Experience in using Docker to create reproducible and scalable environments.
- Problem-Solving: Strong analytical and problem-solving skills with an aptitude for math and statistics.
- Communication: Excellent communication and collaboration skills, with the ability to engage effectively with diverse stakeholders.
- Self-Motivation: Self-motivated and capable of working independently as well as part of a team in a fast-paced environment.
- Business knowledge of CVA, XVA, regulatory stress testing is preferred
Education:
• Bachelor’s in Computer Science, Mathematics or equivalent.
• A Master’s degree in preferred
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 12 to 15 years of hands-on experience engineering and executing scalable enterprise solutions
- Deep expertise in AI principles, agent-based systems, machine learning, and advanced software engineering
- Expert proficiency in Python
- Experience implementing Generative AI use cases with LangChain, AutoGen, or CrewAI
- Advanced knowledge of LLMs, including vector databases, RAG, model tuning, and LLM solution architecture validation
- Understanding of machine learning models and experience with NLP libraries and tools
- Experience putting Generative AI models into production and supporting them through GenAIOps
- Experience using MLOps tools such as MLflow for model lifecycle management
- Experience using Docker to create reproducible and scalable environments
- Strong analytical and problem-solving skills with aptitude for mathematics and statistics
- Excellent communication and collaboration skills
- Ability to work independently and collaboratively in a fast-paced environment
- Bachelor's degree in Computer Science, Mathematics, or equivalent
- Master's degree
- Business knowledge of CVA, XVA, and regulatory stress testing
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
