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Job Overview
Why This Role Matters
Join Citi Finance Technology to lead the design and development of a next-generation AI-powered Adjustment Platform. As a Full Stack Technical Lead, you will architect and build scalable front-end and back-end solutions using up-to-date technologies, while leveraging Agentic AI, Generative AI, NLP, and conversational AI to transform finance operations. Collaborate with global Finance, Risk, and Engineering teams to deliver secure, high-impact, enterprise-grade applications.
About the Platform
The Intelligent AI-Powered Adjustment Platform is a strategic transformation initiative designed to reimagine finance adjustment processing through automation and intelligence. As the technical lead, you will architect and build a platform that:
- Orchestrates agentic AI workflows to automate complex, multi-step adjustment processes end-to-end.
- Delivers conversational (chat-based) experiences that let users initiate, review, and resolve adjustments naturally.
What Makes This Role Exciting
- Build the future — architect a greenfield, AI-native platform for a major finance transformation initiative.
- Agentic AI at the core — design intelligent, autonomous workflows powered by NLP, chat, and Generative AI.
- Cross-domain exposure — data, risk, and finance across Wholesale and Retail businesses.
- Modern engineering culture — TDD, CI/CD, observability, cloud, microservices, and DevOps done right.
What You'll Do
Engineering and Architecture
- Architect and build the Intelligent AI-Powered Adjustment Platform from the ground up as a strategic finance transformation initiative.
- Design and implement agentic AI workflows that automate complex,
multi-step finance adjustment processes.
- Design enterprise-grade, highly scalable, resilient full-stack applications across all layers of the stack.
- Drive API-first design and microservices ecosystems that are robust, secure, and maintainable.
AI-Enabled Innovation
- Build and integrate NLP-driven capabilities — intent recognition, entity extraction, classification, and summarization — to process adjustment requests intelligently.
- Deliver conversational AI / chat experiences powered by Large Language Models (LLMs).
- Pioneer the adoption of Generative AI across the engineering lifecycle — from AI-assisted coding (GitHub / Microsoft Copilot, Devin) to AI-driven testing, code review, and documentation.
Leadership and Strategy
- Coach, mentor, and grow a high-performing team; manage performance and development.
- Partner and negotiate with senior technical and business leaders across functions and with external parties.
- Make sound, evaluative judgments in complex, ambiguous situations using multiple sources of information.
What You'll Bring
Must-Have Skills
- 9+ years in application development or systems analysis, with strong experience architecting enterprise-scale applications.
- Strong Experience in Architecting and implementing Enterprise highly scalable applications in production environment.
- Deep full-stack expertise: React, TypeScript, Node.js, modern stylesheets / CSS, and Java
- Strong hands-on experience designing modern UI frameworks with React, including conversational or chat-based interfaces.
- Robust API development and ecosystem experience.
- Hands-on experience with Java / Spring / Spring Boot / Spring Cloud / Spring Data JPA / Microservices.
- Strong test-driven development discipline: Jest, Cypress, JUnit, Mockito.
- Solid troubleshooting skills (debuggers, logs, profiling).
- Containerization and orchestration: OpenShift, Docker, Kubernetes.
- CI/CD and build tooling: Jenkins, Tekton, UDeploy, Harness, NPM, Maven, Gradle.
- Databases: SQL databases, MongoDB, Oracle.
- Experience in Financial Services or large, complex, global environments.
- Excellent written and verbal communication.
AI and Intelligent Platform Skills (Strongly Preferred)
- Practical experience with NLP techniques — intent detection, entity extraction, classification, summarization.
- Experience building conversational AI / chatbot experiences powered by LLMs.
- Generative AI fluency — hands-on with GenAI productivity and coding tools (Microsoft Copilot, Devin, and similar).
Additional Nice-to-Haves
- Observability and monitoring tech stacks (metrics, logging, tracing).
- Middleware and streaming: Tibco RV / EMS, Solace, Kafka.
- Familiarity with low-code automation platforms.
Education
- Bachelor's / University degree or equivalent experience.
- Master's degree preferred.
Ready to build finance technology that thinks smarter, ships faster, and scales globally? Please Apply!
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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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.
📌 Java Full Stack Engineering Lead - Vice President (Pune)
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