Ai Lead Application Architecture - Vice President Job at Citi (Pune)

Job Description

We are seeking a highly experienced and technically proficient Sr Applied AI Engineer + Application architect to join our Investment Banking technology team. This is a critical individual contributor role focused on driving the design, development, and implementation of cutting-edge AI/ML solutions specifically tailored for our Investment Banking products, including Equity Capital Markets (ECM), Debt Capital Markets (DCM), and Mergers & Acquisitions (M&A). The ideal candidate will be a deep technical expert, capable of operating independently to solve complex problems, setting technical direction, and mentoring junior engineers through hands-on collaboration, without direct managerial responsibilities. You will be instrumental in translating complex business challenges in Investment Banking into robust, scalable, and high-performance AI systems that deliver tangible value.

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot: Utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity: Employ AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/NoSQL queries. AI-driven tools can also assist in predicting database load and recommending scaling solutions
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery: Integrate AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software:Use AI-powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document analysis, and stakeholder communication. AI can also assist in translating technical designs into accessible formats for various audiences
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning: Leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts. Encourage junior engineers to adopt AI-driven development practices
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality:Continuously explore emerging AI tools and techniques (such as Anti Gravity for complex problem-solving) and assess their applicability to our development ecosystem
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines: Utilize AI-powered code analysis tools to pre-scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing human reviewers to focus on higher-level logic and design
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems: Implement AI-driven anomaly detection in monitoring systems, leverage AI for rapid log analysis and root cause identification, and automate incident response workflows
Contribute to the strategic planning and technical roadmap for our middleware platforms: Employ AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on data-driven insights
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development: Utilize AI for data synthesis, predictive modeling for estimations, identification of potential IT risks, and accelerated model prototyping and validation
Monitor and control all phases of the development process (analysis, design, construction, testing, and implementation) and provide user and operational support: Implement AI-driven dashboards and reporting for real-time project health, automated progress tracking, and proactive identification of development lifecycle bottlenecks
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgment: Augment human analytical capabilities with AI-powered data analysis and pattern recognition to rapidly assess complex scenarios and inform robust decision-making
Recommend and develop security measures in post-implementation analysis of business usage to ensure successful system design and functionality: Use AI-driven security analysis tools to continuously monitor applications for vulnerabilities, predict potential threats, and recommend adaptive security controls
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems: Employ AI to quickly understand user pain points, simulate solution impacts, and generate clear documentation or prototypes for client review
Ensure essential procedures are followed and help define operating standards and processes: Utilize AI for automated compliance checks against defined procedures and for suggesting improvements to operational workflows based on performance data
Serve as advisor or coach to new or lower-level analysts: Provide AI-assisted guidance and training resources, offering personalized feedback and access to extensive knowledge bases
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets: Leverage AI for advanced risk analytics, scenario planning, and compliance monitoring, enhancing the accuracy and foresight of risk assessments

Requirements

15 years of relevant experience in leading Apps Development or systems design role
Extensive experience system analysis and in programming of software applications
Demonstrable exposure and practical experience with AI development
Knowledge of capital market is plus
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
Bachelor’s degree/University degree or equivalent experience
Core Java: Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals
Frameworks: Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware: Proven experience in designing and developing RESTful APIs and microservices
Relational Databases: Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures
NoSQL Databases: Experience with MongoDB, including data modeling, querying, and performance tuning
CI/CD & DevOps: Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes)
Version Control: Proficiency with Git and standard branching strategies (e.g., Gitflow)
Testing: Experience with unit testing frameworks (JUnit, Mockito) and integration testing
AI Tools & Methodologies (Must): Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex
Strong understanding of AI/ML concepts, prompt engineering, and integrating AI into software development workflows (e.g., for code generation, testing, debugging, and documentation)
A keen desire to apply AI technologies to improve software development processes and outcomes

Nice to have

Web Technologies (Beneficial): Familiarity with web services (SOAP/REST), XML, JSON
Master’s degree preferred

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Ai Lead Application Architecture - Vice President

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