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Job Overview : About the Role : 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;).

Responsibilities :(Leveraging AI)**

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.

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.

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 explicit 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 safegua

📌 Ai + Application Dev Tech Lead / Architect - Vice President (Pune)
🏢 Citi
📍 Pune