We are seeking a senior technical leader specializing in building high-performance, interactive data visualization platforms and enterprise reporting engines. This is an expert-level role focused on creating advanced, web-based analytical applications that combine rich, interactive frontends with highly optimized, data-intensive backends and distributed query engines. You will build the bridge between LLMs/AI agents and our enterprise data layers, including Starburst, enabling AI to autonomously and securely query, analyze, and report on massive datasets.

You will own the end-to-end design and delivery of sophisticated FinTech tools used directly by investment bankers, front-office traders, and financial analysts. This requires translating complex financial workflows into intuitive, high-fidelity web interfaces. Your primary focus will be on architecting and building highly interactive, web-based analytical dashboards using Angular and React, allowing users to slice, dice, and explore massive datasets in real-time.

You will design and implement robust backend microservices (Java/Spring Boot) optimized for low-latency data retrieval, heavy aggregation, and streaming large datasets to the frontend. Furthermore, you will be responsible for designing and optimizing scalable ETL processes to manage huge volumes of financial data. This enables AI agents and LLMs to securely interface with internal databases, APIs, and reporting engines.

As a hands-on player/coach, you will deliver complex data visualizations and reporting engines while mentoring junior engineers. This includes critically reviewing and taking ownership of all AI-generated code (Java, Angular, React, SQL) to ensure structural integrity, security compliance, and production readiness,



while applying a deep functional understanding of Corporate and Investment Banking (CIB) to all projects. Strong foundation in systems analysis, design patterns, data analysis, and the full software development lifecycle (SDLC), including unit testing and CI/CD practices.

Extensive hands-on experience with Java and Spring Boot for building scalable, low-latency microservices and reactive data streaming APIs.

Frontend & Visualization: Solid, hands-on experience with Angular 19+, React, TypeScript, HTML5, and Web Sockets for building interactive, data-intensive dashboards.

Data Federation & Querying: Hands-on experience with Starburst (Trino) for querying massive, distributed datasets across federated enterprise data sources.

Databases & Data Modeling: Deep experience with relational databases (Oracle, SQL Server) and NoSQL (MongoDB), including physical/logical database design, data modeling, and performance tuning.

ETL & Data Processing: Proven experience designing high-throughput ETL pipelines and optimizing data flows for real-time reporting.

Experience building document generation engines using the Aspose suite (Aspose.Demonstrated ability to design and build custom Model Context Protocol (MCP) servers to securely connect LLMs and AI agents to enterprise data. AI-Assisted Engineering:



Hands-on proficiency with AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot) and the ability to write structured prompts and engineer high-quality context (schemas, API specs) for AI agents.

Collaboration Tools: Strong experience with GitHub for source control and Jira for project management.

Experience designing and implementing agentic AI workflows and integrating AI agents directly into CI/CD pipelines. ~ You are expected to operate as a force multiplier - directing AI agents across multiple workstreams, validating output for production safety, and coaching others to do the same. The measure of success is not lines of code written, but outcomes delivered, quality maintained, and the team's collective capability raised. Full time Primary Location Full Time Salary Range $Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening.

Our automated processing and AI do not involve relying on automatic or autonomous decision-making. 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. #

📌 VP Senior Applied AI Full-Stack Engineer (Mississauga)
🏢 Citibank (Switzerland
📍 Mississauga