AI-First Full Stack Engineer - Vice President

AI-First Full Stack Engineer - Vice President We are seeking a highly experienced and technically proficient AI-First Full Stack Engineer to join our team in Mississauga. This is a critical senior-level individual contributor role for a deep technical expert who will pioneer the integration of Artificial Intelligence into our software development lifecycle. The ideal candidate is a passionate, hands‑on engineer who operates with a high degree of autonomy to solve complex problems, set technical direction, and mentor other engineers through influence and example, without direct managerial responsibilities. You will be instrumental in translating complex business challenges in the financial domain into robust, scalable, and high-performance applications built using an AI‑augmented approach. Key Responsibilities Lead end‑to‑end design, architecture, and hands‑on implementation of complex full‑stack applications. Strategically embed AI‑powered tools such as Devin, GitHub Copilot, Codex to accelerate development, automate complex tasks, and validate architectural patterns. Drive a culture of quality through disciplined Spec‑Driven Development, test‑driven and behavior‑driven development, using AI to generate intelligent test cases and automate quality gates. Provide deep expertise in modern application architecture, designing for cloud readiness using 12‑Factor App principles and microservice patterns to build scalable and resilient systems. Act as a primary subject matter expert in modern software engineering. Provide technical leadership and guidance to the team, fostering best practices in AI‑augmented development and scalable system design through code reviews, technical discussions, and collaborative problem‑solving. Contribute to the strategic vision for AI in engineering by researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge, embracing an agile, iterative mindset that avoids big upfront design. Mastermind database interactions across Oracle and MongoDB, employing AI to analyze query performance and recommend optimizations. Work across the entire stack to resolve high‑impact problems through in-depth evaluation of business and system processes. Qualifications & Experience 6+ years of experience in software engineering, with at least 6 years in a senior or lead role delivering complex enterprise‑grade applications. Demonstrated success building and deploying applications in financial services, banking, or capital markets domains. Proven experience leading technical implementations and mentoring other engineers in a senior individual contributor capacity. Strong communication and stakeholder management skills, with the ability to articulate complex technical concepts to diverse audiences. Advanced degree (or equivalent experience) in Computer Science, Engineering, or related quantitative field is preferred. Must-Have Engineering & Technical Acumen Deep practical knowledge of designing for cloud readiness, including microservice architecture, 12‑Factor App principles, and modern design patterns. Proven experience championing Spec‑Driven Development, Test‑Driven Development, and Domain‑Driven Design within an agile environment. Mastery of core backend stack: Java (JDK 17/21) and core Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Cloud). Hands‑on experience with modern front‑end UI frameworks such as Angular, using TypeScript/JavaScript to build intuitive user interfaces. Strong hands‑on experience with relational (Oracle, SQL) and NoSQL (MongoDB) databases. Proficiency with CI/CD pipelines such as Harness or Jenkins, containerization with Docker, and container orchestration platforms OpenShift and Kubernetes. Demonstrable hands‑on experience using and integrating AI development tools such as Devin, GitHub Copilot, Claude, Codex into the software development lifecycle for tasks like code generation, debugging, and documentation. Strong understanding of concepts underpinning modern AI tools (LLMs, prompt engineering, Retrieval‑Augmented Generation, MCP, A2A) and a clear vision for leveraging them to transform engineering productivity and quality. What Success Looks Like AI‑powered tools and best practices are deeply and effectively embedded into the team’s daily engineering workflow. A measurable increase in developer velocity, code quality, and time to market for the team’s projects. You are the go‑to expert for AI‑augmented development, actively mentoring and elevating the team’s capabilities. The successful delivery of complex, full‑stack financial applications built with a quality‑first, AI‑augmented approach. Why Join Us? Shape the future: redefine how software is built at a global financial institution, setting the standard for AI‑augmented engineering. High‑impact role: enjoy significant autonomy and visibility as you lead a critical technical transformation from the front line. Culture of excellence: join a team that values and invests in technical craftsmanship, continuous innovation, and modern engineering principles. The best of both worlds: work at the intersection of cutting‑edge AI, modern software engineering, and the high‑stakes world of finance. 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. #J-18808-Ljbffr Citi