Application Development Technology Senior Lead- Senior Vice President

As the App Dev Senior Tech Lead Analyst, you will be responsible for the technical vision, architecture, and execution of Financial Analytics applications. You will lead a world‑class technology team, while remaining deeply technical and contributing to the core development of the platform. This is a unique opportunity to blend strategic leadership with hands‑on engineering to build a product that will have a direct and measurable impact on the front lines of our business. Key Responsibilities Platform Architecture & Development: Lead the design, architecture, and hands‑on development of a scalable, secure, and resilient agentic AI platform from concept to production. Technical Leadership & Hands‑On Engineering: Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies, and infrastructure. Write code, build prototypes, and lead by example. Strategic Roadmapping: Partner closely with product management and senior business leaders in banking to define the product strategy and technical roadmap. Translate complex business needs into elegant and scalable technical solutions. Cross‑Functional Collaboration: Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain), and other AI/ML technologies to solve real‑world banking challenges. Operational Excellence: Implement and champion best‑in‑class engineering practices, including CI/CD, automated testing, infrastructure‑as‑code, and robust monitoring to ensure enterprise‑grade reliability. Business Impact: Define, measure, and report on key performance indicators (KPIs) related to platform adoption, user productivity, and the ultimate impact on business outcomes such as wallet share growth. Compliance & Security: Ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry. Qualifications & Experience Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. Experience: 12+ years of software engineering experience, with at least 2+ years in a leadership role, leading high‑performing engineering teams. Hands‑On Leader: Proven experience as a "player‑coach" who can lead from the front, contribute to the codebase, and mentor junior and senior engineers. Platform Building: Strong track record of designing, building, and launching scalable, distributed, cloud‑native platforms from the ground up. Domain Knowledge: Experience in the financial services, especially Financial Analytics, is a significant plus. An understanding of banking workflows and data is highly desirable. Communication Skills: Exceptional ability to communicate complex technical concepts to non‑technical stakeholders and to articulate a clear technical vision that aligns with business goals. Technical Skills Backend & Distributed Systems Languages: Java full stack/Spring Boot (enterprise standard) and Python Go (plus) Architecture: Microservices, domain‑driven design, event‑driven systems APIs & Integration: REST/gRPC; Apigee, Kong Data & Messaging: PostgreSQL/Oracle, MongoDB AI / GenAI LLM & Agentic Frameworks: Deep expertise in building production‑grade agentic systems using GCP as primary (ADK, Vertex AI) Model Context Protocol (MCP) & Integrations: Experience integrating agents with enterprise tools and data sources using MCP or equivalent context‑sharing patterns Knowledge Graphs & Reasoning: Building and leveraging knowledge graphs for context enrichment, reasoning, and workflow automation RAG & Knowledge Systems: End‑to‑end RAG pipelines using enterprise search + vector stores (e.g., Elastic, Pinecone) with grounding, evaluation, and optimization Model Lifecycle & Governance: Model evaluation, monitoring, prompt/version control, and Responsible AI / MRM compliance Enterprise AI Integration & Data API‑ and event‑driven integration of AI into enterprise workflows Data platforms: Databricks, Spark Cloud & DevSecOps Cloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency) Containers: Docker, Kubernetes (GKE/EKS) CI/CD: GitHub Actions, Jenkins Observability: Splunk, ELK, Prometheus, Grafana Security & Compliance Secure coding, API security, Zero Trust Data privacy, encryption, access control Regulatory compliance and AI governance (MRM) What We Offer A leadership role in a high‑priority, transformative initiative with executive visibility. The opportunity to build a cutting‑edge AI platform. A competitive compensation package including salary and benefits. A collaborative and innovative culture that values technical excellence and business impact. 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. #J-18808-Ljbffr Citi