Senior Application Development Lead-Senior Vice President

As the App Dev Senior Tech Lead Analyst, you will be responsible for the technical vision, architecture, and execution of this greenfield platform. You will lead a world‑class engineering team from the ground up 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 product strategy and technical roadmap. Translate complex business needs into elegant 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: 10+ years of software engineering experience, with at least 4+ 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 industry (Corporate Banking, Investment Banking, FinTech) is a significant plus. 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 AI / GenAI / Agentic AI LLM & Agentic Frameworks: Deep expertise in building production‑grade agentic systems using GCP as primary (ADK, Vertex AI) Multi‑Agent Systems: Hands‑on experience designing and implementing multi‑agent architectures (task decomposition, coordination, orchestration, and agent‑to‑agent interaction patterns) 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, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‑driven design, event‑driven systems APIs & Integration: REST/gRPC; Apigee, Kong Data & Messaging: PostgreSQL/Oracle, MongoDB/Cassandra, Kafka Cloud & DevSecOps Containers: Docker, Kubernetes (GKE/EKS) IaC: Terraform CI/CD: GitHub Actions, Jenkins Observability: Splunk, ELK, Prometheus, Grafana Location & Compensation Primary Location: Tampa, Florida, United States Time Type: Full time Salary Range: $141,440.00 - $212,160.00 Competitive healthcare coverage (medical, dental, vision) 401(k) plan with company match Life, accident, and disability insurance Wellness programs Paid time off: vacation, sick leave, holidays Equal Opportunity Employer 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. 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