Senior Application Development Lead-Senior Vice President

Key Responsibilities

• Lead the design, architecture, and hands-on development of a scalable, secure, and resilient agentic AI platform from concept to production.
• Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies, and infrastructure. You will be expected to write code, build prototypes, and lead by example.
• 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 technical solutions.
• Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery.
• 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.
• Implement and champion best-in-class engineering practices, including CI/CD, automated testing, infrastructure-as-code, and robust monitoring to ensure enterprise-grade reliability.
• Define, measure, and report on key performance indicators (KPIs) related to platform adoption, user productivity, and the ultimate impact on business outcomes like wallet share growth.
• 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 experience in software engineering, 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: A 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. 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: 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 (A2A) 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 & DataAPI- 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 Bachelor’s degree/University degree or equivalent experience Master’s degree preferred