Lead Full Stack & AI Engineer

HSBC is seeking an accomplished Lead Full Stack & AI Engineer to join our Data Management Technology team under CTO Data Technology. This senior leadership role demands extensive expertise in full-stack development with Python and React JS, cloud engineering on GCP, and AI/ML implementation, combined with proven team leadership and delivery excellence. Key Responsibilities Lead the design, architecture, and development of enterprise-scale full-stack applications using Python (backend) and React JS (frontend) Define technical strategy and roadmap for AI-powered data management solutions on GCP Drive implementation of AI/ML capabilities to enhance data controls, quality checks, and risk detection in production environments Establish architectural standards, design patterns, and best practices for cloud-native applications on GCP Lead, mentor, and grow a team of full-stack engineers and AI specialists, fostering a high-performance culture focused on delivery excellence Own end-to-end technical delivery of complex, multi-workstream projects supporting regulatory compliance (BCBS 239, IRR, etc.) Develop comprehensive project plans with clear milestones and drive execution with urgency while maintaining quality and security standards Partner with Risk, Compliance, Data Governance, and Business teams to translate requirements into scalable technical solution. Required Skills 7+ years of relevant technical experience in enterprise software development with at least 2+ years in leadership roles. Write good quality code and automated Test cases Expert-level proficiency in Python for backend development (Flask, FastAPI, Django) and strong expertise in React JS with modern JavaScript/TypeScript for frontend Proven experience architecting and deploying enterprise solutions on GCP including services like Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, and Vertex AI Good hands-on experience implementing AI/ML solutions. Deep understanding of microservices architecture, RESTful APIs, event-driven systems, and experience with both SQL and NoSQL databases Demonstrated experience leading technical teams (5-15 members) with proven track record of delivering large-scale projects on time and with high quality Strong understanding of software design principles, design patterns, enterprise architecture, and cloud-native application best practices Experience with agile methodologies, DevOps practices, CI/CD implementations (Docker, Kubernetes), and infrastructure as code (Terraform)