AI Architect

Job description

Job Description: HSBC is seeking an accomplished Technical Architect to join theri Data Management Technology team under CTO Data Technology. This senior leadership role demands extensive expertise in Knowledge Graph technologies and AI, combined with proven team leadership and delivery excellence. **The selected candidate will lead the Graph-based design and build of solutions for Enterprise Metadata to enable Data Controls and risk mitigation in handling of Data across HSBC. This critical work supports regulatory requirements including BCBS 239 (Basel Committee on Banking Supervision), Internal Risk Rating (IRR), and other compliance frameworks.** - Responsibilities: Lead architecture, design, and implementation of enterprise-scale Knowledge Graph solutions using Ontologies, LPG, and RDF graphs for Enterprise Metadata management - Define technical strategy and roadmap for graph-based data management and AI initiatives - Own end-to-end technical delivery of complex, multi-workstream projects supporting regulatory compliance (BCBS 239, IRR, etc.) - Establish architectural standards, design patterns, and best practices for graph-based solutions - Develop comprehensive project plans with clear milestones, dependencies, and risk mitigation strategies - Drive execution with urgency while maintaining quality and architectural integrity - Partner with Risk, Compliance, Data Governance, and Business teams to understand requirements and deliver solutions - Present technical proposals and solutions to senior leadership and executive stakeholders Qualifications: Bachelor's/Master's in Engineering 5-8 years - 10+ years of relevant technical experience in enterprise software development with at least 4+ years in leadership roles - Deep subject matter expertise in Knowledge Graph technologies including Ontology design, LPG (Labeled Property Graphs), and RDF (Resource Description Framework) - Proven track record of architecting and delivering large-scale graph database solutions (Neo4j, Neptune, RDF4J, etc.) - Strong understanding of semantic web technologies, SPARQL, OWL, and extensive experience in metadata management, data lineage, and data governance - Expert-level proficiency in full-stack development with modern frameworks and cloud-native architecture (AWS, Azure, GCP) - Strong hands-on experience with AI/ML tools and expert programming skills in Python, Java, JavaScript/TypeScript - Demonstrated experience leading technical teams (5-15 members) in complex enterprise environments with proven delivery track record - Strong planning, estimation, and project management capabilities with experience in agile methodologies, DevOps practices, and CI/CD implementations