VP, AI Solution (platform) Architect (Singapore)

Job description

Headquartered in Tokyo, Sumitomo Mitsui Banking Corporation (SMBC) is a leading global financial institution and a core member of Sumitomo Mitsui Financial Group (SMBC Group). Built upon our rich Japanese heritage since 1876, we put our customers first and provide seamless access to, from and within the Asia Pacific region. SMBC is one of the largest Japanese banks by assets and maintain strong credit ratings across our global integrated network. We work closely as one SMBC Group to offer personal, corporate and investment banking services to meet the needs of our customers. With sustainability embedded within our strategy and operations, we are committed to creating a society in which today’s generation can enjoy economic prosperity and well-being, and pass it on to future generations. Responsibilities Design end-to-end AI platform/solutions, from data ingestion to model deployment and monitoring. Translate business problems into scalable AI architecture and technical specifications. Collaborate with various stakeholders that include data scientists, engineers, product managers and business stakeholders in realizing AI technology. Ensure AI solutions meet performance, scalability and reliability requirements. Incorporate security, governance, and compliance into AI system design. Provide architecture, solution and project support related to AI realization. Establish and maintain the AI security guardrail baseline Requirements Bachelor’s or Master’s degree in Computer Science, AI data science, AI or related field. 5+ years of experience in software architecture, data engineering and AI/ML system design & implementation. 7-10 years of working experience in relevant field with at least 5 years of AI specific experience. Strong understanding of machine learning, deep learning and data engineering concepts. Experience and knowledge of cloud platforms (Azure, AWS, GCP) and AI services. Proficiency in programming languages such as Python, Java and Scala. Knowledge of APIs, microservices architecture and distributed systems. Strong problem solving skills and communication skills. Knowledge of generative AI and large language models (LLM). Understanding of data governance, privacy and ethical AI practices. Knowledge of secure software development lifecycle. Experience in regulated industries (finance, healthcare, government). Key skills AI/ML architecture design Cloud computing and distributed system design Data modelling and pipeline design Stakeholder communication and management Strategic thinking and innovation