Dbs
Tech Lead
Overview
The Data Platform team owns the bank's enterprise Generative AI capabilities and the cloud data infrastructure that supports business units across the bank. We are looking for a Tech Lead to take ownership of the architecture, security posture and cost efficiency of our GenAI platform on Google Cloud.
About Dbs
DBS is a leading financial services group in Asia with a presence in 19 markets. Headquartered and listed in Singapore, DBS is in the three key Asian axes of growth: Greater China, Southeast Asia and South Asia.
Requirements & Eligibility
- Master's degree in Artificial Intelligence, Machine Learning, Data Science or a closely related discipline; Bachelor's degree in Computer Science, Information Technology or a related discipline.
- Minimum 10 years of technology experience, including at least 3 years within the banking or financial services industry.
- Google Cloud Certified Professional Cloud Architect (active credential required).
- Hands-on experience designing and operating production GenAI or LLM-based platforms on Google Cloud for enterprise users.
- Strong GCP security and networking expertise.
- Strong programming skills in Python; working knowledge of Java.
Key Responsibilities
- Lead the architecture, delivery and operation of enterprise GenAI services on Google Cloud, including knowledge search, retrieval-augmented generation and conversational assistants.
- Design agent and orchestration patterns for LLM-based applications that comply with bank policy on autonomous systems and enforce appropriate access controls on retrieved data.
- Establish secure execution patterns for tool-enabled AI workflows so that generated outputs and actions remain within enterprise isolation boundaries.
- Forecast LLM consumption and inference demand across model tiers to inform capacity commitments and pricing model selection.
- Reduce inference cost and latency through caching strategies, model selection and workload right-sizing.
- Mentor engineers, review designs and set engineering standards for AI and data workloads.
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