VP/AVP, Tech Lead, Enterprise GenAI Platform, Data Platform, Group Technology

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. The role combines hands-on AI engineering with cloud architecture, security and networking design, cloud financial management and technology risk governance, and provides senior technical leadership across the platform's data engineering estate.

• Lead the architecture, delivery and operation of enterprise GenAI services on Google Cloud, including

• Design agent and orchestration patterns for LLM-based applications that comply with bank policy on

• Establish secure execution patterns for tool-enabled AI workflows so that generated outputs and actions

• Assess third-party and open-source AI products for deployment in isolated, tightly controlled

• Design private, zero-trust connectivity for AI and data services on GCP, covering private endpoint

• Own identity, access and role-based control models for AI workloads, model endpoints and data

• Produce technical risk assessments and layered security designs, and take solutions through

• Forecast LLM consumption and inference demand across model tiers to inform capacity commitments

• Reduce inference cost and latency through caching strategies, model selection and workload

• Lead annual cloud capacity and budget planning for the platform and drive elimination of cloud waste.

• Provide technical leadership over large-scale batch and distributed data pipelines and their migration to

• Establish platform observability, alerting and reliability targets.
• Mentor engineers, review designs and set engineering standards for AI and data workloads.
• Represent the platform in discussions with Information Security, cloud governance functions, vendors

• Participate actively in Agile delivery and contribute to engineering excellence across the organisation.

• Master's degree in Artificial Intelligence, Machine Learning, Data Science or a closely related discipline;

• Minimum 10 years of technology experience, including at least 3 years within the banking or financial

• Google Cloud Certified Professional Cloud Architect (active credential required).
• Hands-on experience designing and operating production GenAI or LLM-based platforms on Google

• Strong GCP security and networking expertise, including private connectivity to managed services, VPC

• Solid understanding of LLM cost and capacity management: consumption modelling, reserved versus

• Experience delivering AI solutions in isolated or highly restricted environments and securing Information

• Experience with agent orchestration frameworks and tool-enabled LLM workflows in a regulated

• Strong data engineering background with distributed processing frameworks such as Apache Spark,

• Strong programming skills in Python; working knowledge of Java.
• Experience with CI/CD tooling, containerisation and modern observability stacks.
• Strong analytical, problem-solving and communication skills, with the ability to engage security, risk,

• Ability to work proactively and independently, and to operate with ambiguity in an evolving GenAI

• Experience building conversational AI or virtual assistants in an enterprise setting is highly desirable.
• Experience with on-premise to cloud migration of big data platforms and associated cost analysis is

• Familiarity with machine learning frameworks and search or vector retrieval technologies is a plus

DBS Asia Hub

Technology

Regular

Full time