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

Job Purpose

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.

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.
• Assess third-party and open-source AI products for deployment in isolated, tightly controlled
  environments, and work with vendors on the architectural changes needed to meet bank standards.
• Design private, zero-trust connectivity for AI and data services on GCP, covering private endpoint
  access, VPC and subnet design, DNS-based traffic steering and regional endpoint strategy.
• Own identity, access and role-based control models for AI workloads, model endpoints and data
  access.
• Produce technical risk assessments and layered security designs, and take solutions through
  Information Security, Technology Risk and Architecture governance.
• 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.
• Lead annual cloud capacity and budget planning for the platform and drive elimination of cloud waste.
  Prepare cost-of-ownership analyses and business cases for on-premise to cloud migrations for senior
  management.
• Provide technical leadership over large-scale batch and distributed data pipelines and their migration to
  managed cloud services, including resolution of production performance issues.
• 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
  and business stakeholders.
• Participate actively in Agile delivery and contribute to engineering excellence across the organisation.