Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ASEAN enterprise customers
Validate workflows and outputs, improve accuracy, reliability and efficiency based on user feedback, and maintain practical workflow documentation and user guides
Stakeholder Engagement: Act as a primary liaison between the IT department, Partners, and various practice groups to translate business needs into technical AI solutions.
AI and data solution design: Architect AI, machine learning, Generative AI, analytics, data pipelines, model deployment, and AI-enabled applications, including the onboarding and operationalization of suitable use cases.
Collaborate closely with Product, ML/Algorithm, and Design teams to align prompts with product feature logic, ensuring quality and stability across critical user journeys.
Own safety and trust: Design the controls that let agents act without a human in the loop: least-privilege credentials, hard policy limits, escalation thresholds, audit logs, sandboxing, and prompt-injection defenses.
Change & Release Management: Plan and coordinate AI product and platform upgrades, model version rollouts, patching, and configuration changes across environments with differing maintenance windows and approval forums. Manage the end-to-end release process for on-premise deployments, including offline and air-gapped update bundles, registry mirrors, signed artefacts, alongside hardware dependencies such as GPU drivers, firmware, and version compatibility.
Define governance gates and evidence requirements across the AI lifecycle, including use-case approval, data readiness, model validation, security testing, deployment, monitoring, change management and retirement