Develop production-quality backend services in Python and/or other modern languages with strong attention to reliability, observability, testing, maintainability, and secure deployment.
Support business units in identifying and managing critical datasets, data ownership, data quality rules, metadata, data lineage, and data catalogue requirements.
Build and scale a PB-scale data lake / lakehouse for multimodal spatial data — object storage layout, partitioning, open table formats, catalogs, and metadata
Hands-on Technical Leadership: Stay technically involved and step in when needed to write code, debug issues, review architecture and resolve complex engineering problems.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
Integrate AI platforms with Microsoft Azure, Entra ID, Microsoft 365, SharePoint, and Microsoft Graph; manage model deployments, endpoints, quotas, and access controls.
Run inbound work: market assessments, customer research, and competitive analysis focused on AI trends from the APAC. Turn these into product requirements and roadmap input that can scale globally