Enterprise AI Architect
Orange Business Services1 month ago
Singapore, SingaporeStaff+
Responsibilities
- Architect end-to-end AI platforms covering training, inference, data pipelines, and core, cloud, and edge environments.
- Design AI knowledge layers integrating object storage, vector databases, and lakehouse architectures for RAG and enterprise search.
- Define reference architectures for Model-as-a-Service and AI workload placement based on latency, resilience, and scale.
- Translate AI platform capabilities into customer-ready solutions and deployable service blueprints.
- Collaborate with infrastructure and network engineers to align AI platforms with enterprise operating and delivery models.
- Develop application-level AI frameworks for integrating LLMs into enterprise software and workflows.
- Lead regional technical go-to-market initiatives and communicate AI capabilities as clear enterprise value propositions.
- Guide specialist engineering teams and support enterprise pursuits by aligning technical intent with commercial viability and scalability.
Requirements
- Proven experience in data and AI platform architecture, distributed systems, and modern data stacks.
- Significant experience architecting for performance, resilience, and scalability in global service-provider or large-enterprise environments.
- Advanced understanding of AI/ML infrastructure and experience with leading models from OpenAI, Anthropic, or Google.
- Expertise with database technologies such as MongoDB and Snowflake as components of AI solution stacks.
- Extensive professional experience in the APAC region, including complex stakeholder environments and cross-functional teams.
- Track record of driving technical strategy for high-growth cloud and data business units.
Benefits
- Flexible working hours with the possibility of combining office and home working in a hybrid arrangement.
- Global collaboration opportunities with multinational teams and customers.
- Professional training and upskilling or reskilling programs.
- Internal career growth and mobility opportunities.
- Health and well-being programs, diversity and inclusion initiatives, CSR activities, and employee events.
- Employee Referral Program and Change Maker Awards.
Tech Stack
MongoDBSnowflake
Categories
Solutions Engineering