Senior AI Solutions Architect — Enterprise AI & Hybrid Cloud

Singtel; Singapore; On-site; Confidential; Full time

Job summary

Singtel is building an AI-first telco and seeks a Senior AI Solution Architect to drive enterprise-grade AI workflows from data ingestion to model deployment. You will collaborate with Networks, IT, and external partners to ensure secure, scalable AI implementations that align with business needs.

Join a team shaping AI platforms and governance, with responsibilities spanning design, integration, and lifecycle management for next‑gen AI solutions across hybrid environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data, AI/ML, or related field.
• 3 to 5 years of experience in solution architecture in AI/ML platform integration, data pipeline design and API‑driven systems.
• Proven expertise in designing and integrating end‑to‑end AI workflows, including data pipelines, model orchestration, and serving APIs across hybrid cloud environments.

Responsibilities

• Design end-to-end AI solutions that are robust, scalable, and span data ingestion, model deployment, API orchestration, and business system integration across hybrid cloud and on‑prem environments.
• Architect and deliver solutions for the Central AI platform, encompassing Agentic AI, AI Workbench and Tooling, Model Management, shared RAG service, MCP, AI Runtime environments, etc
• Collaborate with AI engineering and data teams to operationalize AI models, ensuring architectural alignment, scalability, and lifecycle support.

Skills

AI architecture

Data pipelines

API integration

Education

Bachelor's or Master's in CS/Engineering/AI

Job description

Singtel is building an AI-first telco and seeks a Senior AI Solution Architect to drive enterprise-grade AI workflows from data ingestion to model deployment. You will collaborate with Networks, IT, and external partners to ensure secure, scalable AI implementations that align with business needs.

Join a team shaping AI platforms and governance, with responsibilities spanning design, integration, and lifecycle management for next‑gen AI solutions across hybrid environments.