Role Summary:

As a Senior AI Solution Architect, you will serve as the technical expert in architecting enterprise-grade and end-to-end AI solutions across Singtel. Working within the AI & Data Analytics (AIDA) business unit, you will drive the design, integration, and deployment of scalable AI workflows that are secure, interoperable, and business-aligned.

This role sits at the intersection of data, platforms and business systems that plays a critical role in translating AI vision into actionable architecture and technical designs. You will collaborate with cross-functional teams across Networks, IT, and external partners to ensure that AI solutions are integrated seamlessly into existing infrastructures and future-ready ecosystems.

How You will Make An Impact:

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
Develop solution blueprinting by translating business needs into technical architecture, including selecting appropriate tools, frameworks, and infrastructure for AI model development and operations
Integrate AI capabilities with internal APIs, enterprise platforms and user-facing applications in IT and Networks including LLM-based and agentic workflows
Ensure secure and compliant architecture in collaboration with cybersecurity and governance teams, embedding PDPA and enterprise policy requirements into designs
Evaluate and recommend AI platforms and tools (e.g. Portkey, Databricks, open-source toolkits) based on enterprise goals and technical fit
Collaborate with AI engineering and data teams to operationalize AI models, ensuring architectural alignment, scalability, and lifecycle support
Contribute to proof-of-concepts (PoCs), technical evaluations, and prototyping efforts under supervision
Stay current with AI technologies and best practices in integration, model lifecycle management, and platform operations
Participate in architecture reviews, technical discussions, and sprint planning with cross-functional teams.
Define and enforce architectural standards, reusable design patterns, open-standard, and reference implementations to streamline AI deployment across business units
Provide technical leadership in prototyping, experimentation, vendor technology evaluations, and innovation pilots
Stay updated on emerging AI technologies such as vector databases, context-aware agents, orchestration protocols (e.g. LangChain, LangGraph, MCP, A2A, etc) and assess their applicability within the enterprise
Responsible for leading solutioning activities and managing a small development team consists of AI engineer and application developer for selected use cases

Skills for Success:

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

Good to have:

Certification on Microsoft Azure, AWS, GCP or Databricks.
More than 5 years of experience in enterprise architecture.
Proven experience working in a telco environment or implementing AI platforms on-premise or in the cloud (e.g., Microsoft Azure, AWS, etc.).
Experience with on-premise data lake platforms such as Cloudera and HPE Ezmeral.