Senior AI Solution Architect

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

Job summary

Singtel is looking for a Senior AI Solution Architect to lead the development of enterprise-grade AI solutions. This role involves designing scalable AI workflows, ensuring secure integration across platforms, and collaborating with diverse teams.

The ideal candidate will have a strong background in AI and data technologies, along with proven experience in solution architecture. This position offers the opportunity to innovate within a cutting-edge domain focused on AI advancements.

Qualifications

• 3 to 5 years of experience in solution architecture in AI/ML
• Proven expertise in designing end-to-end AI workflows
• Hands-on experience with cloud-based AI services

Responsibilities

• Design end-to-end AI solutions across hybrid cloud and on-prem environments.
• Integrate AI capabilities with internal APIs and enterprise platforms.
• Provide technical leadership in prototyping and innovation pilots.

Skills

Solution architecture in AI/ML platform integration

Data pipeline design

API-driven systems

Cloud-native architectures

Proficient in API architecture

Collaboration skills

Technical writing

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data, AI/ML, or related field

Tools

Microsoft Azure ML

AWS SageMaker

LangChain

Portkey

Job description

Powering the Future with AIDA

To lead the next phase of our AI evolution, we’ve launched a new business unit AIDA – Artificial Intelligence & Data Analytics, a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose.

At Singtel, this is a strategic transformation that redefines how value is created across the enterprise, augmenting human capabilities and unlocking entirely new potential.

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 and 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 AI solutions are integrated seamlessly into existing infrastructures and future-ready ecosystems.

Make An Impact By

• 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 consisting 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
• Experience in designing AI/ML systems, cloud-native architectures, and API ecosystems.
• Hands‑on experience with cloud-based AI services such as Microsoft Azure ML, AI Foundry, AWS SageMaker, Bedrock, including model deployment, monitoring, and scaling.
• Familiar with open-source/open-standard tooling for AI and agentic framework. (e.g. Portkey or equivalent)
• Proficient in API architecture and integration standards with experience enabling secure and scalable interfaces between AI models and enterprise system.
• Experience with tools and frameworks such as LangChain, LangGraph, GraphRAG, Retrieval-Augmented Generation (RAG), Ray, Kubeflow, and related AI/ML orchestration technologies.
• Capable to evaluate and integrate new AI technologies, frameworks, and vendor solutions into enterprise environments
• Effective collaboration skills to work across data, API, ML or AI platform teams, with a clear communication style to bridge business and technical stakeholders.
• Good internal (IT, Networks, business) and external (suppliers, government) stakeholders management skills
• Strong technical writing and presentation skills, with the ability to communicate complex concepts clearly to both technical and non‑technical stakeholders.
• Proactive and fast learner with a strong drive to stay current on emerging technologies and industry trends.
• Familiarity with the telco domain, IT systems, and data-driven use cases, with strong technical acumen and a keen interest in emerging AI and data technologies.