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. This marks a pivotal shift in how we operate, innovate, and serve to embed intelligence into every layer of our business.
At Singtel, this is more than a technology upgrade. It's a strategic transformation that redefines how value is created across the enterprise core-augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processes under one cohesive strategy. Our mission is to build AI literacy, and foster a culture where intelligence empowers people.
We welcome you to join us on a transformational journey that's reshaping the telecommunications industry - and redefining what's possible with AI at its core. Grow with us in a workplace that champions innovation, embraces agility, and puts human potential at the heart of everything we do.
Be a Part of Something BIG!
RoleAs 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.
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
- 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
- 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.
Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!
- Locations
- Singapore
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