Lead AI Solution Architect

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An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say..."Hello BIG Possibilities".
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.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
As a Staff 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.
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 AI platform, encompassing Agentic AI, AI Workbench and Tooling, Model Garden, and AI Runtime environments.
Lead 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., Azure ML, AI Foundry, Databricks, open-source toolkits) based on enterprise goals and technical fit
Collaborate with engineering and data teams to operationalize AI models, ensuring architectural alignment, scalability, and lifecycle support
Define and enforce architectural standards, reusable design patterns, 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) and assess their applicability within the enterprise
Skills to Succeed
Bachelor's or Master's degree in Computer Science, Engineering, Data, AI/ML, or related field.
More than 5 years of experience in solution architecture or technical leadership roles, with a strong focus on AI platform integration 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
Strong background 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.
Experience with tools and frameworks such as LangChain, LangGraph, GraphRAG, Retrieval-Augmented Generation (RAG), MLflow, Kubeflow, and related AI/ML orchestration technologies.
Proficient in API architecture and integration standards (REST, GraphQL, gRPC), with experience enabling secure and scalable interfaces between AI models and enterprise systems
Strong understanding of containerization, virtual machines, microservices, and MLOps tools (e.g. MLflow, Kubeflow, Airflow, CI/CD pipelines)
Demonstrated ability to evaluate and integrate new AI technologies, frameworks, and vendor solutions into enterprise environments
Effective collaboration skills to work across data, platform, and cybersecurity 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.
Rewards that Go Beyond
Full suite of health and wellness benefits
Ongoing training and development programs
Internal mobility opportunities
Your Career Growth Starts Here. Apply Now
We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.
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