Senior AI Solution Architect

Singapore
Permanent
Full-time

9 days ago

Singapore, SingaporeCompany: Singtel GroupAn 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 AIDATo 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 Senior Solution Architect, you will support the design and implementation of AI solutions across Singtel. Working closely with senior architects, engineering teams, and business stakeholders, you will help develop, integrate, and govern the AI platform components and workflows. This role offers exposure to end-to-end AI systems, from data ingestion and ML/AI model deployment to API integration and secure operations. You will contribute to technical design discussions, assist in solution development, and help ensure alignment with enterprise architecture standards.Make An Impact By

Assist in designing AI solutions that support enterprise needs, including data pipelines, API workflows, and cloud-based model deployment
Work under the guidance of staff architect to implement components of the AI platform, such as model registries, runtime environments, and tool integrations
Support API integration efforts between AI services and business platforms using RESTful and event-driven patterns
Participate in developing and testing AI/ML workflows on platforms such as Azure ML, AI Foundry, or AWS SageMaker, Bedrock, etc
Document solution designs, architectural decisions, integration flows, and deployment procedures
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 data engineers, MLOps, and software teams to ensure smooth delivery of AI features and services
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

Skills to Succeed

Bachelor's or Master's degree in Computer Science, Engineering, Data, AI/ML, or related field.
More than 3 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.
Experience with tools and frameworks such as LangChain, LangGraph, GraphRAG, Retrieval-Augmented Generation (RAG), MLflow, 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
Good technical writing and presentation skills.
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.

Rewards that Go Beyond

Full suite of health and wellness benefits
Ongoing training and development programs
Internal mobility opportunities

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