Senior Solution Architect

About Company

Job Requirements

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. Talent Acquisition Manager: Ching Yap