Join Singtel on a transformational journey to power the future with AI. As a Lead AI Solution Architect, you will design and integrate end-to-end AI workflows, lead a team of AI engineers, and champion a culture of continuous improvement and innovation.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data, AI/ML, or related field.
- 5 to 10 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, reviewing and approving end-to-end AI workflows, including data pipelines, model orchestration, and serving APIs across hybrid cloud environments
- Demonstrated experience in leading and managing development teams focused on software engineering and AI solution delivery.
- 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.
- Strong technical acumen with a deep understanding of software architecture, development frameworks, and best practices.
- 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
- Communicates complex AI concepts clearly and confidently to diverse audiences, including executives and technical teams.
- Effectively manages stakeholders across business, IT, and network domains to gain alignment and drive successful adoption of AI solutions.
- Collaborates seamlessly across cross-functional teams, bridging technical and non-technical groups to ensure smooth communication and delivery.
- Adapts quickly to evolving technologies and shifting business priorities, maintaining focus on long-term enterprise value.
- Strong technical writing and presentation skills, with the ability to communicate complex concepts clearly to both technical and non-technical stakeholders.
- 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.
Benefits
- Competitive salary
- Benefits package
- Opportunities for career growth and development
