Lead AI Solutions Architect — Enterprise Platform Leader

Singtel; Singapore; On-site; Confidential; Full time

Job summary

Singtel is seeking a Lead AI Solution Architect to define end-to-end architectures for AI Value Pools and deliver enterprise AI initiatives. You will lead a multidisciplinary squad of AI Engineers, Software Engineers, Front-end Engineers and Data/Knowledge Engineers to translate business strategies into scalable, secure AI solutions.

The role emphasizes production-grade architecture, cloud-native designs, and API-driven integration across data sources and enterprise platforms, with a focus on

Qualifications

• 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.

Responsibilities

• Align Value Pool and project-level AI solutions with enterprise architecture principles, security requirements, governance standards and approved platform capabilities, while enabling the responsible adoption of emerging AI technologies.
• Design and coordinate end-to-end integration across data sources, enterprise platforms, legacy systems and business applications to ensure AI solutions are scalable, interoperable and implementable within the existing technology environment.
• Apply and promote production-grade architecture practices across assigned projects, ensuring solutions are designed for scalability, reliability, observability, maintainability and operational readiness from prototype through deployment and Day 2 support.
• Lead technical alignment across business stakeholders, Product Owners, AI engineers, software developers, data teams, platform teams, IT and network domains, translating business requirements into clear and actionable solution designs.
• Evaluate emerging AI technologies and architectural approaches for relevant Value Pool use cases, balancing innovation, delivery speed, solution complexity, platform fit and long-term operational sustainability.

Skills

AI architecture leadership

Cross-functional leadership

Cloud-native design

API design & integration

Security & governance awareness

Stakeholder communication

Software architecture

AI/ML workflows

Education

Bachelor’s or Master’s degree in CS/Engineering/Data/AI/ML

Tools

LangChain

LangGraph

GraphRAG

RAG (Retrieval-Augmented Generation)

MLflow

Kubeflow

Airflow

CI/CD pipelines

Job description

Singtel is seeking a Lead AI Solution Architect to define end-to-end architectures for AI Value Pools and deliver enterprise AI initiatives. You will lead a multidisciplinary squad of AI Engineers, Software Engineers, Front-end Engineers and Data/Knowledge Engineers to translate business strategies into scalable, secure AI solutions.

The role emphasizes production-grade architecture, cloud-native designs, and API-driven integration across data sources and enterprise platforms, with a focus on