Lead AI Solution Architect #AIDA

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

Be a Part of Something BIG!

As a Lead AI Solution Architect, you will be the technical leader for one or more AI Value Pools, responsible for defining the end-to-end solution architecture and ensuring successful delivery of enterprise AI initiatives. You will lead a multidisciplinary squad comprising AI Engineers, Software Engineers, Front-end Engineers, Data/Knowledge Engineer translating business strategies into scalable, secure and reusable AI solutions.

Be a Part of Something BIG!

As a Lead AI Solution Architect, you will be the technical leader for one or more AI Value Pools, responsible for defining the end-to-end solution architecture and ensuring successful delivery of enterprise AI initiatives. You will lead a multidisciplinary squad comprising AI Engineers, Software Engineers, Front-end Engineers, Data/Knowledge Engineer translating business strategies into scalable, secure and reusable AI solutions.

How You Will Make An Impact

• 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 For Success

• 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.

Are you ready to say hello to BIG Possibilities?

Join Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real impact.