Lead AI Solution Architect #AIDA
Singtel is hiring a Lead AI Solution Architect in Singapore to technically lead enterprise AI initiatives — defining end-to-end solution architecture and guiding squads of AI, software, and data engineers. Core stack spans cloud AI platforms (Azure ML, AI Foundry, SageMaker, Bedrock), LLM orchestration (LangChain, RAG), MLOps, and API design.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Architecture
- Posted
Skills
Must have
- Bachelor's or Master's degree in Computer Science, Engineering, Data, AI/ML, or related field
- 5–10 years of experience in solution architecture or technical leadership roles, focused on AI platform integration and API-driven systems
- Proven expertise designing end-to-end AI workflows (data pipelines, model orchestration, serving APIs) across hybrid cloud
- Experience leading and managing development teams for software engineering and AI solution delivery
- Strong background in AI/ML systems, cloud-native architectures, and API ecosystems
- Hands-on experience with cloud AI services (Azure ML, AI Foundry, AWS SageMaker, Bedrock) incl. model deployment, monitoring, scaling
- Experience with LangChain, LangGraph, GraphRAG, RAG, MLflow, Kubeflow, and AI/ML orchestration technologies
- Proficient in API architecture and integration standards (REST, GraphQL, gRPC)
- Strong understanding of containerization, virtual machines, microservices, and MLOps tools (MLflow, Kubeflow, Airflow, CI/CD)
- Ability to evaluate and integrate new AI technologies, frameworks, and vendor solutions
- Communicates complex AI concepts clearly to executives and technical teams
- Effective stakeholder management across business, IT, and network domains
- Strong technical writing and presentation skills
- Adapts quickly to evolving technologies and shifting business priorities
Nice to have
- Familiarity with the telco domain, IT systems, and data-driven use cases
Full 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.
Beyond solution delivery, you will establish technical direction across multiple initiatives, govern architectural quality, mentor Solution Architects and drive the adoption of reusable design patterns and engineering best practices across the organisation.
You will serve as the primary technical bridge between business stakeholders, AI Platform Architects and engineering teams, ensuring AI solutions deliver measurable business value while aligning with enterprise architecture, approved AI platforms and technical frameworks including Central AI Kitchen (CAK), governance standards, and proactively managing architectural deviations and technical debt.
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