- Singapore
BASIL TECHNOLOGIES PTE. LTD. Hiring! Full Time AI Solution Architect in , Earn up to SGD 10,700 - Ricebowl
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Job Description
Responsibilities
Role Name:
AI Solution Architect
Qualifications
5 to 8 Years of experience
Translate business requirements into technical architecture and design specifications
Define and document the solution architecture, including high-level components, interfaces, and data flows
Design and implement advanced frameworks using Lang Chain and related technologies.
Develop document ingestion, chunking, embedding, indexing, and retrieval pipelines. Implement hybrid search architectures
Familiar with
Python software implementation
and skilled in leveraging
Lang graph workflow
Good exposure on
Responsible AI principles
and how that is put into practice
on live AI systems
Evaluate technology options and recommend optimal tools, platforms and approaches
Ensure alignment with enterprise standards, security and governance policies
Collaborate with engineering,
DevOps,
and infrastructure teams to ensure successful implementation
Provide guidance and oversight during
development, integration, and deployment phases
Engage with stakeholders to validate architecture decisions and manage trade-offs
Support troubleshooting of technical issues and provide solution-level guidance during project execution.
Job Description
Responsible for designing and overseeing the implementation of end-to-end technology solutions that align with business objectives and technical constraints. Acting as a key technical leader, the Solution Architect bridges business needs and technical execution, ensuring that solutions are scalable secure, cost-effective, and fit-for-purpose across the enterprise or project landscape.
General Experience and Technical skills:
Strong architecture design skills across application, data, integration, and infrastructure domains
Proficiency in cloud platforms (e.g.,
AWS/Azure/GCP)
, including cloud-native services
Hands-on experience with APIs, microservices and integration patterns
Knowledge of cybersecurity best practices and compliance requirements
Experience with DevOps, CI/CD pipelines, containerization (e.g.,
Docker, Kubernetes)
Ability to use modelling and documentation tools (e.g.,
ArchiMate, Lucidchart, *************, UML)
Strong Ability of both monolithic and distributed system architecture.
AI Solution Architect
Qualifications
5 to 8 Years of experience
Translate business requirements into technical architecture and design specifications
Define and document the solution architecture, including high-level components, interfaces, and data flows
Design and implement advanced frameworks using Lang Chain and related technologies.
Develop document ingestion, chunking, embedding, indexing, and retrieval pipelines. Implement hybrid search architectures
Familiar with
Python software implementation
and skilled in leveraging
Lang graph workflow
Good exposure on
Responsible AI principles
and how that is put into practice
on live AI systems
Evaluate technology options and recommend optimal tools, platforms and approaches
Ensure alignment with enterprise standards, security and governance policies
Collaborate with engineering,
DevOps,
and infrastructure teams to ensure successful implementation
Provide guidance and oversight during
development, integration, and deployment phases
Engage with stakeholders to validate architecture decisions and manage trade-offs
Support troubleshooting of technical issues and provide solution-level guidance during project execution.
Job Description
Responsible for designing and overseeing the implementation of end-to-end technology solutions that align with business objectives and technical constraints. Acting as a key technical leader, the Solution Architect bridges business needs and technical execution, ensuring that solutions are scalable secure, cost-effective, and fit-for-purpose across the enterprise or project landscape.
General Experience and Technical skills:
Strong architecture design skills across application, data, integration, and infrastructure domains
Proficiency in cloud platforms (e.g.,
AWS/Azure/GCP)
, including cloud-native services
Hands-on experience with APIs, microservices and integration patterns
Knowledge of cybersecurity best practices and compliance requirements
Experience with DevOps, CI/CD pipelines, containerization (e.g.,
Docker, Kubernetes)
Ability to use modelling and documentation tools (e.g.,
ArchiMate, Lucidchart, *************, UML)
Strong Ability of both monolithic and distributed system architecture.
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