AI Solution Architect

BASIL TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

BASIL TECHNOLOGIES PTE. LTD. is seeking an AI Solution Architect to translate business requirements into scalable technical architectures.

You will define solution components, data flows, and interfaces, and design frameworks using LangChain and Python. Collaborate across engineering, DevOps, and infrastructure to ensure secure, governance-compliant deployment. Responsibilities include guiding end‑to‑end implementations, ensuring alignment with enterprise standards, and engaging stakeholders to

Qualifications

• 5 to 8 years of experience in solution or enterprise architecture.
• 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 LangChain and related technologies.
• Develop document ingestion, chunking, embedding, indexing, and retrieval pipelines with hybrid search architectures.
• Proficient in Python software implementation and LangChain workflow development.
• Familiar with Responsible AI principles and governance on live AI systems.
• Evaluate technology options and recommend optimal tools and approaches.
• Ensure alignment with enterprise standards, security and governance policies.
• Collaborate with engineering, DevOps, and infrastructure teams for successful implementation.
• Provide guidance during development, integration, and deployment phases.
• Engage with stakeholders to validate architecture decisions and manage trade-offs.
• Assist troubleshooting and provide solution-level guidance.

Responsibilities

• Design and oversee the implementation of end‑to‑end technology solutions.
• Bridge business needs and technical execution to ensure scalable, secure, and cost‑effective outcomes.
• Collaborate with engineering, DevOps, and infrastructure teams for delivery.
• Guide development, integration, and deployment phases with architecture oversight.
• Validate decisions with stakeholders and manage trade-offs.

Skills

LangChain

Python

APIs & Microservices

DevOps

Docker

Kubernetes

Cloud Platforms

Security & Governance

Architecture Design

UML/Modeling

Tools

Docker

Kubernetes

ArchiMate

Lucidchart

Draw.io

UML

Job description

Role Name: AI Solution Architect

Qualifications

• 5 to 8 Yearsof experience
• Translate business requirements into technical architecture and design specifications
• Defineand document thesolution 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 ofend-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
• Proficiencyin cloud platforms (e.g., AWS/Azure/GCP), includingcloud-native services
• Hands-on experience with APIs, microservicesand integration patterns
• Knowledge of cybersecurity best practices andcompliance requirements
• Experience with DevOps, CI/CD pipelines, containerization (e.g., Docker, Kubernetes))
• Abilityto use modelling anddocumentationtools (e.g., ArchiMate, Lucidchart, Draw.io, UML))
• Strong Ability of both monolithic and distributed system architecture.