AI Tech Lead: Cloud-Native Architect & LLMOps Leader

BASIL TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Basil Technologies Pte. Ltd. in Singapore seeks an experienced technical leader to drive end-to-end software engineering for cloud, data, and AI-enabled solutions.

You will translate requirements into robust architectures, enforce coding standards, and guide teams across full-stack development, AI integration, and cloud engineering. Lead AI-assisted development and governance efforts, review designs for performance and security, and collaborate with clients and stakeholders to deliver

Qualifications

• Minimum 8 years hands-on experience in full-stack software engineering, system integration, or solution delivery.
• Minimum 3 years leading technical teams in medium to large projects involving cloud and AI technologies.
• Experience in SI or consulting environments is highly preferred.

Responsibilities

• Lead technical design and architecture across applications, cloud, data, and integrations.
• Translate business and functional requirements into technical solutions and architecture artifacts.
• Define and enforce coding standards, design principles, and best practices.
• Define AI-assisted development standards: tool selection, prompt libraries, code-review checklists for AI-generated output, and guardrails for handling client-sensitive code in AI tool contexts
• Review solution designs and code to ensure quality, performance, and security.
• Provide guidance on modern architectures (cloud-native, microservices, event-driven).
• Architect production-grade multi-agent and agentic systems using orchestration frameworks
• Establish LLMOps and AI evaluation frameworks
• Lead foundation model selection and fine-tuning strategy — with understanding of data requirements, compute costs, and governance implications
• Oversee end-to-end technical delivery across the SDLC (design, build, test, deploy, support).
• Troubleshoot critical technical issues and provide resolution guidance.
• Ensure solutions meet NFRs(availability, scalability, performance, security).
• Support deployment, migration, and environment setup activities.
• Act as the main technical point of contact for clients and internal teams.
• Participate in requirement work shops, technical discussions, and design reviews.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.
• Guide and mentor developers and engineers across full-stack development, AI/ML integration, and cloud engineering.
• Support capability building and knowledge sharing within the team.
• Allocate technical tasks and over see quality of deliverables across the technology stack.
• Ensure adherence to enterprise architecture, security, compliance, and responsible AI standards.
• Contribute to technical documentation such as HLD, LLD, ADRs, runbooks, and AI model documentation.
• Support audits, risk assessments, and governance reviews related to AI, data, and cloud solutions.
• Provide technical input for proposals, solutioning, and estimations for full-stack AI projects.
• Support RFP/RFI responses and client presentations with technical expertise in Applications, Google Cloud and AI.

Skills

Full-stack development

AI/ML integration

Cloud architecture

GCP

DevOps

Leadership

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Vertex AI / AI tools

Job description

Basil Technologies Pte. Ltd. in Singapore seeks an experienced technical leader to drive end-to-end software engineering for cloud, data, and AI-enabled solutions.

You will translate requirements into robust architectures, enforce coding standards, and guide teams across full-stack development, AI integration, and cloud engineering. Lead AI-assisted development and governance efforts, review designs for performance and security, and collaborate with clients and stakeholders to deliver