AI Technical Lead: Cloud-Native ML & Systems Architect

elliott moss consulting pte. ltd.; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

elliott moss consulting pte. ltd. is seeking an experienced Technical Lead to provide end-to-end technical leadership across AI-powered system integration projects.

The role combines full-stack engineering, Google Cloud Platform, AI/GenAI, system integration, and technical leadership. You will work with clients, architects, project managers, developers and partners to design and deliver scalable, secure, cloud-native and AI-enabled solutions.

Qualifications

• 8+ years of hands-on experience in full-stack software engineering, system integration or solution delivery.
• At least 3 years in a Technical Lead
• Minimum 3 years of experience leading technical teams on medium to large-scale cloud and AI projects.
• Experience in System Integration (SI) or consulting environments is highly preferred.
• Strong client-facing and stakeholder management experience.
• Excellent communication, analytical and problem-solving skills.

Responsibilities

• Lead technical architecture and solution design across applications, cloud, data, AI and integrations.
• Translate business requirements into scalable technical solutions and architecture.
• Lead end-to-end SDLC delivery covering design, development, testing, deployment and support.
• Design and implement cloud-native, microservices and event-driven architectures.
• Architect production-grade multi-agent and agentic AI systems using suitable orchestration frameworks.
• Establish LLMOps, AI evaluation and model governance frameworks.
• Lead foundation model selection, fine-tuning strategy, data requirements and AI governance.
• Define standards and guardrails for AI-assisted development, including prompt libraries and review of AI-generated code.
• Provide technical guidance across full-stack development, AI/ML integration and cloud engineering.
• Review architecture and code for quality, security, scalability and performance.
• Lead troubleshooting and resolution of complex technical issues.
• Act as the key technical interface with clients and stakeholders.
• Mentor engineers and lead technical capability development.
• Prepare and review technical documentation including HLD, LLD, ADRs, runbooks and AI model documentation.
• Ensure adherence to enterprise architecture, security, compliance and responsible AI standards.
• Support RFP/RFI responses, proposals, estimations and client presentations in an SI/consulting environment.

Skills

Python

Java

Golang

Node.js

REST/GraphQL APIs

Microservices

Event-driven architecture

React

Angular

Vue.js

AI-assisted development

LLMOps

Tools

Docker

Kubernetes

GCP

Vertex AI

Dataflow

BigQuery

Pub/Sub

Terraform

GitHub Copilot

Job description

elliott moss consulting pte. ltd. is seeking an experienced Technical Lead to provide end-to-end technical leadership across AI-powered system integration projects.

The role combines full-stack engineering, Google Cloud Platform, AI/GenAI, system integration, and technical leadership. You will work with clients, architects, project managers, developers and partners to design and deliver scalable, secure, cloud-native and AI-enabled solutions.