AI Technical Lead

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

Job Description

We are looking for 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 closely with clients, architects, project managers, developers, and partners to design and deliver scalable, secure, cloud-native and AI-enabled solutions.

Key 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.

Mandatory Technical Skills

• Strong hands-on programming experience in Python, Java, Golang or Node.js.
• Strong expertise in REST/GraphQL APIs, microservices, middleware and system integration.
• Experience with message queues, asynchronous processing and event-driven architectures.
• Hands-on experience with React, Angular or Vue.js.
• Good understanding of frontend architecture, state management, API integration and performance optimisation.
• AI-Assisted Development
  • Hands-on experience with AI-assisted development tools such as:
  • GitHub Copilot
  • Cursor
  • ChatGPT / Claude
  • Google Cloud Code Assist / Gemini
  • Experience with prompt engineering, rapid prototyping and AI-generated code.
  • Strong understanding of validating, testing and securing AI-generated code.
• Google Cloud Platform
  • Strong hands-on experience with GCP services including:
  • Compute Engine, Cloud Run, Cloud Functions, GKE
  • Cloud Storage, Filestore
  • Cloud SQL, Firestore, Bigtable
  • BigQuery, Dataflow, Pub/Sub
  • VPC, Load Balancing, Cloud CDN
  • IAM, Secret Manager, Cloud Armor
  • Experience with Docker, Kubernetes/GKE and CI/CD.
  • Experience with Cloud Build and Artifact Registry.
  • Terraform experience is an advantage.
• Google Cloud AI / GenAI
  • Proven hands-on experience with Vertex AI.
  • Experience with model training, deployment, monitoring, versioning and fine-tuning.
  • Strong experience with Gemini/LLMs, prompt engineering and RAG.
  • Experience with embeddings and vector search, preferably Vertex AI Vector Search.
  • Exposure to Vision AI, Speech AI and Natural Language AI services.
  • Understanding of AI model evaluation, monitoring, responsible AI and governance.
• Data & Analytics
  • Strong experience with BigQuery and data warehousing.
  • Understanding of ETL/ELT, data integration and data pipelines.
  • Experience with SQL and NoSQL databases.
  • Experience with Pub/Sub and Dataflow.
  • Good understanding of data privacy, governance and security.
  • DevOps & Security - Strong understanding of DevOps practices and CI/CD.
  • Experience with monitoring and observability, including Cloud Monitoring and Cloud Logging.
  • Good understanding of cloud security, secure AI practices, data privacy and compliance.

Qualifications & Experience

• 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.