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Open nowPosted yesterday

AI Technical Lead

MyCareersFuture96,520 open roles

Pay
SGD 16,500 – SGD 18,000 a Monthly
Where
Central, Singapore
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Your applicationOpen nowAI Technical LeadMyCareersFuture · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted yesterday

MyCareersFuture median: 4 days open

The posting

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.

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