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Senior Tech Lead / Solution Architect (AI)

NTT SINGAPORE PTE. LTD.Singaporemycareersfuturepublished 11/10/2026
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Must-have:TypeScriptJavaScriptPythonJavaReactAngularVueNode.jsAWSDockerKubernetesCloudFrontendBackendFullstackDevOpsCI/CDMicroservicesAISecuritySeniorLeadJunior

Senior Tech Lead / Solution Architect

Key Responsibilities:

  • Lead the technical design, architecture and development of scalable full-stack applications and AI-powered solutions.
  • Design and implement end-to-end application architecture across frontend, backend, APIs and AWS cloud infrastructure.
  • Drive the development and integration of AI capabilities, including LLMs, generative AI, machine learning models and AI-powered services.
  • Define technical standards, coding best practices, development frameworks and architectural guidelines.
  • Provide technical leadership, guidance and mentorship to junior engineers.
  • Oversee application performance, scalability, security and reliability.
  • Lead cloud architecture and deployment strategies, including CI/CD pipelines and infrastructure automation.
  • Collaborate with business stakeholders and cross-functional teams to translate business requirements into technical solutions.
  • Remain hands-on in software development, troubleshooting and solution implementation.

Requirements:

  • 8–15 years of experience in software engineering, application development or solution architecture.
  • Strong hands-on development experience within the last 4–6 years.
  • Proven experience in designing and developing full-stack applications.
  • Strong hands-on experience with AWS services such as:
  • AWS Lambda
  • Amazon ECS / EKS
  • Amazon S3
  • Amazon RDS / DynamoDB
  • API Gateway
  • AWS Bedrock (preferred)
  • Strong programming experience in one or more languages such as Python, Java, JavaScript / TypeScript or Node.js.
  • Experience with modern frontend frameworks such as React, Angular or Vue.js.
  • Experience developing and integrating AI applications, particularly LLM-based applications, Generative AI or machine learning solutions.
  • Strong understanding of REST APIs, microservices architecture, databases and cloud-native application development.
  • Experience with DevOps practices, CI/CD, Docker and Kubernetes.
  • Strong problem-solving, communication and technical leadership skills.