NTT SINGAPORE PTE. LTD. Hiring! Full Time Senior Tech Lead - Solution Architect (AI) in Central Region (Singapore), Earn up to SGD 11,000 - Ricebowl

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.