Full-Stack AI Solutions Architect

Singtel Group

Kuala Lumpur

Hybrid

MYR 200,000 - 320,000

Full time

2 days ago

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Job summary

Singtel Group is seeking a Solution Designer, IT (Fullstack – AI Ops & Support) to develop, integrate and support enterprise applications while providing technical operations support for enterprise AI platforms and AI-enabled applications. This hybrid role combines hands-on full stack development with troubleshooting across application, API, database, integration, cloud and AI layers.

The position emphasizes Generative AI, LLMs, and Agentic AI, requiring strong collaboration and

Qualifications

Degree in Computer Science, Information Technology, Software Engineering or equivalent.
More than 3 years of software development experience.
Back-end development with .NET/.NET Core/C#, Node.js and Python.
API and integration experience covering REST APIs, JSON, OAuth 2.0, JWT, API authentication and authorisation, webhooks and API testing tools such as Postman.
Database experience with Microsoft SQL Server, PostgreSQL, MySQL, Azure Cosmos DB or equivalent technologies.
Cloud and DevOps experience with Microsoft Azure and/or AWS, Git, CI/CD, Azure DevOps or GitHub, Docker and containers.
Practical knowledge of Generative AI, LLMs, RAG, prompt engineering, Agentic AI, AI agents, AI application troubleshooting and LLM APIs.
Experience with one or more of Azure OpenAI, OpenAI APIs, Azure AI Foundry, Microsoft Copilot Studio, Semantic Kernel, LangChain, LangGraph, AutoGen or MCP is an advantage.
Experience with monitoring or logging platforms such as Azure Monitor, Application Insights, Elastic/ELK, Splunk, Grafana, Dynatrace, Datadog or OpenTelemetry is an advantage.
Strong communication, collaboration, analytical problem-solving, ownership and time-management skills.
Ability to adapt to changing priorities, learn new tools and technologies, and maintain high standards for code quality, security and user experience.

Responsibilities

Design, develop, test, deploy and support enterprise web applications.
Build front-end, back-end and integration components using modern frameworks.
Deliver committed development work within sprint and release timelines while maintaining code quality, security and supportability.
Use approved source control and CI/CD processes for production deployments where technically applicable.
Provide technical operations support for enterprise AI platforms and AI-enabled applications.
Troubleshoot production issues across application, API, database, integration, cloud and AI layers and progress incidents within agreed service levels.
Diagnose issues involving prompts, context, knowledge sources, models, integrations and application behaviour.
Support Agentic AI solutions by diagnosing failed agent executions, tool or API invocation failures, permission or authentication issues.
Develop and support integrations between AI applications and enterprise systems.
Troubleshoot authentication, authorisation, payload, connectivity, timeout and downstream application issues.
Monitor critical integrations and support reliable API service availability.
Ensure APIs and integrations follow approved authentication, authorisation and security requirements.
Provide Level 2 / Level 3 technical support for enterprise applications and AI platforms.
Perform root cause analysis for major incidents and document corrective actions.
Collaborate with IT management, vendors and delivery teams to translate business requirements into technology solutions.
Maintain broad technical knowledge and manage multiple workstreams.