AI Solutions Architect - GS26013
On-siteSingapore, Singapore
Singapore, SingaporeOn-siteFull TimeSmall
Full TimeSmall
Job Summary
Define the AI technology roadmap, build reusable reference architectures, and lead the AI R&D team through concept to production for GenAI/LLM and intelligent automation projects. Anchor presales by crafting solution concepts, architecture proposals, and tender responses while evaluating platforms like Azure and AWS against security and data-residency requirements. Establish responsible-AI and data governance practices, guide delivery teams on agentic frameworks and MLOps, and ensure all solutions meet client and public-sector compliance standards.
Required Qualifications
- Solution architecture for AI/ML systems: GenAI/LLM applications, RAG pipelines, vector databases, agentic frameworks, MLOps
- Agentic AI design and development: multi-agent architectures, tool use / function calling, MCP (Model Context Protocol), and AI coding agents such as Claude Code
- Cloud platforms and AI services (Azure, AWS, GCP), including cost and capacity planning for AI workloads
- Application architecture: web/mobile stacks (e.g. ReactJS, React Native, Node.js), microservices, RESTful APIs, PostgreSQL/MSSQL
- Data engineering fundamentals: data pipelines, embeddings, data quality and governance
- Security and compliance for AI solutions, including responsible-AI practices and Singapore public-sector requirements (e.g. IM8, PDPA)
- Leadership of R&D/technical teams; mentoring and capability building
- Strong communication and presentation skills; able to explain AI concepts to non-technical stakeholders and clients
- Consultative mindset with presales and client-engagement capability
- Analytical problem solving and pragmatic decision making under ambiguity
- Bachelor's degree in Computer Science, Engineering, Information Technology or a related discipline
- Cloud architecture certification (e.g. Azure Solutions Architect Expert, AWS Solutions Architect Professional); AI/ML specialty certification (e.g. Azure AI Engineer, AWS ML Specialty); TOGAF
- Min. 10 years of IT industry experience, including 3+ years architecting or delivering AI/ML or GenAI solutions in production
- hands-on experience building agentic AI solutions and working with AI coding agents such as Claude Code
- experience leading a technical or R&D team
Desired Qualifications
- Singapore public-sector project experience
- presales solutioning and tender-response experience
- hands-on experience with LLM application frameworks (e.g. LangChain, LlamaIndex) and MLOps tooling
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