Top Tech Jobs & Startup Jobs in Singapore

Build and maintain end-to-end full-stack applications and cloud infrastructure incorporating AI and GenAI workloads. Integrate LLMs, RAG, AI agents, and agentic workflows into user-facing products. Design APIs, databases, CI/CD pipelines, containerized deployments, and infrastructure as code across major cloud platforms. Support secure, reliable, observable systems while serving as a technical contact for clients and operations teams and producing technical documentation.

Develops enterprise architectures, technology roadmaps, and scalable cloud solution designs aligned with business requirements. Evaluates technologies, establishes architecture standards, manages design and delivery risks, and promotes secure, compliant, and consistent solutions. The role requires extensive experience across AWS, Azure, GCP, modernization, microservices, integration, CI/CD, SRE, data and AI, IoT, security, and infrastructure as code, with strong stakeholder collaboration and public-sector project experience.

Lead end-to-end digital transformation engagements, including problem framing, solution design, prototyping, agile delivery, stakeholder engagement, organizational change, and adoption. The role focuses on applying AI to reshape business models, workflows, workforce design, governance, and operating structures. Responsibilities include facilitating workshops, defining measurable outcomes, translating business needs into delivery plans, guiding responsible AI adoption, developing reusable consulting assets, and coaching junior colleagues.

Define the vision, strategy, roadmap, and commercialization of AI-enabled products. Identify high-value AI opportunities, translate business needs into product requirements and business cases, and guide solutions from concept through deployment and adoption. Partner with engineering, architecture, delivery, sales, clients, and senior stakeholders while monitoring business outcomes, product adoption, and value realization. Stay current with generative AI, agentic AI, intelligent automation, and enterprise technology.

Analyze client business challenges, elicit and document requirements, evaluate system and data product capabilities, recommend solutions, and support testing, implementation, training, go-live, and application support. The role also contributes to business analysis planning, governance deliverables, stakeholder communications, risk and issue tracking, and coordination between business and technology teams.

Supports PMO and project delivery by tracking progress, KPIs, risks, issues, milestones, and outcomes. Coordinates stakeholders, produces status reports, supports governance, and drives continuous improvement across projects. The role requires program management, analytical, communication, negotiation, and problem-solving skills, with occasional weekend go-live and extended-hours support.

Drive end-to-end digital transformation programmes by framing client problems, designing and prototyping solutions, translating needs into delivery plans, supporting agile execution, and enabling adoption. The role involves AI-enabled workflows, operating model and organisational change, stakeholder facilitation, responsible AI governance, capability building, and coaching across business and technology teams.

Design, build, automate, and operate secure, scalable cloud platforms across AWS, Azure, or GCP. Develop Infrastructure as Code, Kubernetes platforms, CI/CD pipelines, automation, cloud networking, security controls, monitoring, and reliability solutions. Troubleshoot incidents, optimize performance and costs, integrate testing and security scanning, and guide development teams on DevOps practices. Collaborate with architects, engineers, security teams, and clients to deliver resilient cloud-native environments.

Leads end-to-end digital transformation engagements, framing ambiguous problems, designing AI-enabled solutions, managing delivery, driving organizational adoption, and advising senior stakeholders. Oversees cross-functional teams, workshops, prototyping, agile delivery, change strategies, responsible AI practices, and capability building. Coaches junior consultants and develops reusable delivery playbooks. Requires strong consulting, transformation, operating model, stakeholder management, AI fluency, and structured problem-solving experience.

Lead the design and production delivery of enterprise AI solutions, combining hands-on AI engineering with technical architecture and multidisciplinary team leadership. The role covers LLMs, agentic tooling, cloud-native AI platforms, software architecture, data engineering, DevOps, responsible AI, and stakeholder collaboration across enterprise and public-sector environments.