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Solution Architect / Technical Delivery Lead

DADACONSULTANTS PTE. LTD.•991C ALEXANDRA ROAD, 119971, Singapore
ContractSenior
S$10,000 - S$12,000/month
👁️ 0 views•📝 0 applications•Posted 10/14/2026•Expires 11/13/2026
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Job Description

About the Role Our client is a globally recognised professional services and technology firm delivering large-scale digital transformation programmes across the public and private sectors.

They are seeking a hands-on Solution Architect to lead the architecture and technical delivery of a strategic digital MVP encompassing modern web applications, enterprise system integration, AI-enabled capabilities, and cloud-native delivery.

This is a high-intensity, short-duration engagement (approximately 3 months) based in Singapore, offering the opportunity to drive meaningful impact within a compressed timeline.

The role is ideal for a technically grounded architect who is equally comfortable shaping solution design and rolling up their sleeves alongside engineering teams.

Key Responsibilities

Define and document the target-state application, integration, security, and deployment architecture, producing solution designs, technical specifications, and implementation guidance for a modern web-based MVP Design secure, scalable, and maintainable services and front-end applications, and establish integration patterns between the MVP and existing enterprise systems, identity services, APIs, and data sources Translate stakeholder requirements and user journeys into implementable features, technical work packages, and engineering tasks, leading technical planning, design reviews, and implementation readiness activities Remain sufficiently hands-on to review code, integrations, test coverage, and deployment readiness, and support iterative demonstrations, acceptance activities, and issue resolution throughout delivery Establish AI-assisted engineering practices using tools such as AI coding assistants and specification-driven development frameworks; review and validate AI-generated code, tests, and documentation before use Design AI-enabled capabilities — such as intelligent workflows, agent orchestration, recommendation logic, or predictive features — and embed appropriate guardrail

Required Skills

DocumentationStakeholder Management

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