Nicoll Curtin
Enterprise Solution Architect
Skills
10 days ago
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Important information
Contract type:
Permanent
Location:
Singapore
Work mode:
Onsite
Published on:
15 October 2026
What they need
We are seeking an experienced Enterprise Solution Architect to lead enterprise architecture, technical delivery, and AI-driven innovation. The ideal candidate combines strong hands-on software development expertise, proven people leadership, and excellent stakeholder management skills to deliver scalable, secure, and business-aligned technology solutions.
Key Responsibilities
- Define enterprise architecture strategies and design scalable, secure, and resilient technology solutions.
- Lead solution design and implementation across applications, APIs, cloud platforms, system integrations, and AI-enabled systems.
- Provide technical leadership across software engineering, leveraging strong Python and JavaScript expertise.
- Drive the deployment and scaling of AI solutions from proof of concept to production.
- Lead, mentor, and manage technical teams, fostering engineering excellence and continuous improvement.
- Partner with senior stakeholders to translate business requirements into effective technical solutions.
- Ensure solutions meet enterprise standards for performance, security, reliability, and scalability.
Requirements
- 12+ years of experience in software engineering, solution architecture, or enterprise technology.
- Minimum 5 years in a leadership and people management role.
- Strong hands-on development background in Python and JavaScript.
- Proven experience deploying and operating AI solutions in production.
- Strong expertise in enterprise architecture, system integration, APIs, cloud technologies, and distributed systems.
- Excellent stakeholder management, communication, and influencing skills.
- Proven ability to lead technical teams and drive complex, cross-functional initiatives.
Preferred Experience
- Background in aviation, airlines, airports, transportation, logistics, or large-scale customer service operations.
- Experience with generative AI, LLMs, conversational AI, and enterprise automation.
- Experience building and operating mission-critical, high-volume digital platforms.
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