About the Singapore AI Center of Excellence (COE)
The Singapore AI Center of Excellence (COE) is a dedicated engineering and R&D hub focused on Enterprise and Sovereign AI. Our mission is to help organizations move AI workflows cleanly into production through two main paths: creating reusable software architectures that solve common industry problems, and contributing code directly to upstream open-source projects to fix enterprise gaps in system deployment, runtime tuning, and platform management.
Basing our engineering team in Singapore creates a close feedback loop between customers, partners, and core product teams. This direct connection keeps our development roadmaps relevant, speeds up solution delivery, and strengthens our ability to co-innovate across the region.
Role Overview
The AI/ML Architect is a highly consultative, customer-facing technical authority role at the intersection of Enterprise AI and client-facing infrastructure design. As part of our Customer Engineering function,, you will design production-ready, repeatable architectural blueprints and lead technical scoping alongside strategic customers and technology partners. Your mission is to eliminate technical and organizational friction to establish modern, enterprise-grade Kubernetes container systems as the preferred platform for high-scale application and AI workloads.
In this team, career growth and seniority are defined purely by your technical competence, architectural depth, and ability to deliver end-to-end solutions autonomously in highly ambiguous environments while mentoring technically AI/ML engineering colleagues. There is no expectation of team management or administrative coordination; your progression is driven entirely by engineering design impact, advisory leadership and your ability to coach and develop junior team members.
What you will do:
Enterprise-Minded Blueprinting: Design and document comprehensive, production-ready system architecture blueprints and reference topologies. These blueprints must naturally take into account critical enterprise requirements—including systems-level hardening, compute/network/storage optimization, security boundaries, and multi-tier IT landscapes.
Client Engineering Workshops & POCs: Lead the technical scoping, discovery, and execution of deep-dive customer workshops. Design custom Proofs-of-Concept (POCs) and architectural walk-throughs to validate technical feasibility before down-stream delivery teams begin implementation.
Strategic Advisory & Client Advocacy: Serve as a trusted technical advisor to regional engineering teams and corporate executives, translating complex AI/ML requirements and technology strategies into actionable, high-value business outcomes.
Ecosystem & Partner Integration: Collaborate with external technology ecosystems (such as chip manufacturers, independent software vendors, and regional system integrators) to design and validate joint-architecture solutions.
Feedback Loop Optimization: Act as a key technical liaison between APAC market realities and product management teams, channeling regional customer feedback and infrastructure requirements into global product roadmaps.
Autonomous High-Stakes Delivery (Senior Level): Take full technical ownership of complex, strategic enterprise opportunities. Advise senior IT and business executives (including C-level stakeholders) on platform maturity, multi-year adoption strategies, and compliance frameworks.
What you will bring:
To be considered for this role, all candidates must meet the following baseline requirements:
Academic & Professional Experience
Education: Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related quantitative field.
Customer Delivery Experience: Proven track record of leading successful technical consulting, system design, or pre-sales architecture engagements for enterprise customers.
Communication: Exceptional verbal and written communication skills in English, with a…