Senior AI/ML Architect

Red Hat Asia-Pacific PTE LTD; Singapore; In loco; SGD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

The Senior AI/ML Architect at Red Hat Asia-Pacific PTE LTD will serve as a highly consultative, customer-facing technical authority at the intersection of Enterprise AI and client infrastructure design.

You will craft production-ready architectural blueprints and guide scoping with strategic customers and partners to remove friction and accelerate adoption of Kubernetes-based platforms for high-scale AI workloads.

Competenze

• Bachelor's degree or higher in CS/CE or related field.
• Proven consulting, design, or pre-sales experience with enterprise customers.
• Excellent English communication for executives and stakeholders.
• Expertise in Kubernetes-based container platforms and multi-tenant designs.
• Hands-on Python development and scripting experience.

Mansioni

• Design and document production-ready system architecture blueprints and reference topologies.
• Lead technical scoping, discovery, and execution of deep-dive customer workshops.
• Develop Proofs-of-Concept and architectural walk-throughs for feasibility.
• Advise regional engineering teams and executives translating AI/ML requirements into outcomes.
• Collaborate with external tech ecosystems to validate joint-architecture solutions.
• Take ownership of complex enterprise opportunities and advise on platform maturity and adoption strategies.

Conoscenze

Kubernetes

Python

AI/ML frameworks

Go/Java/Rust

Formazione

Bachelor's degree or higher in Computer Science / Computer Engineering

Strumenti

Docker

Ansible

Terraform

Jupyter

Descrizione del lavoro

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 Senior 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.


• 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.


• 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.


• Collaborate with external technology ecosystems (such as chip manufacturers, independent software vendors, and regional system integrators) to design and validate joint-architecture solutions.


• 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.


• 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: Academic & Professional Experience Education

• 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 demonstrated ability to distill and present complex technical architectures to both technical and non-technical stakeholder groups.


• Core Technical Stack Cloud-Native Mastery: Demonstrated expertise in architecting and managing enterprise-grade Kubernetes or container platform environments, specializing in multi-tenant cluster structures, container networking, and persistent storage strategies.


• Programming & Scripting: Strong application architecture and development foundations, with hands-on proficiency in Python and standard scripting/automation tools (such as Git and Ansible/Terraform).


• AI/ML Platforms & Frameworks: Practical experience running, configuring, and trouble-shooting AI/ML frameworks (such as PyTorch, TensorFlow, or Jupyter environments) on containerized platforms.

Target Knowledge Domains & Growth Areas

• Advanced MLOps & Lifecycle Management: Hands-on architecture experience with model serving frameworks (such as vLLM, KServe, or Ray), workflow orchestration (such as MLflow or Kubeflow), model registries, and ML dataset preparation.


• Cloud-Native Observability & GitOps: Proficiency in declarative GitOps deployment workflows (such as ArgoCD or Flux) and container observability/telemetry stacks (including Prometheus, Grafana, and OpenTelemetry).


• Infrastructure Modernization & GPU Clustering: Strong familiarity with virtualization abstractions, bare-metal server orchestration, and network topologies optimized for high-performance computing (including GPU slicing and high-throughput clustering).


• Regulated Deployments & Secure Design: Designing isolated, air-gapped container networks, secure identity models, and localized inference environments to meet strict data privacy, risk management, and compliance policies.


• Polyglot Systems Engineering: Familiarity with system-level languages such as Go, Java, or Rust for building platform operator patterns, APIs, and cloud-native integration tools.

Nice-to-Have: Industry Domain Experience

• Financial Services (FSI): Familiarity with risk assessment, fraud patterns, data sovereignty, or compliance requirements under regulatory frameworks.


• Public Sector & Healthcare: Experience handling highly sensitive or anonymized datasets, building secure data boundaries, or deploying solutions under strict government compliance protocols.


• Telecommunications & Manufacturing: Experience with edge AI deployments, high-throughput streaming pipelines, or low-latency remote architectures.

Why Join the Singapore AI COE?

High-Visibility Strategic Impact: Work in a highly strategic center of gravity where your architectural designs directly influence the reusable open-source blueprints and AI Quickstarts used across the APAC region.

Pure Architectural Focus: Progress along a dedicated technical track where career growth is tied to your system design depth and advisory capability, completely free from administrative team management overhead.

State-of-the-Art Technologies: Gain hands-on exposure to emerging global hardware platforms, next-generation distributed runtimes, and localized enterprise software stacks.

#LI-VG11

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role.

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