AI/ML Architect

Red Hat
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Technical advisory","Stakeholder management","Autonomous delivery","Mentoring"]

Design production-ready, repeatable architectural blueprints for enterprise AI and high-scale workloads, with a focus on Kubernetes-based container platforms. Lead technical scoping, deep-dive workshops, and customer POCs to validate feasibility before implementation. Serve as a trusted technical advisor, translating complex AI/ML and platform requirements into actionable outcomes while collaborating with partners and product teams to improve the APAC-to-roadmap feedback loop.

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FursaFursa
Red Hat
Red Hat
2 days ago

AI/ML Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Design production-ready, repeatable architectural blueprints for enterprise AI and high-scale workloads, with a focus on Kubernetes-based container platforms. Lead technical scoping, deep-dive workshops, and customer POCs to validate feasibility before implementation. Serve as a trusted technical advisor, translating complex AI/ML and platform requirements into actionable outcomes while collaborating with partners and product teams to improve the APAC-to-roadmap feedback loop.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and document production-ready system architecture blueprints and reference topologies aligned to enterprise requirements such as hardening, optimization, security boundaries, and multi-tier landscapes.
  • •Lead client engineering workshops, technical scoping, discovery, and execution of deep-dive customer POCs and architectural walkthroughs.
  • •Translate complex AI/ML requirements and technology strategies into actionable business outcomes as a trusted technical advisor to regional teams and executives.
  • •Collaborate with external ecosystems (e.g., chip manufacturers, ISVs, system integrators) to design and validate joint-architecture solutions.
  • •Provide technical liaison between APAC market realities and product management by channeling regional infrastructure and customer feedback into global roadmaps.

Key Requirements

  • •Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related quantitative field.
  • •Proven track record leading successful technical consulting, system design, or pre-sales architecture engagements for enterprise customers.
  • •Exceptional verbal and written communication skills in English for presenting complex architectures to technical and non-technical stakeholders.
  • •Demonstrated expertise architecting and managing enterprise-grade Kubernetes/container platform environments, including multi-tenant clusters, container networking, and persistent storage.
  • •Hands-on proficiency with Python and scripting/automation tools (e.g., Git and Ansible/Terraform) plus practical experience running and troubleshooting AI/ML frameworks on containerized platforms.
Education:Bachelor's in Computer Science, Computer Engineering, or a related quantitative field
Skills:CommunicationTechnical advisoryStakeholder managementAutonomous deliveryMentoring
Languages:English
Tech Stack:KubernetesContainerPythonGitAnsibleTerraformPyTorchTensorFlowJupyterVLLMKServeRayMLflowKubeflowArgoCDFluxPrometheusGrafanaOpenTelemetryGitOps

Company Brief

Red Hat
Provides enterprise open-source software solutions, including Red Hat Enterprise Linux, middleware, cloud, container, and Kubernetes technologies, delivering support, services, and solutions for hybrid cloud environments.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Unicorn (USD 1B+)
Funding: IPO / Publicly Listed
Headquarters: Raleigh, United States
Founded: 1993
WebsiteLinkedIn