3 days ago
Singapore, SingaporeSenior
Responsibilities
- Design and document production-ready system architecture blueprints and reference topologies for enterprise AI and Kubernetes platforms.
- Lead technical discovery, customer engineering workshops, proofs of concept, and architectural walkthroughs.
- Advise regional engineering teams, corporate executives, and senior IT and business stakeholders on AI/ML platform strategy and adoption.
- Collaborate with chip manufacturers, software vendors, system integrators, and other technology partners on joint architectures.
- Translate APAC customer and infrastructure requirements into feedback for global product roadmaps.
- Own the technical delivery of complex strategic enterprise opportunities and advise on platform maturity, adoption strategies, and compliance frameworks.
- Mentor AI/ML engineering colleagues and coach junior team members through technical leadership.
Requirements
- Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related quantitative field.
- Proven experience leading technical consulting, system design, or pre-sales architecture engagements for enterprise customers.
- Exceptional English verbal and written communication skills, with the ability to present complex architectures to technical and non-technical audiences.
- Expertise architecting and managing enterprise Kubernetes or container platforms, including multi-tenant clusters, container networking, and persistent storage.
- Hands-on proficiency with Python and scripting or automation tools such as Git, Ansible, and Terraform.
- Practical experience running, configuring, and troubleshooting AI/ML frameworks such as PyTorch, TensorFlow, or Jupyter on containerized platforms.
- Experience or familiarity with model serving, workflow orchestration, model registries, ML dataset preparation, GitOps, observability, virtualization, bare-metal orchestration, GPU clustering, secure isolated deployments, and system-level languages such as Go, Java, or Rust.
- Experience in financial services, public sector, healthcare, telecommunications, or manufacturing AI/ML architecture is advantageous.
Benefits
- Flexible work environments ranging from in-office and office-flex to fully remote, depending on role requirements.
- Dedicated technical career progression focused on architectural depth, engineering impact, and advisory capability without administrative team-management responsibilities.
- Exposure to emerging hardware platforms, distributed runtimes, localized enterprise software stacks, open-source blueprints, and AI Quickstarts used across APAC.
Tech Stack
Categories
Solutions Engineering
About Red Hat
Red Hat builds enterprise open-source software, including Red Hat Enterprise Linux, OpenShift for Kubernetes, and Ansible automation, sold via subscriptions with support, training, and consulting. It serves large enterprises and public-sector organizations running hybrid and multi-cloud infrastructure and modern application platforms. Founded in 1993 and headquartered in Raleigh, North Carolina, Red Hat operates as an independent subsidiary of IBM.