Jobs at Red Hat

Customer-facing solutions architect specializing in OpenShift and AI workloads. Lead technical workshops, POCs, architecture walkthroughs, and demos; advise customers on AI infrastructure (compute, networking, storage, GPUs) and help transition AI/ML initiatives into production using OpenShift and related platform capabilities.

Pre-sales OpenShift specialist focused on AI who leads architecture walkthroughs, custom demos, workshops and POCs, advises on AI/ML platform readiness, partners with sales/product teams, and helps customers deploy AI workloads to production on OpenShift.

Pre-sales OpenShift Solutions Architect focused on AI workloads. Lead technical strategy, demos, workshops, and POCs; advise customers on AI/ML infrastructure, deployment, and optimization; collaborate with product, sales, and partners to influence roadmaps and deliver reusable technical sales assets and best practices.

As an AI Specialist Solution Architect, you will architect AI systems, support technical sales, engage stakeholders, and operationalize AI while advocating for Red Hat products.

Lead and govern a program composed of multiple projects: plan, align scope with business priorities, manage risks and interdependencies, coordinate stakeholders, report status to senior management, drive cross-team collaboration, and optimize resourcing and budgeting.

Lead design and implementation of Red Hat OpenShift AI platform solutions for enterprise customers across ASEAN. Deploy and manage AI/ML workloads, architect generative and agentic AI solutions, run discovery and design workshops, support pre-sales and proofs-of-concept, define platform best practices, mentor junior consultants, and contribute to internal playbooks and open-source AI initiatives.

Design and deliver production-grade, enterprise-focused AI architecture blueprints and open-source Quickstarts. Collaborate with partners to integrate and benchmark systems, incorporate telemetry, ensure secure and compliant deployments, and optimize runtimes across heterogeneous hardware.

Design and build production-ready enterprise AI architecture blueprints and open-source Quickstarts, integrate and benchmark model serving and telemetry, ensure secure, compliant deployments, and co-develop integrations with partners.

Design production-ready, enterprise-grade AI infrastructure blueprints and lead customer workshops, POCs, and technical advisory. Integrate partner ecosystems, optimize feedback into product roadmaps, and autonomously deliver complex Kubernetes-based, containerized AI/ML solutions while mentoring junior engineers.

Lead design and delivery of scalable AI platform solutions across APAC, scope consulting engagements, architect distributed training/inference and production ML systems, mentor regional teams, align customer needs with Red Hat AI Platform, and represent Red Hat in regional/global AI strategy while traveling up to 40% in APAC.

Lead design, implementation, and productionization of enterprise AI solutions on Red Hat AI Platform and OpenShift across APAC. Deliver end-to-end AI workloads (data pipelines, training, LLM serving, inference), drive pilot-to-production, implement responsible AI controls, mentor team members, and produce architecture and operational documentation.

Design and deliver production-grade enterprise AI architecture blueprints and open-source Quickstarts. Build integrations, benchmarking/evaluation harnesses, and secure, compliant deployment patterns across cloud-native and heterogeneous hardware environments.

Lead design and implementation of OpenShift-based platform architectures, run workshops, deliver pre-sales and POC activities, migrate workloads, operationalize clusters with GitOps/service mesh/serverless, ensure observability, security, and scalability, mentor junior consultants, and contribute to internal playbooks and best practices across ASEAN customers.

Support and deliver Red Hat consulting engagements, implementing infrastructure solutions (OpenShift, Ansible, RHEL, Satellite, IdM/IPA). Troubleshoot, document, and communicate with stakeholders while adapting to customer needs and building technical expertise.

Lead AI discovery engagements across APAC, facilitate workshops, assess and prioritise AI use cases, build adoption roadmaps, coordinate cross-functional teams, coach customers on agile/DevOps practices, and position Red Hat products to drive measurable AI adoption and outcomes.

Lead Forward Deployed Engineering across APAC to design and deliver hybrid-cloud, Kubernetes-based AI platforms; bridge regional customer needs with global R&D and open-source communities; architect secure, compliant sovereign AI deployments; mentor senior engineers; drive upstream open-source contributions and regional developer engagement.

Lead field-facing engineering to integrate, prototype, and productionize enterprise and sovereign AI platforms. Architect secure, scalable Kubernetes-based deployments, optimize hardware-accelerated inference, upstream field innovations to open-source, mentor engineers, and drive global product feedback loops and SDLC improvements.

Manage and support enterprise customer relationships, providing technical guidance on Red Hat products like RHEL and OpenShift while collaborating with various teams for efficient issue resolution.