mid software engineering Solutions Architect ic 15+ yrs · Posted May 15, 2026

About this role

Red Hat is hiring a mid-level Solutions Architect in the software engineering function based in Singapore. The posting calls out experience with Python, Kubernetes, Ansible, TensorFlow and roughly 15+ years of relevant work.

Role
Solutions Architect
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Singapore
Experience
15+ years
Posted
May 15, 2026
AI Summary
AI Specialist Solution Architect driving Red Hat AI adoption in Singapore's public sector and enterprise accounts. Designs end-to-end AI systems, leads technical sales support, and bridges business value with deep technical implementation. Requires 15+ years enterprise architecture experience with 7+ years hands-on MLOps and deep learning expertise.

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Job description

from Red Hat careers

The Red Hat APAC Technology Sales team is looking for an AI Specialist Solution Architect (SSA) to join us in Singapore. In this role, you will be the "technical center of gravity" for the execution of Go-To-Market (GTM) strategies related to Red Hat AI, primarily with Singapore-based public sector, enterprise and commercial accounts.
 

You will play a pivotal role in removing organizational, technical, and competitive barriers to adoption within key accounts. Your mission is to establish Red Hat as the preferred AI platform for enterprise workloads, helping customers leverage their proprietary data to gain a sustainable competitive advantage. You will bridge the gap between business value and deep technical implementation, working closely with data scientists, developers, and IT leadership.

What you will do

  • Architect and Design: Plan, design, and execute end-to-end AI systems, including data pipelines, ML pipelines, and distributed training/serving architectures.

  • Technical Sales Support: Provide expert deep-technical support for GTM strategies, facilitating pre and post-sales activities such as technical deep dives, Proofs of Concept (PoCs), "bake-offs," and hackathons.

  • Stakeholder Engagement: Confidently articulate the Red Hat AI value proposition to a range of stakeholders, from C-level executives to Data Science and DevOps teams.

  • Operationalize AI: Implement best practices in AI systems design and MLOps to move customer projects from experimentation to production-ready environments.

    This is an excerpt. Read the full job description on Red Hat careers →
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