23 hours ago
Singapore (city not specified)Senior
Responsibilities
- Design and build comprehensive, production-ready AI architecture blueprints and reference codebases.
- Package repeatable and extensible architectures as open-source AI Quickstarts for real-world industry problems.
- Collaborate with external engineering teams and technology partners to validate joint architectures and integrations.
- Design automated testing, evaluation harnesses, and system telemetry for performance and model-quality measurement.
- Incorporate data privacy, secure network perimeters, localized hosting, and compliance requirements into solution designs.
- Develop solutions for enterprise AI workflows without owning the final hands-on production deployment.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, or a related quantitative field.
- Hands-on proficiency in Python for machine learning and systems programming.
- Strong software engineering fundamentals, including clean code, TDD, CI/CD automation, and Git workflows.
- Familiarity with Go or C/C++ is highly preferred.
- Strong familiarity with PyTorch and NLP/vision ecosystems such as Hugging Face Transformers, datasets, and tokenizers.
- Practical experience deploying containerized applications on Kubernetes or comparable enterprise container orchestration platforms.
- Conceptual and hands-on understanding of model serving lifecycles, data ingestion, and automated packaging.
- Experience in some combination of distributed computing, workflow orchestration, unstructured data parsing, vector databases, generative AI, agentic architectures, model fine-tuning, model serving, runtime optimization, heterogeneous hardware, or regulated deployments.
- Clear English communication skills and the ability to explain complex technical architectures to engineers and technical stakeholders.
- Experience in regulated industries such as financial services, public sector, healthcare, telecommunications, or manufacturing is advantageous.
Benefits
- Technical career progression is based on engineering impact, architectural depth, and autonomous delivery rather than people management.
- Opportunity to contribute open-source AI Quickstarts and solution blueprints used by the wider community.
- Exposure to emerging hardware platforms, agentic runtimes, and localized enterprise software stacks.
- Red Hat supports flexible work environments ranging from in-office and office-flex to fully remote, depending on role requirements.
- Red Hat provides reasonable accommodations to applicants with disabilities.
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.