2 hours ago
Singapore, SingaporeSenior
Responsibilities
- Design and implement Red Hat OpenShift AI platform architectures.
- Deploy and manage AI workloads on Red Hat OpenShift container platforms.
- Design and implement enterprise agentic AI solutions using multi-agent frameworks, workflow orchestration, planning, memory, tool integration, and governance.
- Lead medium- to large-sized project teams and ensure the quality of customer deliverables.
- Conduct discovery, analysis, design, architecture review, and knowledge-transfer workshops.
- Support technical pre-sales through scoping, technical proposals, solution demonstrations, proofs of concept, and architectural reviews.
- Define best practices for platform deployment, hardening, observability, monitoring, alerting, capacity management, scalability, resiliency, and security operations.
- Act as a trusted technical advisor to Red Hat and customer stakeholders and align solutions with customer requirements and use cases.
- Mentor junior consultants and customer engineers.
- Contribute to internal methodologies, playbooks, reference architectures, and shared consulting assets.
Requirements
- 10+ years of experience in consulting, solution architecture, or technical advisory roles.
- Strong expertise in MLOps, including model training and fine-tuning, deployment, monitoring, governance, and lifecycle management.
- Experience with AI/ML frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
- Experience designing and operationalizing enterprise generative AI solutions using LLMs, RAG, vector databases, embedding models, and knowledge graphs.
- Experience implementing enterprise agentic AI solutions and hands-on experience with LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
- Experience implementing the Model Context Protocol to integrate LLMs with enterprise applications, APIs, data sources, and business systems.
- Experience developing secure, scalable, governed AI solutions with enterprise authentication, authorization, observability, guardrails, and responsible AI practices.
- Experience with model serving, experiment tracking, model registries, feature stores, and inference optimization.
- Strong knowledge of GPU infrastructure, AI accelerators, and workload scheduling technologies.
- Experience integrating AI platforms with cloud-native services across hybrid and multi-cloud environments.
- Knowledge of data engineering principles, including data pipelines, feature engineering, data governance, and data quality.
- Proven leadership in AI, data, and platform modernization initiatives and enterprise-scale transformations.
- Strong customer-facing, presentation, workshop facilitation, communication, and stakeholder advisory skills.
- Experience contributing to open-source AI/ML communities or projects is highly desirable.
- Experience with Red Hat AI, Red Hat OpenShift AI, NVIDIA AI Enterprise, Kubeflow, MLflow, KServe, or equivalent technologies is highly desirable.
Benefits
- Red Hat supports flexible work environments ranging from in-office and office-flex to fully remote, depending on role requirements.
- The role supports customers across the ASEAN region from Singapore.
- Red Hat provides reasonable accommodations to applicants with disabilities.
- Red Hat is an equal opportunity workplace and affirmative action employer.
Tech Stack
Categories
Solutions Engineering
About Red Hat
Red Hat is the world’s leading provider of enterprise open source solutions, using a community-powered approach to deliver high-performing Linux, hybrid cloud, edge, and Kubernetes technologies. We hire creative, passionate people who are ready to contribute their ideas, help solve complex problems, and make an impact. Opportunities are open. Join us.