19 hours ago
Ra‘ananna, IsraelSenior
Responsibilities
- Lead customer engagements to design and implement practical AI and Generative AI solutions.
- Design and build solutions using LLMs, Retrieval-Augmented Generation, vector search, model serving, and AI agents.
- Deploy, serve, troubleshoot, and optimize AI workloads on Kubernetes-based platforms including Red Hat OpenShift and Red Hat OpenShift AI.
- Help customers move AI prototypes and proofs of concept into secure, scalable, production-ready enterprise systems.
- Integrate AI solutions with business applications, enterprise data sources, APIs, CI/CD pipelines, and automation platforms.
- Address security, access control, multi-tenancy, model consumption, resource utilization, inference costs, and AI governance requirements.
- Deliver technical workshops, hands-on implementations, architectural guidance, and knowledge transfer.
- Create reusable solution architectures, implementation guides, runbooks, and other technical assets.
Requirements
- Hands-on experience building and implementing AI or Generative AI solutions, preferably in enterprise environments and through production deployment.
- Strong practical understanding of LLMs, Retrieval-Augmented Generation, vector search, model serving, and AI agents.
- Proficiency in Python, REST APIs, and application integration patterns.
- Practical experience deploying, operating, and troubleshooting containerized workloads on Kubernetes; Red Hat OpenShift experience is highly desirable.
- Understanding of deploying and serving AI models in containerized environments, with exposure to vLLM, KServe, Triton, or similar tools.
- Knowledge of Linux, networking, storage, security, and cloud-native infrastructure concepts.
- Strong customer-facing consulting and communication skills across executive and technical audiences.
- Ability to collaborate across technical teams, manage delivery expectations, and support successful customer engagements.
- Fluent written and verbal Hebrew and English.
- Preferred experience with Red Hat OpenShift AI, Kubeflow, LangChain, LangGraph, LlamaIndex, Semantic Kernel, Milvus, Qdrant, Chroma, pgvector, GPU infrastructure, NVIDIA GPU Operator, quantization, caching, Red Hat Enterprise Linux, Ansible Automation Platform, GitOps, ArgoCD, automated deployment pipelines, enterprise AI security, governance, model evaluation, InfiniBand, RoCE, or RDMA.
- Preferred Kubernetes or Red Hat certifications such as CKA, CKAD, or Red Hat Certified Specialist.
Benefits
- Opportunity to work with open-source AI, Linux, cloud, container, and Kubernetes technologies on complex enterprise challenges.
- Structured enablement, collaboration with Red Hat experts, and hands-on customer engagements to deepen Red Hat AI expertise.
- The role may require working from customer sites.
- Red Hat supports flexible work environments, including in-office, office-flex, and fully remote arrangements depending on role requirements.
- Reasonable accommodations are available for applicants with disabilities.
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.