Senior AI Solutions Consultant – Red Hat Consulting

About the Role

Red Hat Consulting is looking for a hands-on Senior AI Solutions Consultant to help enterprise customers design, build, and deploy next-generation AI and Generative AI solutions.

As organizations move from AI experimentation to enterprise production, you will play a key role in bridging the gap between modern AI technologies and enterprise infrastructure. You will combine strong hands-on expertise in AI and Generative AI with practical experience in Kubernetes, containers, and cloud-native environments.

Working closely with customer architects, developers, data scientists, and infrastructure teams, you will turn business challenges into scalable, secure, and production-ready AI solutions.

his is a hands-on technical consulting role, focused on delivering real customer outcomes, implementing solutions, and helping organizations successfully operationalize AI.

If you have hands-on devops / infrastructure, AI and Linux experience and are prepared to work from customer sites we'd love to hear from you!

What You Will Do

• Lead AI Engagements: Guide enterprise customers in designing and implementing practical AI and Generative AI solutions that address real business challenges.
• Architecture & Implementation: Design and build AI solutions using technologies such as LLMs, Retrieval-Augmented Generation (RAG), vector search, model serving, and AI agents.
• AI Deployment & Optimization: Deploy, serve, and optimize AI workloads on Kubernetes-based platforms, including Red Hat OpenShift and Red Hat OpenShift AI.
• PoC to Production: Help customers move from AI prototypes to secure, scalable, and production-ready enterprise solutions.
• Enterprise Integration: Integrate AI solutions with existing business applications, enterprise data sources, APIs, CI/CD pipelines, and automation platforms.
• AI Operations & Governance: Address enterprise requirements around security, access control, multi-tenancy, model consumption, resource utilization, and inference costs.
• Technical Consulting & Enablement: Deliver technical workshops, hands-on implementations, architectural guidance, and knowledge transfer to customer teams.
• Asset & Practice Contribution: Develop reusable solution architectures, implementation guides, runbooks, and technical assets, while sharing knowledge across Red Hat Services.

What You Will Bring

• Enterprise AI Experience: Hands-on experience building and implementing AI or Generative AI solutions, preferably in enterprise environments, including experience taking solutions from proof of concept toward production.
• GenAI Expertise: Strong practical understanding of modern AI technologies, including LLMs, RAG, vector search, model serving, and AI agents.
• Software Development Foundation: Proficiency in Python, REST APIs, and application integration patterns.
• Container & Kubernetes Skills: Practical experience deploying, operating, and troubleshooting containerized workloads on Kubernetes. Experience with Red Hat OpenShift is highly desirable.
• AI Workload Understanding: Knowledge of how AI models are deployed and served in containerized environments, with exposure to technologies such as vLLM, KServe, Triton, or similar tools.
• Enterprise Infrastructure: Good understanding of Linux, networking, storage, security, and cloud-native infrastructure concepts.
• Consulting & Communication: Strong customer-facing skills, with the ability to translate business requirements into technical solutions and communicate effectively with both executive stakeholders and technical teams.
• Collaboration: Ability to work across diverse technical teams, manage delivery expectations, and contribute to successful customer engagements.
• Languages: Fluent Hebrew and English, both written and verbal.

Nice to Have

• Experience with Red Hat OpenShift AI (RHOAI), Kubeflow, or similar AI/ML platforms.
• Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
• Experience with vector databases such as Milvus, Qdrant, Chroma, or pgvector.
• Familiarity with GPU infrastructure, NVIDIA GPU Operator, and AI inference optimization techniques such as quantization and caching.
• Familiarity with the broader Red Hat portfolio, including Red Hat Enterprise Linux (RHEL) and Ansible Automation Platform (AAP).
• Experience with GitOps, ArgoCD, and automated deployment pipelines.
• Knowledge of enterprise AI security, governance, and model evaluation practices.
• Kubernetes or Red Hat certifications (e.g., CKA, CKAD, Red Hat Certified Specialist).
• Hands-on experience with InfiniBand, RoCE, or RDMA:

Why Join Us?

Join Red Hat Consulting and help leading organizations shape their AI journey. Work with cutting-edge open-source technologies, solve complex enterprise challenges, and help customers move AI from experimentation to real business impact.

You will also have the opportunity to deepen your expertise in Red Hat AI technologies through structured enablement, collaboration with Red Hat experts, and hands-on customer engagements.

#LI-AM4

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
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