OpenShift AI Architect

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Red Hat

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏢 Enterprise

💰 Corporate Round on 1999-03

Enterprise • Cloud

Red Hat is a leading provider of enterprise open source software solutions, helping companies worldwide to build and deploy applications across hybrid cloud infrastructures. With a strong focus on developing secure, stable, and innovative technologies, Red Hat offers a broad portfolio including products like Red Hat Enterprise Linux, Red Hat OpenShift, and Red Hat Ansible Automation Platform. These products support IT services on any infrastructure efficiently. Trusted by more than 90% of the U. S. Fortune 500, Red Hat empowers organizations to modernize their IT environments, leveraging open source communities to drive technological advancement.

📋 Description

• Engage in pre-sales activities, including customer discovery sessions, workshops, and solution design • Partner with Sales and Account teams to shape opportunities, define scope, and build compelling technical proposals • Support RFP/RFI responses and present AI solutions to technical and executive stakeholders • Assess customer AI, data, and infrastructure environments and propose scalable architectures • Design and implement enterprise AI platforms based on Red Hat OpenShift AI and Red Hat OpenShift • Lead MLOps adoption initiatives, including model lifecycle management, deployment automation, monitoring, and governance • Architect solutions for model training, fine-tuning, serving, and inference at scale • Support customers in deploying and operationalizing Generative AI and Large Language Model (LLM) workloads • Provide technical leadership during delivery, ensuring alignment with architectural best practices • Act as a trusted advisor to customers and partners, helping define AI and platform roadmaps • Collaborate with Product Engineering, Consulting, and Support teams to deliver high-quality solutions • Drive adoption of MLOps, DevOps, automation, and Infrastructure as Code (IaC) practices • Contribute to internal knowledge sharing, reusable assets, and best practices

🎯 Requirements

• 8+ years of experience in consulting, platform engineering, cloud architecture, data platforms, or enterprise infrastructure roles • Proven experience in pre-sales or customer-facing roles, supporting complex solution sales cycles • Strong expertise in Red Hat OpenShift and Red Hat OpenShift AI • Experience designing and implementing AI/ML platforms and MLOps workflows • Knowledge of machine learning lifecycle management, model deployment, monitoring, and governance • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI application architectures • Familiarity with data science platforms, AI frameworks, and model serving technologies • Experience with hybrid cloud architectures and container platforms • Experience with automation and Infrastructure as Code (IaC) tools such as Ansible and Terraform • Solid understanding of enterprise infrastructure, security, networking, and data architectures • Strong communication and presentation skills, including executive-level storytelling • Ability to translate business objectives into AI and platform solutions • Fluent in English (written and verbal)

🏖️ Benefits

• Flexible working arrangements • Professional development opportunities