The Red Hat Consulting team is looking for an OpenShift AI Architect with deep expertise in Red Hat OpenShift AI, MLOps practices, and enterprise AI/ML platforms. In this role, you will act as a trusted technical leader across both pre-sales and delivery, helping customers define and execute their AI transformation journey. You will engage early in the sales cycle to understand customer needs, shape solutions, and support proposals.

During delivery, you will lead the architecture and implementation of OpenShift AI-based solutions, ensuring alignment with business objectives, data strategies, and IT architectures. By leveraging Red Hat OpenShift AI, OpenShift, hybrid cloud, and MLOps practices, you will help customers build scalable AI platforms, accelerate model development and deployment, improve governance and operationalization of AI workloads, and drive business innovation.

What You Will Do 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 What You Will Bring 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)

Red Hat certifications and AI/ML-related certifications are a plus 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.



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📌 OpenShift AI Architect (México)
🏢 Red Hat
📍 México