OpenShift AI Architect

Red Hat; Mexico; On-site; PHP 9,236,452 - 14,162,560; Full time

Job summary

Red Hat Consulting seeks an OpenShift AI Architect to lead architecture and delivery of OpenShift AI-based solutions. You will drive AI platform strategy, governance, and MLOps adoption across customer engagements.

The role spans pre-sales, solution design, and hands-on implementation, leveraging Red Hat OpenShift AI, OpenShift, and hybrid cloud to accelerate model development and deployment while aligning with business objectives.

Qualifications

• 8+ years in consulting, platform engineering, cloud architecture, data platforms, or enterprise infra roles.
• Proven pre-sales or customer-facing experience in 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 ML lifecycle management, deployment, monitoring, and governance.
• Experience with Generative AI, LLMs, and AI application architectures.
• Familiarity with data science platforms, AI frameworks, and model serving technologies.

Responsibilities

• Engage in pre-sales activities with customer discovery sessions, workshops, and solution design.
• Partner with Sales to shape opportunities, define scope, and build 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 AI platforms based on Red Hat OpenShift AI and OpenShift.

Skills

OpenShift AI

OpenShift

MLOps

Pre-sales

Cloud architecture

Executive storytelling

English fluency

Tools

Ansible

Terraform

Kubernetes

Job description

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

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email [e-mail]. General inquiries, such as those regarding the status of a job application, will not receive a reply.