AI Architect - Solution & Tech Practices LATAM
Remote Brazil
Red Hat
Red Hat is the world’s leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies.The Red Hat LATAM Solutions and Technology Practice team in Professional Services is looking for an experienced AI Architect to join the world’s leading provider of open-source solutions. Based in Brazil, you will collaborate with regional sales, consulting, and engineering teams to scope and deliver customer engagements across the LATAM region.
You will lead the design and development of scalable AI workloads that address the demands of diverse markets and industries in LATAM, including finance, telecommunications, manufacturing, and healthcare. As AI Architect, you’ll also contribute to building regional expertise by mentoring architects and consultants, crafting repeatable delivery methodologies, and representing Red Hat as an industry leader in AI technologies.
You’ll work closely with customers to understand their challenges, design solutions leveraging Red Hat’s technologies (in particular Red Hat AI Platform), and ensure exceptional customer experiences. This role involves up to 40% travel across LATAM to engage with customers..
What you will do:
Master Red Hat technologies like OpenShift and Red Hat AI through enablement programs.
Design and deliver cutting-edge AI and containerization solutions for our customers.
Support consulting and sales teams, helping scope opportunities and showcase AI’s impact.
Lead customer projects focused on distributed workloads, hardware acceleration at scale, and partner integrations.
Collaborate with engineering and sales to bring customer feedback into Red Hat’s innovation roadmap.
Drive adoption of Red Hat AI best practices and methodologies in LATAM, ensuring scalable and repeatable AI platform deployments.
Represent LATAM in global discussions, bringing regional insights to our global AI strategy.
Contribute to our LATAM and Global AI community by sharing lessons learned, best practices, and technical expertise.
Develop solutions tailored to the unique challenges of LATAM businesses.
What you will bring:
Bachelor's degree or higher in computer science or a related technical field.
Experience leading successful AI consulting engagements in the LATAM region or similar markets.
Proven ability to architect and design complex solutions in rapidly evolving technology environments.
The ability to stay on top of emerging solutions for AI and the ability to learn those technologies quickly.
Experience with modern predictive and generative AI techniques.
Strong application architecture and development expertise.
Deep expertise with Red Hat OpenShift/Kubernetes and open source AI community projects such as Kubeflow, PyTorch and vLLM.
Familiarity with AI use cases in industries such as finance, telecommunications, healthcare, or retail
Demonstrated ability to advise senior IT and business executives, including experience presenting to C-level stakeholders.
Hands-on experience with agile, DevOps, and MLOps methodologies.
Excellent communication and presentation skills tailored to diverse cultural and professional audiences.
Willingness to travel across LATAM (up to 40% of the time).
Able to speak Portuguese, Spanish and English (professional level)
Able to handle pre-sales conversations and collaborate with sales teams
Customer first mindset
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)
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 application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AI strategy Architecture Computer Science Consulting DevOps Engineering Finance Generative AI Kubeflow Kubernetes Linux MLOps Open Source PyTorch vLLM
Perks/benefits: Career development Transparency
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