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AI Specialist Solutions Architect

The Red Hat LATAM Technology Sales team is looking for an AI Specialist Solution Architect (SSA) to join our team. This position assumes a crucial role in providing expert deep technical sales support for the seamless execution of Go-To-Market (GTM) strategies related to Red Hat AI within Brasil. Your primary focus will be to remove organizational, technical, and competitive blockers of adoption within key accounts to become the preferred AI platform for workloads and applications across the business and help our customers leverage their proprietary data to gain a sustainable advantage over their competitors by helping them train, build, and manage applications that rely on these models.
You will need to be able to confidently articulate our value proposition to leadership, data scientists, developers, and IT teams within the account. This will entail technical architecture walk-throughs, business-value conversations, customer-facing technical workshops, and implementation of best practices in AI systems implementation and design.
You will work closely with the AI business unit and engineering, helping to test, document, and demonstrate cutting-edge features. You will also work in close collaboration with Red Hat customer sales, Customer Success, Consulting Services, and partner teams to ensure a highly positive customer experience.
What you will do:
  • Work with the customer Account Executive, Sales Specialist, and Solution Architect to identify challenges and blockers to drive Red Hat AI within new and existing customer accounts
  • Plan, design, and execute AI systems with customers having the ability to architect and build data pipelines, ML pipelines, and ML training and serving approaches leveraging additional support and resources from Red Hat as required
  • Facilitate pre, and post-sales activities when needed, including technical deep dives, proofs of concept, “bake-offs,” internal sprints and hackathons, and development of partner vertical-specific AI solutions to drive adoption of Red Hat AI
  • Identify and partner with AI customer stakeholders, acting as an advocate within both their line-of-business and internal customer teams
  • Work closely with the AI business unit and engineering teams, providing a market feedback loop on the product and solutions
  • Execute community outreach and customer advocacy activities including conference speaking, blog posts, etc
What you will bring:
  • SME with 4+ years of hands-on experience in one of the following areas:
  • Machine Learning Use Case Development, including:
  • building AI applications (e.g., deep learning, LLM/RAG, NLP, computer vision, or pattern recognition).
  • Practical experience with a statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
  • Machine Learning Operations design, including:
  • Previous successful experience in AI systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
  • Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with Infrastructure as Code (IaC) solutions (e.g. Ansible).
  • Experience delivering technical presentations and leading business value sessions.
  • Executive presence with public speaking skills
Preferred Qualifications
  • Computer Science or similar degree
  • Previous experience as a sales engineer, technical sales, or similar role preferably at an enterprise software company, a SaaS company, or Systems Integrator
  • Previous experience as an implementation consultant for AI solutions
  • Previous experience in Machine Learning Use Case Development and Operations experience
  • Community brand in volunteer tech communities like AI Users Group or open-source projects

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.

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What You Should Know About AI Specialist Solutions Architect, Red Hat

Join the exciting world of artificial intelligence with Red Hat as an AI Specialist Solutions Architect in Sao Paulo! In this pivotal role, you'll provide expert technical sales support while helping businesses overcome challenges and embrace AI technologies. Your mission is to drive the adoption of Red Hat AI, ensuring customers can leverage their data effectively to gain a competitive edge. Every day will bring new opportunities as you interact with leadership, data scientists, developers, and IT teams, conducting technical workshops and architecture walk-throughs that showcase our exceptional value. You will be at the forefront of designing sophisticated AI systems, ensuring they align perfectly with customer needs. Collaborating closely with sales, consulting, and engineering teams, you’ll ensure a seamless experience from the initial engagement to successful implementation. If you have a knack for breaking down complex concepts and a passion for AI, this role offers a unique chance to make a difference in the industry. Your background in machine learning, AI application development, and technical sales will be invaluable as you advocate for Red Hat's innovative solutions. We encourage a creative and inclusive environment where every 'Red Hatter' can bring their best ideas to the table. Join us in making an impact in the AI landscape and help shape the future of technology. Are you ready to take the next step in your AI career with Red Hat?

Frequently Asked Questions (FAQs) for AI Specialist Solutions Architect Role at Red Hat
What are the responsibilities of an AI Specialist Solutions Architect at Red Hat?

As an AI Specialist Solutions Architect at Red Hat, your main responsibilities include providing technical sales support, driving adoption of Red Hat AI technologies, and collaborating with customers to design and implement AI systems. You will conduct workshops, facilitate customer engagements, and ensure successful execution of Go-To-Market strategies. Additionally, you'll work alongside sales teams and engineering to ensure a seamless experience for clients in Sao Paulo.

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What qualifications are required for the AI Specialist Solutions Architect position at Red Hat?

To qualify for the AI Specialist Solutions Architect role with Red Hat, candidates typically need at least 4 years of hands-on experience in areas like Machine Learning Use Case Development and AI systems design. A strong grasp of programming languages such as Python and experience with open-source AI frameworks like TensorFlow or PyTorch are also essential. A degree in Computer Science is preferred, along with experience in technical sales or as a sales engineer.

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Is public speaking a key requirement for the AI Specialist Solutions Architect at Red Hat?

Yes, public speaking skills are crucial for an AI Specialist Solutions Architect at Red Hat. You will be required to deliver technical presentations, lead business value sessions, and engage with stakeholders through various outreach activities. Your ability to communicate effectively will help in articulating the value proposition of Red Hat AI technologies to diverse audiences.

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What kind of projects will the AI Specialist Solutions Architect at Red Hat work on?

The AI Specialist Solutions Architect at Red Hat will engage in various projects aimed at implementing AI solutions for customers in Sao Paulo. This includes architecting ML systems, designing data pipelines, and providing insights on best practices for AI deployment. You may also participate in community outreach initiatives, such as conferences and contribute to technical documentation or blogs.

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What is the work environment like for an AI Specialist Solutions Architect at Red Hat?

Red Hat prides itself on a flexible work environment that supports creativity and collaboration. As an AI Specialist Solutions Architect, you can work in-office, office-flex, or fully remote, depending on your personal and project needs. The culture emphasizes transparency, inclusion, and the sharing of innovative ideas, making it a vibrant place to grow your career.

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Common Interview Questions for AI Specialist Solutions Architect
What experience do you have with machine learning applications as an AI Specialist Solutions Architect?

In answering this question, focus on specific projects you've undertaken, highlighting your hands-on experience with machine learning techniques. Discuss the types of applications you've developed, the challenges faced, and how you successfully implemented ML pipelines. Providing clear examples will demonstrate your expertise to interviewers.

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Can you describe how you would approach overcoming technical blockers in customer accounts?

Explain your strategy for identifying and analyzing technical blockers during your interactions with customers. Discuss collaborative solutions you've provided in the past and how you navigate these challenges. Providing a structured approach can assure interviewers of your problem-solving skills and customer-centric attitude.

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How do you stay updated on the latest trends in AI and machine learning?

Share the specific resources you use to keep your knowledge current, such as publications, conferences, online courses, or community forums. This shows your commitment to professional growth and your proactive approach to industry trends. Mention any contributions you’ve made to conferences or tech communities.

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What is your experience with designing AI systems using open-source frameworks?

Offer examples of frameworks like TensorFlow or PyTorch that you've employed in system design. Detail the projects, your role, and the outcomes of using these frameworks. Emphasize how this experience contributes to your capability as a solutions architect.

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How would you communicate complex technical concepts to a non-technical audience?

Outline your approach to breaking down technical jargon into relatable terms. Use past experiences to illustrate your success in conveying difficult concepts during presentations or workshops. Interviewers will appreciate your ability to engage and educate varied audiences.

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Describe a successful AI implementation project you were involved in.

Highlight your role in the project, the objectives, and the key outcomes achieved. Focus on how you handled challenges and coordinated with different teams, emphasizing your project management and collaboration skills. Providing specific metrics of success can further strengthen your response.

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What does the term MLOps mean to you, and why is it important?

Discuss MLOps as a crucial aspect of operationalizing machine learning models. Explain how it integrates development and operations to automate the deployment process. Your understanding of CI/CD solutions will be key here, so emphasize any experiences you have in this area.

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Can you explain your experience with technical sales and how it relates to the AI Specialist Solutions Architect role?

Illustrate your background in technical sales, focusing on how it enabled you to understand customer needs better. Give examples of how your sales experience informs your work as an architect, affecting your approach in solution design and customer interactions.

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How do you prioritize tasks when working on multiple AI projects simultaneously?

Discuss your time management strategies, such as employing project management tools or methodologies. Give examples of how you've successfully juggled multiple priorities and communicated effectively with stakeholders to ensure timely delivery.

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Why do you want to work as an AI Specialist Solutions Architect at Red Hat?

Connect your personal values and career goals with the mission and culture of Red Hat. Highlight your passion for open-source solutions and how your skills align with Red Hat's innovative approach. This will help convey your enthusiasm and cultural fit.

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DATE POSTED
April 22, 2025

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