Enterprise AI Solutions Architect

hace 1 día

Ciudad de México, Ciudad de México Red Hat, Inc. A tiempo completo
Job Summary

You will be responsible for articulating the value proposition of our AI solutions to key stakeholders, including leadership, data scientists, developers, and IT teams. This entails conducting technical architecture walk-throughs, business-value conversations, customer-facing technical workshops, and implementing best practices in AI systems design and deployment.

You will collaborate closely with the AI business unit and engineering teams to test, document, and demonstrate cutting-edge features. Additionally, you will work with Red Hat's customer sales, Customer Success, Consulting Services, and partner teams to ensure a highly positive customer experience.

The role involves:

  • Working with the customer Account Executive, Sales Specialist, and Solution Architect to identify challenges and blockers to drive Red Hat AI adoption within new and existing customer accounts.
  • Designing and executing AI systems with customers, leveraging Red Hat's support and resources as needed, to architect and build data pipelines, ML pipelines, and ML training and serving approaches.
  • Facilitating pre- and post-sales activities, including technical deep dives, proofs of concept, 'bake-offs,' internal sprints, and hackathons, to drive adoption of Red Hat AI.
  • Identifying and partnering with AI customer stakeholders, acting as an advocate within both their line-of-business and internal customer teams.
  • Providing a market feedback loop on Red Hat's products and solutions to the AI business unit and engineering teams.
  • Executing community outreach and customer advocacy activities, such as conference speaking and blog posts.

To succeed in this role, you will bring:

  • Strong expertise in machine learning use case development, including hands-on experience with statistical programming languages (e.g., Python) and applied machine learning techniques.
  • Previous 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.

We offer:

  • A competitive salary range of $120,000 - $180,000 per annum.
  • A comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.
  • Opportunities for professional growth and development, including training programs and career advancement opportunities.
  • A dynamic and inclusive work environment, with a commitment to diversity, equity, and inclusion.

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