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Red Hat logo
Red Hat

The leading provider of enterprise open source solutions.

AI Platform Solution Architect

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

Colombia

Posted

115 days ago

Salary

0

Seniority

Senior

Bachelor Degree4 yrs expEnglishAnsiblePythonPyTorchTensorFlow

Job Description

AI Platform Solution Architect

Red Hat

• 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

Job Requirements

  • 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.

Benefits

  • Health insurance
  • Flexible work arrangements

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