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Job Summary:
Red Hat is looking for an AI Sr. Specialist Solution Architect in Seoul, Korea.
Primary Responsibilities:
Work with the customer Account Executive, Sales Specialist, and Solution Architect to identify challenges and blockers to drive RHOAI consumption within new and existing customer accounts
Plan, design, and execute AI systems via RHOAI 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 RHOAI
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
Required Qualifications
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, 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 in Korean.
Two or more of the following is a plus:
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
Industry vertical experience with Data Science projects. i.e. - expertise in FSI, medical, defense, and intelligence verticals
Community brand in volunteer tech communities like AI Users Group or open-source projects
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