Ai Senior Specialist Solution Architect South Korea jobs at Red Hat in Argentina, San Carlos De Bariloche

What you will do

• Act as a thought leader and trusted advisor in Edge computing, demonstrating expertise in Red Hat’s portfolio and how it supports the Automotive Edge market.

• Shape and drive Edge strategy by defining repeatable, scalable architectures that accelerate customer adoption of Red Hat’s Edge solutions on software-defined vehicles

• Lead customer engagements by translating the capabilities of Red Hat solutions into value-driven Edge initiatives.

• Promote customer-centricity and ensure focus on creating great customer experiences to achieve competitive advantage

• Evangelize Red Hat’s vision for Automotive Edge across our ecosystem of SoC, Tier-1, ISV and GSI partners

• Collaborate with internal teams and automotive stakeholders to drive innovation and support the evolution of Edge technologies.

• You must have solid leadership, technical, and executive engagement skills to guide alignment across a wide range of Red Hat’s and ecosystem stakeholders while representing Red Hat's global business in support of Red Hat’s sales, partner, and customer business needs.

• Advocate for ecosystem needs internally, ensuring Red Hat’s product and service offerings are aligned with key automotive requirements.

• Act as a senior representative at automotive events and executive briefings, building Red Hat’s brand presence and credibility within the automotive sector.

What you will bring

• 8+ years of experience in solutions architecture, technical partnerships, or product management within the technology industry.

• Deep understanding of the automotive technology ecosystem, including Edge computing, hybrid cloud, and potential open-source solutions.

• Strong ability to create and communicate technical strategies, develop scalable architectures, and provide technical leadership across multiple teams.

• Strong ability to work cross-functionally and influence senior leadership across product, engineering, and sales teams.

• Ability to think strategically about business, product, and technical challenges

• Architectural skills - ability to build large-scale industrial automation technology architectural designs and organize it in a milestone driven implementation plan.

• Experienced in developing repeatable solutions

• Ability to build relationships and communicate effectively with technical and functional business areas becoming the “trusted advisor”

• Extensive technical architectural background in one or more of Red Hat's portfolio technologies (or a competitor’s solutions), with the ability to quickly ramp capabilities on new technology.

• Experience leading high-impact customer engagements, driving digital transformation initiatives, and influencing C-level stakeholders.

• Excellent presentation, communication, and writing skills in English; additional language proficiency is a plus.

• Bachelor's degree in engineering, or a related field required

Primary Responsibilities:

• 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

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/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

• 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