Red Hat

1 month ago

EMEA Specialist Solution Architect, AI - Ecosystem

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Technical presales specialist focused on AI; articulates Red Hat’s value to partners, leads architecture workshops, and guides labs and proofs-of-concept to drive adoption of Red Hat AI platforms across the EMEA ecosystem.

Location: Sweden, Italy, Switzerland

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Deliver technical presentations, including deep-dive demos and workshops, with minimal supervision.
•Develop technical responses for RFx (RFI/RFP/RFQ) and architecture designs.
•Partner enablement: collaborate with partner architects, account managers and sales to identify challenges and drive Red Hat AI adoption.
•Plan, design, and implement AI systems with partners; architect data and ML pipelines and training/serving approaches.
•Drive ecosystem adoption through technical deep dives, proofs of concept, bake-offs, and mentor junior team members.

Key Requirements

•2–3+ years in machine learning use case development or ML operations design, including building AI applications (e.g., deep learning, NLP, computer vision) and practical experience with Python and OSS frameworks (e.g., TensorFlow, PyTorch)
•Experience with CI/CD in ML contexts and infrastructure as code (e.g., Ansible)
•Strong communication and presentation skills with experience delivering technical workshops and business-value sessions
•Ability to architect and explain data pipelines, ML pipelines, and training/serving approaches; experience designing AI systems
•Willingness and ability to learn new technologies quickly and work with partners across multiple regions

Experience:2+ yearsAIMachine LearningData science

Education:Bachelor's

Skills:CommunicationPresentationPublic speakingCollaboration

Tech Stack:PythonTensorFlowPyTorchCI/CDAnsibleIaC

Company Brief

Red Hat

Provides enterprise open-source software solutions, including Red Hat Enterprise Linux, middleware, cloud, container, and Kubernetes technologies, delivering support, services, and solutions for hybrid cloud environments.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Unicorn (USD 1B+)

Funding: IPO / Publicly Listed

Headquarters: Raleigh, United States

Founded: 1993

Website LinkedIn

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Red Hat

1 month ago

EMEA Specialist Solution Architect, AI - Ecosystem

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Sweden, Italy, Switzerland

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Deliver technical presentations, including deep-dive demos and workshops, with minimal supervision.
•Develop technical responses for RFx (RFI/RFP/RFQ) and architecture designs.
•Partner enablement: collaborate with partner architects, account managers and sales to identify challenges and drive Red Hat AI adoption.
•Plan, design, and implement AI systems with partners; architect data and ML pipelines and training/serving approaches.
•Drive ecosystem adoption through technical deep dives, proofs of concept, bake-offs, and mentor junior team members.

Key Requirements

•2–3+ years in machine learning use case development or ML operations design, including building AI applications (e.g., deep learning, NLP, computer vision) and practical experience with Python and OSS frameworks (e.g., TensorFlow, PyTorch)
•Experience with CI/CD in ML contexts and infrastructure as code (e.g., Ansible)
•Strong communication and presentation skills with experience delivering technical workshops and business-value sessions
•Ability to architect and explain data pipelines, ML pipelines, and training/serving approaches; experience designing AI systems
•Willingness and ability to learn new technologies quickly and work with partners across multiple regions

Experience:2+ yearsAIMachine LearningData science

Education:Bachelor's

Skills:CommunicationPresentationPublic speakingCollaboration

Tech Stack:PythonTensorFlowPyTorchCI/CDAnsibleIaC

Company Brief

Red Hat

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Unicorn (USD 1B+)

Funding: IPO / Publicly Listed

Headquarters: Raleigh, United States

Founded: 1993

Website LinkedIn