3 дня назад
Pre-Sales Solution Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Pre-Sales Solution Architect (AI) (AI infrastructure and application security): Designing and positioning F5 solutions for AI data center infrastructures and AI applications with an accent on AI application architectures, cloud-native patterns, and secure data delivery. Focus on advising strategic customers, translating business needs into architectures, and educating sales engineering, product, and customer teams through technical demonstrations and thought leadership.
Location: London; North and Western Europe region. Travel of up to 50% may be required.
Company
develops technology for application delivery, application security, and digital experience protection, including solutions for the AI era.
What you will do
- Identify strategic opportunities involving AI infrastructure and AI applications, and embed technology into customer solutions.
- Discover customer needs with Sales and position appropriate application delivery and security solutions.
- Advocate for customer requirements and collaborate with Product Management, Product Engineering, Marketing, services, and other Solution Architects.
- Act as an AI evangelist and thought leader through presentations, demonstrations, whitepapers, training, blogs, and technical content.
- Share customer pain points and industry trends to influence product architecture, design, launches, and updates.
- Mentor the Solution Engineering community as needed.
Requirements
- Senior pre-sales experience in AI technology, business opportunities, and customer-facing solution architecture.
- Knowledge of AI application architectures and components, including large language models, orchestrators, agents, and tools.
- Knowledge of AI infrastructure, data center network designs, AI Factory reference architectures, and Nvidia reference architectures.
- Knowledge of AI application security, storage technologies, and efficient data delivery for AI training, fine-tuning, and inference.
- Knowledge of cloud-native patterns, including Kubernetes, APIs, microservices, and service mesh.
- 8+ years of related industry experience, strong executive communication and presentation skills, and a BS/BA degree or equivalent experience.
Nice to have
- Familiarity with products and the broader technology ecosystem.
- Relevant professional certifications.
- Experience speaking at industry or customer events and publishing technical content.
Culture & Benefits
- Training and certification support for evolving AI and technologies.
- Career growth and professional development opportunities.
- Competitive pay and family-friendly benefits.
- Tuition assistance for professional development.
- Diversity and inclusion interest groups and a culture of giving back.
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