Solutions Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Solutions Architect (AI): Shaping how the world perceives and adopts the next generation of AI-driven digital experiences with an accent on ensuring clients understand and leverage ’s platform to its fullest. Focus on driving technical sales success, solving customer challenges, and fostering strategic partnerships.
Location: Hybrid work culture with hubs across regions
Company
delivers the industry’s most advanced platform for Any API, Any Event, and Any AI Agent, trusted by global leaders like Michelin, Roche, and Blue Yonder.
What you will do
- Drive technical sales success by partnering with Account Executives and demonstrating ’s value.
- Understand and solve customer challenges through discovery sessions, product demos, and Proof of Concepts (PoCs).
- Support and grow existing accounts by collaborating with Customer Success Managers and Technical Account Managers.
- Foster strategic partnerships to explore new opportunities and technical collaborations.
- Shape the future of by influencing product evolution and contributing to content initiatives.
Requirements
- 3+ years in a Solutions Architect, Solutions Consultant or Solutions Engineering role for a B2B vendor.
- A track record of providing solutions and engaging with technical customer personas.
- Excellent communication skills and the ability to present advanced technical topics.
- Experience working in middleware technology, ideally within API management, IAM or integration.
- Good knowledge of REST, JSON and XML.
- Fluent in French or German.
- Hands-on experience with cloud providers (AWS, Azure, GCP).
- Understanding of Kubernetes, Docker, continuous integration and continuous delivery processes, as well as experience with Linux.
- Creativity and innovation to come up with new material to have people discovering and learning about .
Nice to have
- Understanding of Event Driven Architectures and APIs.
- Understanding of OAuth2 and OpenID Connect.
- Knowledge of Kafka, gRPC, GraphQL.
- Hands-on experience with LLMs or AI Agent frameworks or platforms.
- Some scripting experience, ideally with Java or JavaScript/Python.
Culture & Benefits
- Competitive medical coverage and pension/401k program options.
- Stock options.
- 25 days holiday + in-country national holidays.
- 3 mental health days + wellness allowance.
- Professional development budget.
- Hybrid work culture with hubs across regions.
- Quarterly team events + annual offsite.
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