обновлено 10 дней назад
AI Solutions Architect (Post-Sales, AI Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solutions Architect (Post-Sales, AI Security) (AI Security, Cloud, Customer Success): Deploying and integrating AI security solutions across customer cloud, on-premises, and hybrid environments with an accent on secure infrastructure, containerization, and cloud networking. Focus on troubleshooting deployments, enabling customer teams through technical training, and translating customer feedback into product improvements.
Location: Remote within the United States, preferably on the West Coast
Company
develops AI security solutions that protect AI technologies from adversarial attacks and help organizations adopt AI securely.
What you will do
- Partner with customers to design and implement secure deployments across cloud, on-premises, and hybrid environments.
- Provide technical guidance on infrastructure, Docker, Kubernetes, cloud networking, and secure AI operations.
- Own the post-sales technical relationship, helping customers achieve security objectives and scale deployments.
- Troubleshoot customer issues, optimize configurations, and identify improvement opportunities.
- Deliver workshops, training sessions, and technical documentation.
- Collect customer feedback and collaborate with product, engineering, and research teams on product enhancements.
Requirements
- Experience in post-sales, customer success, or solutions engineering, preferably with AI, security, or cloud products.
- Strong experience with Docker and containerized workloads; Kubernetes experience is highly desirable.
- Hands-on experience with AWS, Azure, or GCP, including cloud networking and Infrastructure as Code.
- Python programming experience is required.
- Ability to troubleshoot technical issues and guide customers through iterative solution design.
- Strong communication skills with both technical and business stakeholders.
Nice to have
- Experience with Kubernetes.
- Familiarity with AI/ML workflows, LangChain, LangGraph, or MLOps tools.
Culture & Benefits
- Fully remote work with intentional team gatherings a couple of times per year.
- Home-office setup stipend, annual workspace upgrades, and a monthly internet and phone stipend.
- Health, vision, dental, and 401(k) benefits, including fully subsidized healthcare options.
- Unlimited flexible time off and 15 paid company holidays for salaried employees.
- Learning and development fund for training, conferences, certifications, and industry events.
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