Cloud and AI Solutions Engineer
2 days ago
Synopsis:
- Develop and implement scalable, secure, and resilient cloud-based architectures that support AI-driven workloads and mission-critical applications.
About the Role:
As a Cloud and AI Digital Solutions Architect, you will collaborate with customers to modernize their infrastructure, accelerate AI innovation, and unlock the full potential of cloud computing. You will work closely with business and technical stakeholders to design and implement secure, scalable, and resilient cloud architectures that power AI workloads and mission-critical applications.
You bring deep expertise in migrating and modernizing workloads such as Windows, SQL Server, Linux, PostgreSQL, and Oracle using cloud-native capabilities. You will guide customers through strategies for rehosting, replatforming, and refactoring applications, leveraging containerization with Kubernetes and exploring how AI and intelligent agents can accelerate their transformation journey.
With a strong foundation in networking, you will design hybrid and cloud-native solutions, leveraging technologies like VPNs, virtual networks, and secure routing while integrating trusted partner platforms including NetApp, VMware, Red Hat, and SAP.
As part of this role, you will have access to a wide range of learning resources and support to grow your skills, including certifications in cloud infrastructure, security, and AI.
You will help customers build cloud environments that are not only future-ready but also aligned with regulatory and enterprise standards.
Responsibilities:
- Drive technology sales by leveraging product demonstrations, proofs of concept, and architectural accelerators to influence solution design and enable successful deployments.
- Lead detailed architecture design sessions and technical workshops to support and accelerate adoption of cloud-based solutions.
- Build trusted relationships with platform leaders to co-design secure and scalable cloud solutions.
- Collaborate with engineering teams to resolve technical challenges and share customer insights to inform product improvements.
- Maintain deep expertise in cloud migration, including workloads such as Microsoft Windows, SQL Server, Linux, PostgreSQL, and application modernization.
- Expand knowledge of enterprise applications, including SAP and Oracle, as well as cloud-based services.
- Represent the organization in customer forums and technical communities, contributing thought leadership and industry expertise.
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