Cisco Solutions Engineer 

United States, Georgia, Atlanta 

818679506

The application window is expected to close on: 5/23/25

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Your Impact

As a Cloud and AI Infrastructure Solutions Engineer, you will play a pivotal role in facilitating the success of the Cisco Field Sales teams in selling and enhancing the full suite of Cloud and AI infrastructure solutions. You will help them position data center virtualization and systems architecture solutions effectively against competing offerings. You will be passionate about presales engineering activities, demonstrating solutions and architectures in Cloud and AI infrastructure.

You will build awareness, fostering education and driving energy for Cloud and AI with both internal and external team members, partners, etc. You will also act as a link between technical teams, account teams, executives, partners/customers. In addition, you will show case Cloud and AI solutions/products, its potential and promote its tactical and technical responsibilities. You will play an important role in the design, development and promotion of the technical solutions and address challenges. You will need to travel as needed to meet with clients and attend industry events.

Minimum Qualifications:

• Experience with end-to-end architecture/design work across multiple technology areas for DC and hybrid cloud solutions.
• Public, hybrid and private cloud computing and architecture experience along with Virtualization or X86 Architectures or Operating Systems
• Experienced in the design and/or deployment of Data Center solutions including traditional DC standalone design, VXLAN fabric-based architectures.
• Experience providing consumable documentation of standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise edge, and/or AI/ML solutions.

Preferred Qualifications:

• 6+ years knowledge of any combination of Datacenter, Storage, Compute, Apps, Big Data, Converged Infrastructure, AI infrastructure or Data Center Networking experience
• Bachelor's Degree or equivalent in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree is a plus.
• Knowledge and understanding of networking protocols and technologies.
• Excellent presentation skills – ability to deliver engaging workshops to both technical and non-technical audiences on Data Center, Cloud, and/or AI topics
• AI experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors
• Familiarity with ML and LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Experience working with and/or supporting containerization technologies (e.g., Docker or equivalent experience) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.