You will be part of the Cisco Networking – Compute Solution Engineering team focusing on the design, development, and documentation of Cisco on-premises and hybrid cloud AI solutions to support customer use-cases and business objectives.

What You'll Do

• Design and Develop Solutions: Create and document Cisco on-premises and hybrid cloud solutions, integrating AI/ML frameworks and tools to enhance capabilities and meet customer use-cases and business objectives.
• Implement and Integrate Architectures: Deploy and integrate architectures with technologies such as Cisco Intersight, Cisco Nexus, Cisco UCS, and AI/ML platforms (e.g., TensorFlow, PyTorch).
• Streamline DevOps and Automation: Employ CI/CD tools and practices, containerization (Docker), and orchestration (Kubernetes) to streamline AI/ML model deployment and infrastructure management.
• Supervise Infrastructure Management: Use infrastructure as code (IaC) tools like Terraform or Ansible to manage and automate AI/ML infrastructure.
• Ensure Networking and Security: Implement robust network protocols and security best practices for AI/ML pipelines.
• Drive Customer Success: Enable technology adoption, capture future product and solution requirements, and drive customer success by integrating AI/ML capabilities.
• Develop Technical Content: Create and deliver technical content and collateral, such as Cisco Validated Designs (CVDs), demo videos, whitepapers, and industry event presentations, incorporating AI/ML insights and applications.

Who You’ll Work With

You will work closely with peer technical marketing engineers, product managers, and engineering teams responsible for designing and delivering Cisco on-premises and hybrid cloud solutions with Cisco’s Unified Computing System and Intersight services. In addition, you will work closely with the Cisco field, our channel partners, and technical partners to drive customer adoption.

Who You Are

• You have a strong understanding of on-premises data center infrastructure (compute, network, and storage) and AI/ML technologies.
• You are proficient in programming languages such as Python, or Golang with experience in AI/ML frameworks and libraries.
• You have experience with data preprocessing and data visualization.
• Infrastructure Management: You are knowledgeable in infrastructure as code (IaC) tools like Terraform or Ansible.
• You understand network protocols and security best practices for AI/ML pipelines.