Job description

About Us Cisco is a leading technology company that powers an inclusive future. We believe in the importance of diversity and equality, and we're committed to making a positive impact on the world. We have a strong focus on innovation and customer satisfaction, and we're always looking for talented individuals who share our values to join our team. As a Solutions Engineer at Cisco, you'll be part of a dynamic sales team that drives the adoption of our AI solutions across various industries. You'll identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations. Your Role You'll play a pivotal role in facilitating the success of the Cisco Field Sales teams in selling the full suite of Cloud and AI infrastructure solutions. You'll help them position data center virtualization and systems architecture solutions successfully against complicated offerings. You'll be passionate about presales engineering activities, demonstrating solutions and architectures in Cloud and AI infrastructure. You'll work closely with technical teams, account teams, executives, partners, and customers to build awareness and drive energy for AI. Requirements • 6+ years of experience in any combination of Datacenter, Storage, Compute, Apps, Big Data, Converged Infrastructure, AI infrastructure or Data Center Networking experience. • Public, hybrid, and private cloud computing and architecture experience along with Virtualization or X86 Architectures or Operating Systems. • Knowledge and understanding of networking protocols and technologies. 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 Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree is a plus. Excellent presentation skills - ability to deliver engaging workshops to both technical and non-technical audiences on AI topics. AI experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors. In-depth understanding of language models, including but not limited to GPT-3, BERT, or similar architectures. Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure. Familiarity with containerization technologies (e.g., Docker or equivalent experience) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.

Requirements