.Engineer - Pre Sales and Product ManagementJob Type: ProfessionalJob Id: 1432324Travel required: 25% of the time depending on eventsWhat You'll DoWe are seeking a Solutions Engineer - Artificial Intelligence (AI) to join our dynamic sales team. In this role, you will drive the adoption of our AI infrastructure solutions across various industries. You will identify potential clients, understand their specific needs, and provide tailored solutions that enhance their business operations. This position requires a deep understanding of AI infrastructure technologies and experience in conveying technical concepts to a diverse audience.Who You'll Work WithThe Cloud + AI Infrastructure team delivers a scalable strategy with localized execution for data center customer transformation and growth. We serve as the American go-to-market engine for compute and data center networking, collecting market transitions and enabling sellers to expand customer growth for Cisco. Working alongside our colleagues, Cloud & AI Infrastructure develops sales strategies, activates sellers and technical communities, and accelerates the sales process.Who You AreYou will build awareness, foster education, and drive passion for AI among internal team members, external partners, and other customers. You will serve as a crucial link between technical teams, account teams, executives, and partners/customers. Additionally, you will showcase Cisco AI infrastructure solutions, highlighting their potential and promoting their tactical and technical benefits. You will play a vital role in the design, development, and promotion of AI solutions, addressing any challenges that arise. Travel will be required as needed to meet with clients and attend industry events.Minimum Qualifications:6+ years of technical pre-sales experience selling compute, storage, and network solutions.Experience with AI/ML (Transformers, Deep Neural Networks, Reinforcement Learning, ETL, Data Engineering, Data Processing PyTorch, Model Operations, AI Frameworks e.G. Langchain or similar)Experience with Python or Rust (must)Experience with hardware accelerators like GPUs and DPUs, including how they are used and sized to scale AI infrastructure.Preferred QualificationsBachelor's degree or equivalent experience in computer science, Computer Engineering, Electrical Engineering, or a related field.Experience with AI solutions from vendors such as Nvidia, AMD, Intel, Microsoft, Google, Meta, Dell, HPE, and others.Experience with Large scale Cloud, on premises and in memory Databases, Git, AWS, Azure, GCP, IBM Cloud, or other platforms and commonly used programming languages.Familiarity with deploying models in production environments, including cloud, edge, and on-premises solutions.Experience with containerization technologies (e.G., Docker) and orchestration tools (e.G., Kubernetes), serverless and other deployment technologies for scalable and efficient model deployment