Job
Description
What Youll Do We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries. You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations. This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience. Who Youll Work With The Cloud and AI Infrastructure team is responsible for helping customers change their business using Cisco technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage. Who You Are Youre energized by the fast-paced landscape in IT and how AI is changing the world. You love technology and thrive in solving complex problems. You are an amazing presenter and can translate complex technical scenarios into a simple easy to understand message. You inspire those around to use technology in innovative ways and use a hands-on methods to demonstrate your ideas. Minimum Qualifications : 10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI). Good understanding of programming/scripting languages Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions. Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems. Excellent presentation skills ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred Qualifications : Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus. Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc). In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar. Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc). Expertise in training and fine-tuning AI models on premise or in cloud environments. Familiarity with containerization (k8 etc).
