Cisco AI Solutions Engineer 

Brazil, São Paulo, São Paulo 

63162127

We 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 improve their business operations. This position requires a deep understanding of AI infrastructure technologies and experience in conveying technical concepts to a diverse audience.

You 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 designing, developing, and promoting AI solutions, addressing any challenges that arise. Travel will be required as needed to meet with clients and attend industry events.

• 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.
• Strong English knowledge

• Bachelor’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.
• Excellent presentation and communication skills, with the ability to deliver engaging workshops on AI topics to both technical and non-technical audiences.
• Shown soft skills such as collaboration, problem-solving, customer engagement, and advocacy.
• Strong Spanish Knowlege is a plus