Cisco Solutions Engineer Neo Cloud Provider 

United States, Georgia, Atlanta 

160680751

The application window is expected to close on:June 1, 2025

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Your Impact

As a Solutions Engineer - Artificial Intelligence (AI), you will 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 and experience relaying technical concepts to a diverse audience.

• Build awareness, fostering education and driving energy for AI with both internal and external team members, partners, etc.
• Act as a link between technical teams, account teams, executives, partners/customers.
• Showcase AI solutions/products, its potential and promote its tactical and technical responsibilities.
• Play an important role in the design, development and promotion of AI Solutions and address challenges.
• Travel as needed to meet with clients and attend industry events.

Minimum Qualifications:

• 6+ years of technical presales experience selling Compute, Storage, and Network solutions.
• Understanding of Python or GO and familiarity with database systems such as: MySQL, Oracle, PostgreSQL, MongoDB, Cassandra, Redis, Snowflake or BigQuery.
• Knowledge of data processing methodologies such as ETL (Extract, Transform, Load) and OLAP (Online Analytical Processing)
• Familiarity with cloud platforms such as: AWS (Amazon Web Services), Azure, Google Cloud and IBM Cloud
• Experience writing proof of concept and creating documentation for deployment focusing on application acceleration, automation/management efficiencies, enterprise edge, and AI/ML solutions

Preferred Qualifications:

• Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• Presentation skills with the ability to deliver engaging workshops to both technical and non-technical audiences on AI topics
• Experience with version control tools and platforms such as Git and Github
• AI experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors
• Understanding of language models (LLMs), such as GPT-3, BERT, or similar
• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Experience in deploying LLM in cloud environments and on-premises infrastructure.
• Familiarity with containerization technologies for scalable and efficient model deployment, such as Docker, Kubernetes or similar