Cisco Pre 

United States, Georgia, Atlanta 

351833402

The required location for this role is Eastern, US

The application window is expected to close on December 11, 2024.

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

Your Impact
We are seeking a Solutions Engineer - Artificial Intelligence (AI) to join our dynamic sales team. As an SE (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.

You will build awareness, fostering education and driving energy for AI with both internal and external team members, partners, etc. You will also act as a link between technical teams, account teams, executives, partners/customers. In addition, you will show case AI solutions/products, its potential and promote its tactical and technical responsibilities. You will play an important role in the design, development and promotion of AI Solutions and address challenges. You will need to 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.

Proficiency in Python, MySQL, Github, Git, GO, ETL, OLAP, RDBMS, Scribus, AWS, Azure, Google, IBM Cloud, or other platforms and programming languages.

Experienced with databases (Oracle, PostgreSQL, MySQL, MongoDB, Cassandra, Redis, Snowflake, BigQuery) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face).

Ability to provide detailed and consumable documentation of standard methodologies for deployment around 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. 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.