Solutions Engineer - GES Premier

About the position

We are seeking a Solutions Engineer to join our dynamic sales team. As an SE, 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 Data Center Compute & Networking.

Responsibilities

• Drive the adoption of AI solutions across various industries.
• Identify potential clients and understand their specific needs.
• Provide tailored AI solutions that enhance business operations.
• Build awareness and foster education about AI with internal and external team members.
• Act as a link between technical teams, account teams, executives, and partners/customers.
• Showcase AI solutions/products and promote their tactical and technical responsibilities.
• Play an important role in the design, development, and promotion of AI Solutions.
• Address challenges related to AI solutions.
• Travel as needed to meet with clients and attend industry events.

Requirements

• 6+ years of technical presales experience selling Compute, Storage, and Network solutions.
• Experience in Python, and/or other platforms and programming languages such as MySQL, Github, Git, GO, ETL, OLAP, RDBMS, Scribus, AWS, Azure, Google or IBM Cloud.
• Experience with one or more databases such as Oracle, PostgreSQL, MySQL, MongoDB, Cassandra, Redis, Snowflake or BigQuery.
• Experience in AI/ML frameworks such as scikit-learn, TensorFlow, PyTorch or Hugging Face.
• Experience providing consumable documentation of standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise edge, and/or AI/ML solutions.

Nice-to-haves

• 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.

Benefits

• Quality medical, dental and vision insurance.
• 401(k) plan with a Cisco matching contribution.
• Short and long-term disability coverage.
• Basic life insurance.
• Numerous wellbeing offerings.
• Up to twelve paid holidays per calendar year.
• Paid time off for volunteering and giving back to the community.
• Flexible Vacation Time Off policy for exempt new hires.