What You’ll Do
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.
Who You’ll Work With
The Cloud + AI Infrastructure team delivers one scalable strategy with local execution for data center customer transformation and growth. We are the worldwide go-to-market compute and data center networking engine gathering market transitions and allowing sellers to expand growth for customers and Cisco.
Who You Are
You will build awareness, foster education, and drive 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. Also, you will showcase 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:
1. 6+ years of technical presales experience selling Compute, Storage, and Network solutions.
2. Proficiency in Python (must), MySQL, Github, Git, GO, ETL, OLAP, RDBMS, Scribus, AWS, Azure, Google, IBM Cloud, or other platforms and programming languages.
3. Experienced with databases (Oracle, PostgreSQL, MySQL, MongoDB, Cassandra, Redis, Snowflake, BigQuery)
4. Working practical experience with AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face).
5. Excellent presentation skills – ability to deliver engaging workshops to both technical and non-technical audiences on AI topics
6. 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
7. Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree is a plus.
8. AI experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors
9. In-depth understanding of language models, including but not limited to GPT-3, BERT, or similar architectures.
10. Familiarity with containerization technologies (e.g., Docker or equivalent experience) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment