Solutions Engineer

**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. Alongside our colleagues, Cloud & AI Infrastructure builds the sales strategy, activates sellers and technical communities, and accelerates selling.
**Who You Are**:
- 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 (must), 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).
**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.

**Why Cisco?**

With Cisco, you're not just embracing the future - you're helping create it. We are focused on integrating AI into our solutions to transform collaboration, security, networking, observability, and more. We are innovating ethical AI products and infrastructure that enable our customers to stay ahead of cyberattacks, predict and prevent network outages, and make team meetings more productive. Our extensive data sets and broad customer reach means limitless possibilities for you to build impactful AI solutions that solve a wide array of real-world problems. Join us at Cisco where you will innovate with top AI experts and be a part of our mission to power an inclusive future for all. #WeAreCisco
**U.S. employees have **access** to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.