AI Solutions Engineer

Locations: US Remote but prefers NY, Atlanta GA, Boston MA, Washington DC and Miami, FL,

The AI Software & Platform Team delivers AI products so businesses around the world defend against threats and safeguard the most important aspects of business with security resilience. We are passionate about making businesses secure and simplify security with zero compromise.

The Sales Engineer serves as a technical expert in the sales process, working closely with the sales team to provide technical knowledge and support to prospective clients. This role involves understanding customer requirements, demonstrating product capabilities, and ensuring successful technical integration of solutions.

Technical Expertise and Support:

• Provide technical support and guidance during the sales process by identifying customer needs and aligning them with product capabilities.
• Develop and deliver technical presentations and demonstrations to prospective clients.

• Collaborate with clients to design customized solutions that meet their specific requirements.
• Work with product development teams to ensure customer feedback is incorporated into future product releases.

• Build and maintain strong relationships with clients by serving as their technical advisor.
• Address and resolve technical inquiries and concerns raised by clients.

• Assist in the preparation of technical proposals and documentation to support sales efforts.
• Ensure all technical aspects of proposals are accurate and clearly articulated.

• Work closely with sales, product management, and engineering teams to ensure a cohesive approach to customer engagement.
• Provide training and support to the sales team on product features and technical specifications.

• Stay up-to-date with industry trends, competitor products, and emerging technologies.
• Continuously expand knowledge of product offerings and technical specifications.

• Bachelor's degree in Engineering, Computer Science, or a related field.
• Proven experience in a technical sales or engineering role,
• Required to have worked in AI and Enterprise SaaS or Security
• Knowledge of Docker, Kubernetes, Python, REST
• Familiarity with different cloud platforms and their ML products (AWS Sagemaker, GCP Vertex AI, etc.)

• Familiarity with tooling and platforms in the ML ecosystem (Huggingface, MLFlow, Databricks, DataRobot, etc.)
• Expertise in AI, ML, data science, or related spaces; general knowledge of statistics and applied ML
• Familiarity with the artificial intelligence ecosystem; familiarity with how data scientists and machine learning engineers develop and deploy AI models

#WeAreCisco

#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

#LI-LP1