Solution Selling: The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales.
Strategic Leadership: Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals.
Technical Expertise: Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security.
Customer Engagement: Deliver compelling technical presentations, workshops, and demonstrations to customers and partners.
Team Collaboration: Collaborate with product teams, fostering a culture of innovation, learning, and excellence.

Generative AI: Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents
Machine Learning: Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc.
Programming: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python)
Solution Design: Demonstrated ability to architect complex, scalable solutions across diverse industries
Highly Desirable: Snowflake Experience: experience with the Snowflake AI/ML ecosystem
Data Engineering: while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial
ML Ops: Experience in ML Ops including feature stores, model registries, observability
DevOps and CI/CD: Experience of DevOps practices and CI/CD pipelines

AI Specialist

Key skills