AI Specialist

Position Overview

We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the UK region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions.

Key Responsibilities

• 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. Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge.
• Technical Expertise: Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security. Provide hands-on technical guidance to AI/ML teams during critical projects. Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings.
• Customer Engagement: Deliver compelling technical presentations, workshops, and demonstrations to customers and partners. Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads.
• Team Collaboration: Collaborate with product teams, fostering a culture of innovation, learning, and excellence. Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives. Contribute to thought leadership through blog posts, white papers, quickstarts and industry events.

Technical Requirements

Essential

• 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.

Personal Attributes

• Visionary Thinking: Ability to anticipate industry trends and align technical sales strategies accordingly.
• Exceptional Communication: Skilled at translating complex technical concepts into accessible language for diverse audiences.
• Customer-Centric: Deeply invested in understanding and addressing customer needs.
• Collaborative Leadership: Proven ability to inspire, mentor, and unify cross-functional teams.