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AI Specialist

Snowflake
GB-United Kingdom-RemoteremoteMar 26, 2026·Posted 16 days ago
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Domain

Tech Stack

SnowflakePythonpandasnumpysklearnmatplotlibpytorchSnowpark

Must-Have Requirements

  • Experience with LLMs and related technology (vector databases, embeddings)
  • Python programming ability to code working AI/ML prototypes
  • Machine learning experience with standard Python stack (pandas, numpy, sklearn, matplotlib, pytorch)
  • Ability to architect complex, scalable solutions
  • Technical sales skills
  • Solution design expertise across diverse industries

Nice to Have

  • -Snowflake AI/ML ecosystem experience
  • -Data engineering experience
  • -ML Ops experience (feature stores, model registries, observability)
  • -DevOps and CI/CD experience
  • -Snowpark Python experience
  • -Knowledge of emerging AI trends and agents

Description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

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.

Resilience

Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes.

Integrity and Empathy

Embodying transparency, honesty, and understanding in all professional interactions.

Internal Motivation

Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement. Why Join Us? This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information

careers.snowflake.com