AI Specialist
Role Overview
This senior-level AI Specialist role involves solution selling and strategic leadership, acting as a trusted advisor to customers and internal stakeholders in the UK region. Day-to-day responsibilities include designing and implementing complex AI/ML solutions, delivering technical presentations, and collaborating with cross-functional teams to drive sales and innovation. The hire will impact customer adoption and industry trends through hands-on technical guidance and thought leadership.
Perks & Benefits
The role is fully remote, likely requiring alignment with UK time zones for customer engagement, and offers opportunities for career growth in a fast-growing company with a culture focused on impact and innovation. Benefits may include competitive compensation, professional development through industry events, and a collaborative environment that values integrity and resilience, though specific details are not provided in the posting.
Full Job 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
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