Senior Solutions Architect - AI/ML - Services Delivery
Application analysis
Senior Solutions Architect - AI/ML - Services Delivery at Snowflake is a forward deployed cloud data warehouse role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Solutions / Sales Engineering role centers on technical discovery, demos, POCs, and helping buyers build internal consensus. Key signals from the listing: Senior scope.
About Snowflake
Snowflake field engineers drive warehouse migrations and analytics modernization with enterprise buyers. The role is anchored in US-NC-Remote, so expect on-site customer work in that region.
Signals in the listing
Stand out for Senior Solutions Architect - AI/ML - Services Delivery
- Lead your application with one paragraph tying Senior Solutions Architect - AI/ML - Services Delivery to a specific customer or deployment you owned — Snowflake hires for shipped outcomes, not tool lists.
- Bring a tight demo narrative: customer pain, live workflow, and measurable before/after — treat the interview like a compressed POC.
- Show how you qualify opportunities and say no to bad-fit pilots; Snowflake values technical judgment in customer-facing roles.
- This role is tied to US-NC-Remote — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Snowflake
- Demonstrate SQL/ELT patterns with a concrete example — Snowflake will probe for specifics, not buzzwords.
- Demonstrate cost governance with a concrete example — Snowflake will probe for specifics, not buzzwords.
- Proof of running a successful migration or cost-optimization project beats generic cloud buzzwords.
- Read recent engineering blog posts, product launches, and customer stories on snowflake.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role 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. We are seeking experienced professionals with a strong background in Artificial Intelligence, Machine Learning, and Cloud Architecture to join our Services Delivery team to help create exciting new offerings and capabilities for our customers! In this strategic role, you will help customers expand their use of the Snowflake Data Cloud to bring AI/ML pipelines from ideation to full production. Leveraging Snowflake’s native features and extensive partner ecosystem, you will advise clients on best practices for scaling production-ready workloads. You will design tailored AI/ML solutions, coordinate closely with customer teams and Systems Integrators, and provide the technical leadership and oversight needed to ensure successful outcomes. AS A SR. SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL: - Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflakes technology stack. - Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery. - Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements. - Work hands-on where nee