Senior Solutions Architect - AI/ML - Services Delivery

Jobtailor; Deutschland; Vor Ort; EUR 131.613 - 184.258; Vollzeit

Zusammenfassung

Snowflake seeks an experienced Senior Solutions Architect - AI/ML to help customers expand their use of the Snowflake Data Cloud, designing Snowflake-centric AI/ML architectures and pipelines. You will lead technical discussions, develop POCs, and mentor delivery teams across customer projects.

Ideal candidates have 5+ years in AI/ML with pre-/post-sales experience, strong exec presentation skills, and deep knowledge of ML lifecycle and cloud platforms.

Qualifikationen

• 5+ years in AI/ML with customer-facing roles.
• Strong ability to present to technical and executive audiences.
• Experience architecting Snowflake-centric AI/ML solutions.
• Hands-on with SQL and Python; capable of building POCs.
• Familiarity with AWS, Azure, or GCP and ML platforms.

Aufgaben

• Be a technical expert on Snowflake in relation to AI/ML workloads and provide best practices.
• Work with customers to understand AI/ML use cases and architect Snowflake-centric solutions.
• Design and deploy AI/ML pipelines using Snowflake features and ecosystem.
• Build POCs with SQL, Python to demonstrate techniques.
• Transfer knowledge to enable customers to extend Snowflake capabilities.
• Maintain awareness of competitive AI/ML tech and position Snowflake accordingly.
• Guide resolution of customer-specific technical challenges.
• Support Services Delivery team in developing expertise.
• Collaborate with Product, Engineering, and Marketing to improve Snowflake products.

Kenntnisse

AI/ML concepts

Pre-sales

Executive communication

SQL

Python

Cloud platforms

MLOps

Snowflake knowledge

Ausbildung

University degree

Tools

Databricks

TensorFlow

PyTorch

LangChain

LangGraph

Snowflake

Jobbeschreibung

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 needed using SQL, Python, and Cortex AI features to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the AI/ML workload.
• Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own.
• Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them.
• Provide guidance on how to resolve customer-specific technical challenges.
• Support other members of the Services Delivery team develop their expertise.
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

OUR IDEAL SOLUTION ARCHITECT - AI/ML WILL HAVE:

• Minimum 5 years experience working with customers in a pre-sales or post-sales technical role.
• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• Thorough understanding of the common generative AI and agent lifecycles including document ingestion, vector embedding selection, llm selection and optimization, genAI monitoring and evaluation techniques.
• Thorough understanding of the complete ML life-cycle including feature engineering, model development, model deployment and model management.
• Strong understanding of AI/MLOps, coupled with technologies and methodologies for deploying and monitoring models and agents.
• Experience and understanding of at least one public cloud platform (AWS, Azure or GCP).
• Experience with at least one AI/ML platform such as AWS Sagemaker, Databricks, GCP and Vertex AI, AzureML, Dataiku, Datarobot, etc.
• Hands‑on scripting experience with SQL and at least one of the following; Python, Java or Scala.
• Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn, LangChain/LangGraph, LlamaIndex or similar.
• University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience.

BONUS POINTS FOR HAVING:

• Experience with Databricks/Apache Spark.
• Experience implementing data pipelines using ETL tools.
• Proven success at enterprise software.
• Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.

Compensation

$160K – $210K