Senior AI Lead -Snowflake
About The Position
The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions. The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients. For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges. You Are A Senior Forward Deployed Technology lead, leading the modernization of customer data and application ecosystems on the Snowflake AI Data Cloud, with deep focus on enterprise data workloads. You partner with technology and business leaders to architect scalable Snowflake solutions, champion best practices across customer engagements, and serve as a trusted technical advisor ensuring customers achieve significant business value with Snowflake.
Requirements
- Bachelor’s degree or completion of a college program in a related discipline
- 10 years of experience in Python, Java, or equivalent.
- Comfortable with evaluation tooling, logging, monitoring, and observability.
- 5 years of experience on the Snowflake AI Data Cloud and large-scale data projects (Snowpark, Dynamic Tables, Streams & Tasks, Snowsight).
- You've also built API layers that expose data and AI/ML capabilities to enterprise systems.
- 4 years of experience deploying and operating production systems with CI/CD, infrastructure as code, and observability tooling.
- Practical MLOps and LLMOps experience: CI/CD across the ML and LLM lifecycle covering model training, evaluation harnesses, model serving, monitoring, and prompt management.
- 1 year experience in designing and shipping agentic AI solutions in production, experience with agentic orchestration tools (LangGraph, CrewAI, AutoGen, or similar).
- Hands on with Snowflake Cortex AI: Cortex Search, Cortex Analyst, Cortex LLM functions.
- You've built RAG and multi-agent systems on the Snowflake AI Data Cloud.
- Experience working with AI platforms across OpenAI, Claude, Vertex AI, and open-source models.
- English is required for this position as this role will be aligned to multi-national teams where English is the common language across our Global Enterprise.
Responsibilities
- Architect enterprise-ready AI agent systems on Snowflake: retrieval, orchestration, governance, evaluation, lifecycle observability.
- Architect scalable Snowflake solutions for enterprise data workloads; champion best practices across customer engagements.
- Establish modern Snowflake architecture with Dynamic Tables, Streams, and Tasks; navigate Snowsight UI for query, dashboards, and operational visibility.
- Architect GenAI patterns on Snowflake Cortex AI (Cortex Search, Cortex Analyst, Cortex LLM functions) so AI lives next to the data.
- Develop abstraction layers across AI providers (Anthropic, Google, OpenAI) for clean integration.
- Leverage containerization, microservices, serverless, and event-driven architectures for scalable AI native systems.
- Mentor client teams on Snowflake: data management, analytics, AI/ML, and BI integration.
- Process large-scale data on Snowflake with SQL, Python, and modern data integration tooling.
- Tailor agentic applications across industries; lead workshops, PoCs, and metric definition.
- Build Snowflake-native pipelines using Cortex AI, Dynamic Tables, and the Snowflake data ecosystem.
- Operate MLOps / LLMOps pipelines with CI/CD across the ML and LLM lifecycle.
Benefits
- The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
