Sr. AI Engineer - Forward Deployed Engineer · Snowflake · Reinvention Centers

Job Description

We are:

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.

Stronger together!

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. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people:

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 Engineer leading the modernization of customer data and application ecosystems on the Snowflake AI Data Cloud, with deep focus on enterprise data engineering workloads. You partner with engineering 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.

The Work:

You will embed directly with clients as both technologist and trusted advisor. You will partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.

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 architectures 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.

This is a hybrid role in Dallas, TX and requires 4 days per week in the office. May consider qualified applicants in Columbus, OH;
Tampa, FL;
Atlanta, GA;
Houston, TX.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Qualification

Here's What You Need:

* Minimum of 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.

* Minimum of 10 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.

* Minimum of 5 years of experience on the Snowflake AI Data Cloud and large-scale data projects (Snowpark, Dynamic Tables, Streams & Tasks, Snowsight). You've also…