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 worlds most complex client challenges.

You Are:

A Forward Deployed Engineer with strong experience building data engineering workloads on the Snowflake AI Data Cloud. You partner closely with clients to design, build, and implement modern data solutions on Snowflake, ensuring data quality, performance, and cost-e iciency, and you act as a trusted technical advisor helping customers harness their data, drive insights, and power AI initiatives.

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:

• Design and engineer enterprise-ready AI agents: retrieval, orchestration, tool invocation, evaluation harnesses.

• Build Snowflake data pipelines with Dynamic Tables, Streams, and Tasks; use Snowsight UI for query authoring, dashboards, and operational visibility.

• Build GenAI capabilities into Snowflake workloads with Cortex AI (Cortex Search, Cortex Analyst, Cortex LLM functions).

• Optimize data models, queries, and processing workflows on Snowflake for performance and cost.

• Process large-scale data on Snowflake with SQL, Python, and the Spark ecosystem.

• Tailor and deploy agentic applications across finance, healthcare, and retail; conduct workshops, PoCs, and code-with sessions with clients.

• Define and use metrics for agent accuracy, latency, safety, and cost.

• 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 3 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.