AI Engineer - Forward Deployed Engineer · Snowflake · Reinvention Centers

Accenture•Dallas, TX

18d•Hybrid

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 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-efficiency, and you act as a trusted technical advisor helping customers harness their data, drive insights, and power AI initiatives.

Requirements

Minimum 4 years of engineering 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.
Minimum 4 years of experience in Python, Java, or equivalent.
Comfortable with evaluation tooling, logging, monitoring, and observability.
Minimum 4 years experience in shipping to production: CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
Practical MLOps and LLMOps experience across the ML and LLM lifecycle (model training, serving, monitoring, prompt management).
Minimum 1 year experience in designing and shipping agentic AI solutions in production.
Minimum 1 year experience in shipping agentic solutions in production (agents, orchestration, context engineering, RAG, workflows) using AI platforms (OpenAI, Claude, Vertex AI, open-source) and Snowflake Cortex AI (Cortex Search, Cortex Analyst, Cortex LLM functions).

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.