Snowflake AI Data Engineer | GenAI & MLOps

1000 Accenture LLP Company; Irving (TX); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) plan

Job summary

Accenture is seeking a Forward Deployed Engineer to design and implement data engineering workloads on the Snowflake AI Data Cloud. You will partner with clients to define use cases, prototype, and deploy agentic workflows that are secure and scalable within complex enterprise environments.

You will embed with clients as a technologist and trusted advisor, building end-to-end data pipelines and GenAI capabilities while optimizing cost and performance.

Qualifications

• Minimum 4 years engineering experience on Snowflake AI Data Cloud and large-scale data projects.
• Experience building API layers exposing data and AI/ML capabilities to enterprise systems.
• Proficiency in Python, Java, or equivalent (≥4 years).
• Experience shipping to production: CI/CD, IaC, monitoring and debugging.
• MLOps/LLMOps lifecycle experience including model training, serving and monitoring.

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 dashboards and visibility.
• Integrate GenAI capabilities into Snowflake workloads with Cortex AI tools.
• Optimize data models, queries, and processing for performance and cost.
• Develop agentic applications across finance, healthcare, and retail; conduct PoCs and workshops with clients.
• Define metrics for agent accuracy, latency, safety, and cost.
• Operate Snowflake-native pipelines using Cortex AI and the Snowflake ecosystem.
• Manage MLOps/LLMOps pipelines with CI/CD across ML/LLM lifecycle.

Skills

Snowflake AI Data Cloud

Python

Java

Tools

Snowsight

Terraform

CI/CD

Job description

Accenture is seeking a Forward Deployed Engineer to design and implement data engineering workloads on the Snowflake AI Data Cloud. You will partner with clients to define use cases, prototype, and deploy agentic workflows that are secure and scalable within complex enterprise environments.

You will embed with clients as a technologist and trusted advisor, building end-to-end data pipelines and GenAI capabilities while optimizing cost and performance.