Forward-Deployed AI Engineer: GenAI & Snowflake Data Cloud

Accenture; Irving (TX); Hybrid; USD 68,000 - 220,000; Full time

Benefits offered by this job

Medical coverage

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI Engineer - Forward Deployed Engineer in Irving, TX, delivering Snowflake AI Data Cloud driven data engineering, GenAI capabilities, and agentic AI solutions. The role is hybrid, embedded with enterprise client teams, and focuses on building scalable AI solutions with Cortex AI components.

The position requires 4+ years in AI/data engineering, proficiency in Python/Java, and experience deploying MLOps/LLMOps in production.

Qualifications

• Snowflake AI Data Cloud experience with Snowpark, Dynamic Tables, Streams & Tasks
• 4+ years Python/Java experience with tooling and observability
• 4+ years production exposure: CI/CD, IaC, monitoring; MLOps/LLMOps lifecycle
• 1+ year designing/shipping agentic AI solutions in production
• Experience with AI platforms (OpenAI, Claude, Vertex AI) and Cortex AI components

Responsibilities

• Design and implement enterprise-grade AI agents and orchestration.
• Build Snowflake data pipelines and use Snowsight for dashboards.
• Embed GenAI into Snowflake workloads using Cortex AI components.
• Optimize data models, queries, and workflows for performance and cost.
• Process large-scale data on Snowflake with SQL, Python, and Spark.
• Lead workshops and PoCs with clients across finance, healthcare, and retail.

Skills

Python

Java

CI/CD

MLOps

LLMOps

Data engineering

Tools

Terraform

Helm

Snowflake Cortex AI

Snowflake AI Data Cloud

Snowsight

Job description

Accenture is seeking an AI Engineer - Forward Deployed Engineer in Irving, TX, delivering Snowflake AI Data Cloud driven data engineering, GenAI capabilities, and agentic AI solutions. The role is hybrid, embedded with enterprise client teams, and focuses on building scalable AI solutions with Cortex AI components.

The position requires 4+ years in AI/data engineering, proficiency in Python/Java, and experience deploying MLOps/LLMOps in production.