AI Engineer - Forward Deployed Engineer · Snowflake · Reinvention Centers Associate Manager

Accenture

Hybrid

Quick summary

Work type
Hybrid
Location
Dallas, TX · Columbus, OH · Tampa, FL · Atlanta, GA · Houston, TX
Salary
$73,800–$220,400 / yr
Posted
16 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $147k
$52k most similar roles pay here $280k

This role pays less than 88% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $147k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 89 roles with salary data.

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At a glance

TL;DR · AI Engineer - Forward Deployed Engineer · Snowflake · Reinvention Centers Associate Manager

As a Forward Deployed Engineer at Accenture, you will join the Data Engineering team in Dallas, TX, working on advanced data solutions for enterprise clients. Your role involves designing and building AI agents with Snowflake’s Dynamic Tables, Streams, and Tasks, while also integrating GenAI capabilities using Cortex AI. You’ll optimize data models and queries for performance and cost efficiency, leveraging SQL, Python, and the Spark ecosystem to process large-scale datasets. Additionally, you will tailor agentic applications across various industries like finance, healthcare, and retail, conducting workshops and PoCs with clients. This position requires 4+ years of experience in Snowflake AI Data Cloud technologies such as Snowpark and Dynamic Tables, along with expertise in Python or Java, CI/CD pipelines, and MLOps practices.

What you'll do

  • Design and engineer enterprise-ready AI agents for retrieval, orchestration, and tool invocation.
  • Build Snowflake data pipelines using Dynamic Tables, Streams, and Tasks for efficient data processing.
  • Integrate GenAI capabilities into Snowflake workloads with Cortex AI functions for advanced analytics.
  • Optimize data models and queries on Snowflake to ensure high performance and cost efficiency.
  • Tailor and deploy agentic applications in finance, healthcare, and retail sectors through workshops and PoCs.

What we're looking for

  • 4+ years of engineering experience on Snowflake AI Data Cloud and large-scale data projects.
  • Proficient in Python or Java with practical MLOps/LLMOps experience across the ML lifecycle.
  • Experience in building API layers exposing data and AI/ML capabilities to enterprise systems.
  • Minimum 1 year designing and shipping agentic AI solutions in production using Snowflake Cortex AI.
  • Strong background in CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.

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