AI Engineer, Forward Deployed Engineer, Reinvention Centers Associate Manager

Accenture

Confirmed live 2 days ago Trusted
Hybrid

Quick summary

Work type
Hybrid
Location
Dallas, TXSt. Petersburg, FLAtlanta, GAColumbus, OHHouston, TX
Salary
$73,800–$220,400 / yr
Posted
91 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k
This role $147k
$53k most similar roles pay here $270k

This role pays less than 81% of similar roles. Most pay $154,431–$241,750 — the shaded band above. At the midpoint, this role pays about $147k versus about $198k 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 192 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 165 roles with salary data.

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At a glance

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

Role Posting Log in to save

AI Engineer - Forward Deployed Engineer serves within the Reinvention Centers Associate Manager team as a technical advisor and engineer. You will embed directly with clients to design, build, and implement modern data solutions on the Snowflake AI Data Cloud while ensuring data quality, performance, and cost efficiency. Your daily responsibilities include engineering enterprise-ready AI agents involving retrieval, orchestration, and evaluation harnesses, alongside building Snowflake data pipelines using Dynamic Tables, Streams, and Tasks. You will leverage Cortex AI features like Cortex Search and Cortex LLM functions to power GenAI capabilities. The role requires proficiency in SQL, Python, Java, the Spark ecosystem, and infrastructure as code tools like Terraform and Helm. You will solve complex problems by deploying agentic workflows across finance, healthcare, and retail domains while managing MLOps and LLMOps pipelines within a production environment.

Skills

Snowflake Python SQL Spark Java Cortex AI RAG LLMOps MLOps CI/CD Terraform Helm Snowpark Dynamic Tables Streams Tasks OpenAI Claude Vertex AI

What you'll do

  • Design and engineer enterprise-ready AI agents including retrieval, orchestration, tool invocation, and evaluation harnesses.
  • Build Snowflake data pipelines using Dynamic Tables, Streams, Tasks, and Snowsight for query authoring and visibility.
  • Integrate Generative AI capabilities into Snowflake workloads using Cortex AI features like Search, Analyst, and LLM functions.
  • Optimize data models, queries, and processing workflows on Snowflake to ensure performance and cost efficiency.
  • Process large-scale data using SQL, Python, and the Spark ecosystem within the Snowflake environment.
  • Develop and deploy agentic applications for specific industries such as finance, healthcare, and retail.
  • Manage MLOps and LLMOps pipelines including CI/CD, model training, serving, and prompt management.
  • Act as a technical advisor to clients by conducting workshops, PoCs, and code-with sessions.

What we're looking for

  • Minimum 4 years of engineering experience on the Snowflake AI Data Cloud and large-scale data projects.
  • Minimum 4 years of experience in Python, Java, or equivalent programming languages.
  • Minimum 4 years of experience shipping to production using CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
  • Minimum 1 year of experience designing and shipping agentic AI solutions in production.
  • Minimum 1 year of experience shipping agentic solutions using AI platforms like OpenAI, Claude, Vertex AI, or Snowflake Cortex AI.
  • Practical MLOps and LLMOps experience across the ML and LLM lifecycle including training, serving, and prompt management.
  • Experience building API layers to expose data and AI/ML capabilities to enterprise systems.

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