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

Accenture

Hybrid

Quick summary

Work type
Hybrid
Location
Dallas, TXColumbus, OHTampa, FLAtlanta, GAHouston, TX
Salary
$73,800–$261,500 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $168k
$51k most similar roles pay here $284k

This role pays less than 74% of similar roles. Most pay $167,249–$246,150 — the shaded band above. At the midpoint, this role pays about $168k versus about $207k 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 129 open roles on FindRole.

Listed pay typically runs $94,400–$220,400 across 88 roles with salary data.

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At a glance

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

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As an AI Native Engineer at Accenture, you will join a dynamic team dedicated to building and deploying advanced GenAI solutions on the Databricks Intelligence Platform. Your role involves designing enterprise-ready AI agents that include retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. You will build RAG and multi-agent systems using Mosaic AI, Vector Search, Model Serving, and MLflow while developing data foundations on the Lakehouse (Delta Lake, DLT, Unity Catalog) to support production AI applications. Tailoring agentic solutions for industries like finance, healthcare, and retail, you will also conduct workshops with client stakeholders and define metrics to measure agent performance. This role requires expertise in Python or Java, experience with large-scale big data projects on Databricks, and a strong background in MLOps/LLMOps pipelines across the ML lifecycle.

Skills

Databricks Python Mosaic AI HuggingFace LangChain DSPy AWS Azure GCP Apache Spark™ Unity Catalog Delta Lake MLflow CI/CD Terraform Prometheus Grafana Kubernetes PostgreSQL

What you'll do

  • Design and engineer enterprise-ready AI agents with retrieval, orchestration, and policy-based routing.
  • Build RAG and multi-agent systems on Databricks using Mosaic AI and Vector Search.
  • Develop data foundations on Lakehouse technologies to support production AI applications.
  • Tailor and deploy agentic applications for industries such as finance, healthcare, and retail.
  • Define metrics to measure agent accuracy, latency, safety, and cost-effectiveness.

What we're looking for

  • 4+ years of engineering experience on Databricks and large-scale big data projects.
  • 5+ years of professional experience in Python or Java.
  • 1+ year experience designing and shipping agentic AI solutions in production.
  • 2+ years experience in CI/CD, infrastructure as code, monitoring, and debugging.
  • Deep expertise in building GenAI solutions on Databricks Intelligence Platform.

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