^AI ML Engineer - 6352113

Accenture

Closes in 5 days Hybrid

Quick summary

Work type
Hybrid
Location
TX
Posted
1 day ago
Closes
Jun 25, 2026 (soon)

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Salary context

How this pay compares to similar roles

Similar $202k
$146k most similar roles pay here $254k

This listing doesn't post a salary. Most similar roles pay $166,875–$236,225.

Based on 240 similar postings.

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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 134 open roles on FindRole.

Listed pay typically runs $94,400–$227,750 across 94 roles with salary data.

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At a glance

TL;DR · ^AI ML Engineer - 6352113

Join our 14-member Agile team as a Senior ML Engineer/Data Scientist for Bank of America, where you will design and deploy Large Language Model (LLM) and Generative AI solutions to enhance intelligent automation and data-driven decision-making in banking operations. You will build LLM-powered applications like chatbots and document extraction tools while fine-tuning models and engineering prompts. Proficiency in technologies such as Azure ML Studio, Databricks, and Snowflake is preferred, along with experience in the BFSI domain and responsible AI practices. This role requires 3 days of onsite work per week in Plano, TX, and a quarterly mandate for extended client visits, making it ideal for those comfortable in fast-paced Agile environments and collaborating across teams.

What you'll do

  • Design and develop Large Language Model (LLM) solutions for intelligent automation in banking.
  • Deploy Generative AI applications like chatbots, summarization tools, and document extraction systems.
  • Fine-tune LLMs using prompt engineering and retrieval-augmented generation techniques.
  • Build and maintain machine learning models that support data-driven decision-making processes.
  • Collaborate with Agile teams to deliver projects within the Bank of America engagement.

What we're looking for

  • 4+ years of hands-on experience in Data Science and Machine Learning Engineering.
  • 2+ years of direct experience with Large Language Models (LLMs) or Generative AI in production environments.
  • Experience building LLM-powered applications like chatbots, summarization tools, classifiers, and document extractors.
  • Proficiency in prompt engineering, RAG techniques, and fine-tuning methods for LLMs.
  • Bachelor's Degree required.
  • Familiarity with Agile/Scrum methodologies and experience working in fast-paced environments.

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