^AI ML Engineer - 6352112

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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How this pay compares to similar roles

Similar $199k
$146k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $162,000–$235,750.

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 - 6352112

Join a 14-member Agile team as a Senior ML Engineer/Data Scientist for Bank of America, focusing on developing and deploying Large Language Model (LLM) and Generative AI solutions to enhance banking operations. You will design intelligent automation systems and data-driven decision-making tools using technologies like OpenAI, Anthropic Claude, LLaMA, Mistral, Azure ML Studio, Databricks, and Snowflake. Responsibilities include building applications such as chatbots, summarization engines, classifiers, and document extractors, while also engaging in prompt engineering, RAG, and fine-tuning techniques. Ideal candidates have experience in the BFSI domain and are familiar with responsible AI practices and model explainability frameworks like SHAP and LIME. The role requires strong communication skills and a comfort level working in fast-paced environments with onshore/offshore teams and client stakeholders.

What you'll do

  • Design and develop Large Language Model (LLM) solutions for intelligent automation.
  • Deploy Generative AI applications to enhance data-driven decision-making in banking operations.
  • Build LLM-powered applications like chatbots, summarization tools, and document extraction systems.
  • Fine-tune models using prompt engineering and retrieval-augmented generation techniques.
  • Evaluate LLM performance using frameworks such as LLM-as-a-Judge.

What we're looking for

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

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