> Markdown version of [/jobs/ext/4568144-ai-ml-engineer-6564206](https://www.wearedevelopers.com/jobs/ext/4568144-ai-ml-engineer-6564206). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI ML Engineer 6564206

- **Company:** Accenture
- **Location:** Dallas, TX, United States
- **Salary:** $83,200.0 - $97,760.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Amazon Web Services, Automation of Tests, Continuous Integration, Data Governance, Extract Transform Load (ETL), Mobile Application Software, Python (Programming Language), Machine Learning, Operational Databases, Raw Data, Power BI, OpenAI, Search Technologies, SQL Databases, Tableau (Software), Data Processing, Feature Engineering, Pytorch, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Snowflake, Prompt Engineering, Spring-boot, Llamaindex, Generative AI, Fastapi, Containerization, AngularJS, Kubernetes, FAISS, Evaluation of Large Language Models, Restful APIs, Model Inference, Artificial Intelligence Markup Language (AIML), Data Pipelines, Docker, Microservices
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/97e9584e-1d87-413d-9c56-93b26441995b

## About the Role

* A minimum of 3 years of professional experience in software, data, or AI engineering
 * A minimum of 3 years of hands-on experience with Python and SQL for data processing and pipeline development
 * A minimum of 1 year of experience building GenAI/LLM solutions (OpenAI APIs, RAG, embeddings, prompt engineering)
 * A minimum of 1 year of experience with AWS (e.g., Lambda, SageMaker) and containerization (Docker)
 * Bachelor's Degree

Preferred Qualifications:

 * Experience with ML model training and deployment (PyTorch or similar) and feature engineering
 * Experience building REST APIs and microservices (FastAPI, Spring Boot, or similar)
 * Experience with CI/CD and automated testing
 * Experience with Snowflake, Kubernetes, LangChain, or LlamaIndex
 * Experience in financial services or another regulated environment
 * Experience with BI tools (Power BI, Tableau) and data governance
 * Experience with on-device or quantized model inference
 * Full-stack exposure (React, Angular, Java/.NET)

## Description

* Design, build, and deploy GenAI applications, including RAG pipelines with embeddings, vector search (e.g., FAISS), and grounded, citation-backed responses
 * Develop and maintain Python and SQL data pipelines (ETL/ELT) on AWS and Snowflake to support ML models, reporting, and personalization use cases
 * Train, evaluate, and deploy ML models, including feature engineering from raw data and ongoing LLM evaluation for accuracy and reliability
 * Build and expose REST APIs and microservices (e.g., FastAPI) that integrate AI capabilities into web and mobile applications
 * Create KPI dashboards and automated reporting, and investigate production data issues to improve data quality and accuracy
 * Apply CI/CD and automated testing to deliver reliable releases in a regulated environment
 * Document pipeline architecture and experiments for reproducibility and knowledge transfer

This is a hybrid role with required 3 days a week on-site in Addison, TX. Role requires contractor time away (CTA), 5 days per quarter, as mandated by the client.