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# Senior AI & Cloud Engineer

- **Company:** Publicis Groupe
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $125,000.0 - $133,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Cloud Storage, Information Engineering, Github, Data Intelligence, Python (Programming Language), Azure Data Lake, Search Technologies, Software Engineering, Data Processing, Azure Data Factory, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Git, Data Lakes, Machine Learning Operations, Api Design, Software Version Control, Databricks, Microservices
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8e3b212b4def3f9f

## About the Role

* 3+ years of hands-on software engineering experience, with at least 1 year focused on AI/ML systems in production
 * Strong Python proficiency - data manipulation, API development, async patterns, testing
 * Solid experience with Azure cloud services: Azure Data Lake, Azure Container Apps, Azure Blob Storage, Azure OpenAI Service, and related tooling
 * Experience with Databricks for large-scale data processing and ML workflows (Delta Lake, Spark, MLflow)
 * Practical experience with RAG architectures, vector databases (e.g. Azure AI Search, Chroma, Weaviate, pgvector), and embedding models
 * Working knowledge of prompt engineering - few-shot prompting, chain-of-thought, system prompt design, output parsing
 * Familiarity with Model Context Protocol (MCP) or equivalent tool-use / function-calling patterns in LLM applications
 * Experience with Git-based version control and CI/CD pipelines (GitHub Actions, Azure DevOps)

## Description

We are looking for a Senior AI & Cloud Engineer to design, build, and operate intelligent data and AI systems on Azure. You will bridge the gap between cloud infrastructure, data engineering, and applied AI - developing production-grade pipelines and AI-assisted applications that create measurable business value.

You will be a go-to voice on responsible AI practices, model selection, and evaluation within the team.

 * Design and deploy scalable data and AI pipelines on Azure using Databricks, Azure Data Factory, and related services
 * Build Retrieval-Augmented Generation (RAG) systems and AI-assisted workflows that integrate with internal data sources and APIs
 * Develop and maintain Python-based applications, microservices, and Azure Container Apps
 * Apply prompt engineering techniques and work with LLM APIs (OpenAI, Anthropic, Azure OpenAI) to deliver reliable, production-ready AI features
 * Implement and maintain MCP (Model Context Protocol) integrations to connect AI models with enterprise tools and data sources
 * Participate in fine-tuning and evaluation of models; contribute to model training workflows where applicable
 * Establish best practices for AI observability, evaluation, safety guardrails, and responsible deployment
 * Collaborate closely with data scientists, product managers, and business stakeholders to translate requirements into engineering solutions
 * Mentor junior engineers and contribute to architectural decisions


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