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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Procter & Gamble - **Location:** Cincinnati, OH, United States - **Experience:** Starter - **Salary:** $85,000.0 - $122,200.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, JIRA, User Authentication, Microsoft Azure, BigQuery, Cloud Computing, Static Program Analysis, Continuous Integration, Software Design Patterns, DevOps, Github, Monitoring of Systems, Python (Programming Language), Machine Learning, Mockito, Standard Sql, Azure Machine Learning, Software Engineering, SonarQube, Data Logging, Google Cloud, Load Balancing, Autoscaling, Multi-Cloud, Firewalls (Computer Science), Pytest, AI Platforms, Kubernetes, Information Technology, Data Analytics, Real Time Data, Azure AKS, Machine Learning Operations, Software Version Control, Software Library, Databricks - **Published:** August 11, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27922313/Ai-Engineer-Ohio-Cincinnati-7332 ## About the Role * A Bachelors or Master's degree in Computer Science, Software Engineering or related field * 2+ years of proven experience in Python & SQL, data modelling, design, development, and deployment of Data and Analytics products * Ability to work a hybrid schedule in Cincinnati, OH based office. Preferred * Experience in Agile, CI/CD and DEVOPS methodologies - knowledge of using appropriate tools, e.g. Jira, GitHub Actions * Testing (e.g. PyTest) & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub) * GCP/Azure cloud infrastructure knowledge (including load balancing, autoscaling, firewalls, authentication) * Experience with AI/ML products and model pipelines and deployment processes * Logging and monitoring technologies * Strong written and verbal communication in English * Problem Solving skills in complex cloud environment ## Description AI Engineering at Procter & Gamble is responsible for operationalizing and supporting AI use cases using products that embed Machine Learning pipelines deployed to e.g. Google Cloud Platform, that utilize Big Query, Kubeflow and Python language, and is looking for AI Platform Engineer with a passion to creatively solve scalability, deployments and development problems in our team., The AI Engineering Team at Procter & Gamble is responsible for products that embed Machine Learning pipelines deployed to Google Cloud Platform that utilize Big Query, Kubeflow and Python language. We are looking for an AI Engineer with a passion for creatively solving scalability, deployment, and development issues in our company., * Works on advanced analytics use cases together with Data Scientists, Analysts, peer AI Engineers; engages in proof of concepts and experiments together to deliver new analytical algorithms and applications * Prepares data models and quality checks, optimizes analytical solutions at scale * Designs and develops applications that source data from various systems, programming in Python and SQL * Supports solutions in multi-cloud environments and services - in Azure (e.g. Databricks, Azure ML, AKS, ADF) and / or in GCP (e.g. Composer, BigQuery, GKE, Kubeflow) * Operates according to DevOps practices, Agile (Jira), uses CI/CD (GitHub Actions), increases reusability of code and design patterns from internal code libraries * Operationalizes Machine Learning models as integral element of IT solutions & business process. * Implements best Platform Engineering practices to make cloud infrastructure "invisible" for data scientists and model developers * Troubleshoots infrastructure related issues to enable most critical Artificial Intelligence products at P&G * Proactive incident detection systems based on multiple data sets, real-time data stream analyses * Crafts and develops proof of concept or prototypes for new features or solutions, suggests and implements architecture improvement, and has responsibility for strengthening DevOps best practices within AI Engineering by coaching/teaching others ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Automagic Configuration in Python](https://www.wearedevelopers.com/videos/363-automagic-configuration-in-python) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)