# Artificial Intelligence Engineer at Procter & Gamble

Procter & Gamble is hiring an Artificial Intelligence Engineer. Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/8c90988c-10ab-4aba-a118-3caf10ffe3f2).

AI Level 4, AI centrality 87 out of 100. PANAMA BUSINESS CENTER.

## Details

- Company: [Procter & Gamble](https://jobsbylevel.com/companies/procter-gamble)
- AI level: AI Level 4 (score 87 out of 100)
- Location: PANAMA BUSINESS CENTER
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/8c90988c-10ab-4aba-a118-3caf10ffe3f2

## Description

Job Location PANAMA BUSINESS CENTER Job Description Important Note for Candidates: Accommodations: At P&G, we are committed to ensuring an inclusive recruitment, assessment, and selection process. If you have a disability and require any adjustments or accommodations for our assessments or any stage of the process, you will have the opportunity to briefly describe your needs when applying for the vacancy. Please note, it is important that you do not complete any assessments until we have contacted you to assist with any accommodation required. Before submitting your application, we strongly encourage you to review the following material: Hiring Process and Assessment Information . Familiarizing yourself with this content will help you be better prepared for the online assessments and enhance your chances of success. Job Summary Information Technology at Procter & Gamble is where business, innovation, and technology come together to create competitive advantage. As an Artificial Intelligence Engineer , you will develop, productize, and deploy scalable AI/ML solutions, with a primary focus on applications within the Media space . You will work mainly in Google Cloud Platform (GCP) , using Python and modern software engineering practices to transform AI/ML concepts and models into robust, production-ready applications. A key area of the role will be the development of agentic AI solutions and scalable AI capabilities that support business opportunities such as media cost optimization, increased consumer reach, and improved digital advertising effectiveness. You will collaborate closely with Data Scientists, Analysts, AI Engineers, and other cross-functional partners, combining AI/ML expertise with strong software engineering and cloud capabilities. Key Responsibilities Design, develop, productize, and deploy AI/ML applications and solutions into production environments. Develop agentic AI solutions and integrate AI capabilities into scalable business applications. Build applications and data solutions using Python and SQL , sourcing and processing data from multiple systems. Partner with Data Scientists, Analysts, AI Engineers, and business teams to develop proofs of concept, experiments, and production-ready AI solutions. Operationalize Machine Learning models as integral components of IT solutions and business processes. Design data models, implement data quality checks, and optimize analytical solutions for scale and performance. Develop and support solutions primarily in Google Cloud Platform , leveraging technologies such as BigQuery, GKE, Composer, and Kubeflow. Apply strong software engineering practices , including testing, code quality, maintainability, reusable design patterns, and source control. Work according to DevOps and CI/CD practices , leveraging tools such as GitHub Actions and Jira. Monitor and troubleshoot AI/ML applications and cloud infrastructure to ensure reliability and scalability. Develop proof of concepts and prototypes for new AI capabilities and recommend architecture and engineering improvements. Collaborate with cross-functional Media and technology teams to improve media cost optimization, reach, and digital advertising effectiveness. Job Qualifications Top Qualifications / Must Have Python Strong programming skills and hands-on experience developing production-quality applications using Python. Agentic AI Development Experience developing or working with AI agents / agent-based AI solutions , including the integration of AI capabilities into applications. Google Cloud Platform (GCP) Hands-on experience developing and/or deploying solutions in GCP . Experience with technologies such as BigQuery, GKE, Composer, or Kubeflow is highly relevant. AI/ML Application Deployment Experience taking Machine Learning or AI solutions beyond experimentation and deploying them into production . Software Engineering Best Practices Strong understanding of scalable application development, testing, version

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/artificial-intelligence-engineer-at-procter-gamble-45f84b

Source: https://jobsbylevel.com/jobs/artificial-intelligence-engineer-at-procter-gamble-45f84b

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