Artificial Intelligence Engineer

Job Location

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 control, maintainability, reusable code, and production-ready engineering practices.

Additional Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical field.
• 2+ years of professional experience working with Python and SQL and with the design, development, and deployment of Data, Analytics, AI, or ML solutions.
• Strong problem-solving skills and ability to work in complex cloud environments.
• Strong written and verbal communication skills in English.
• Ability to work a hybrid schedule in the Panama office.

Nice to Have

• Experience with Generative AI, LLMs, or agentic AI frameworks.
• Experience with Kubeflow or other ML orchestration and pipeline technologies.
• Knowledge of additional GCP services, including BigQuery, GKE, and Composer.
• Experience with Azure technologies such as Azure ML, Databricks, AKS, or Azure Data Factory.
• Experience with CI/CD and DevOps methodologies, including GitHub Actions and Jira.
• Experience with automated testing frameworks such as PyTest, mocking, and static code analysis tools such as SonarQube.
• Experience with source control and collaborative development using GitHub.
• Understanding of cloud infrastructure concepts such as load balancing, autoscaling, authentication, and networking/firewalls.
• Experience with logging, monitoring, and proactive incident detection for production applications.
• Experience building or supporting ML pipelines and MLOps workflows.
• Experience with Media, AdTech, digital advertising, or media optimization use cases.
  

What we offer!

• We'll give you responsibilities as of Day 1 – you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities
• You'll have continuous mentorship – you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager
• We offer you to work and be part of a dynamic and supportive environment
• We promote agility and work/life balance for employees, we value every individual and support initiatives, promoting.
• We love flexibility. You can arrange your work schedule based on your personal needs.
• We will let you experience true support for work/life effectiveness and your long-term well-being.
• We will give you a competitive salary and benefits' package.

About us!

P&G serves consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®,Ambi Pur®, Ariel®, Bounty®, Charmin®, Crest®, Dawn®, Downy®, Fairy®, Febreze®, Gain®, Gillette®, Head & Shoulders®, Lenor®, Olay®, Oral-B®, Pampers®, Pantene®, SK-II®, Tide®, Vicks®, and Whisper®. The P&G community includes operations in approximately 70 countries worldwide. Please visit www.pg.com for the latest news and information about us and our brands.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Schedule

Job Number

Job Segmentation