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AI Engineer

Procter & Gamble

AI Engineer

full-timePosted: Aug 10, 2026Updated: Aug 28, 2026Cincinnati

Job Description

Job LocationCincinnatiJob DescriptionInformation Technology at Procter & Gamble is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear -- we deliver IT to help P&G win with the over 5 billion consumers we serve worldwide. Our IT professionals are diverse business leaders who apply IT expertise to deliver innovative, tech-focused business models and capabilities for our 65 iconic, trusted brands.From Day 1, you’ll be trusted to dive right in, take the lead, use your initiative, and build billion-dollar brands that help make everyday activities easier and make the world a better place! Our company offers purposeful work that will take your career places you never envisioned, in creative workspaces where innovation thrives and where your technical expertise is recognized and rewarded.The OpportunityAI 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. ResponsibilitiesWorks 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 applicationsPrepares data models and quality checks, optimizes analytical solutions at scaleDesigns and develops applications that source data from various systems, programming in Python and SQLSupports 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 librariesOperationalizes 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 developersTroubleshoots infrastructure related issues to enable most critical Artificial Intelligence products at P&GProactive incident detection systems based on multiple data sets, real-time data stream analysesCrafts 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 Job QualificationsRequiredA Bachelors or Master’s degree in Computer Science, Software Engineering or related field2+ years of proven experience in Python & SQL, data modelling, design, development, and deployment of Data and Analytics productsAbility to work a hybrid schedule in Cincinnati, OH based office.PreferredExperience in Agile, CI/CD and DEVOPS methodologies – knowledge of using appropriate tools, e.g. Jira, GitHub ActionsTesting (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 processesLogging and monitoring technologiesStrong written and verbal communication in EnglishProblem Solving skills in complex cloud environmentCompensation for roles at P&G varies depending on a wide array of equal opportunity factors including but not limited to the specific office location, role, degree/credentials, relevant skills, and level of experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. Our company is committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE.P&G participates in e-verify as required by law.Qualified individuals will not be disadvantaged based on being unemployed.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Job ScheduleFull timeJob NumberR000153947Job SegmentationEntry LevelStarting Pay / Salary Range$85,000.00 - $122,200.00 / year

Locations

  • Cincinnati

Skills Required

  • Python & SQLintermediate
  • Agileintermediate
  • using appropriate toolsintermediate
  • AI/ML productsintermediate

Required Qualifications

  • A Bachelors or Master’s degree in Computer Science, Software Engineering or related field (degree in master)
  • 2+ years of proven experience in Python & SQL, data modelling, design, development, and deployment of Data and Analytics products (experience, 2 years)
  • Ability to work a hybrid schedule in Cincinnati, OH based office. (experience)
  • A Bachelors or Master’s degree in Computer Science, Software Engineering or related field (degree in master)
  • 2+ years of proven experience in Python & SQL, data modelling, design, development, and deployment of Data and Analytics products (experience, 2 years)
  • Ability to work a hybrid schedule in Cincinnati, OH based office. (experience)
  • Qualified individuals will not be disadvantaged based on being unemployed. (experience)

Preferred Qualifications

  • Experience in Agile, CI/CD and DEVOPS methodologies – knowledge of using appropriate tools, e.g. Jira, GitHub Actions (experience)
  • Testing (e.g. PyTest) & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub) (experience)
  • GCP/Azure cloud infrastructure knowledge (including load balancing, autoscaling, firewalls, authentication) (experience)
  • Experience with AI/ML products and model pipelines and deployment processes (experience)
  • Logging and monitoring technologies (experience)
  • Strong written and verbal communication in English (experience)
  • Problem Solving skills in complex cloud environment (experience)
  • Experience in Agile, CI/CD and DEVOPS methodologies – knowledge of using appropriate tools, e.g. Jira, GitHub Actions (experience)
  • Testing (e.g. PyTest) & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub) (experience)
  • GCP/Azure cloud infrastructure knowledge (including load balancing, autoscaling, firewalls, authentication) (experience)
  • Experience with AI/ML products and model pipelines and deployment processes (experience)
  • Logging and monitoring technologies (experience)
  • Strong written and verbal communication in English (experience)
  • Problem Solving skills in complex cloud environment (experience)
  • At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. (experience)
  • Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE. (experience)

Responsibilities

  • 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
  • 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

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