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The Senior AI Engineer is part of our Data, Analytics, and AI job family. This job family is responsible for transforming large complex data sets into pragmatic, actionable insights. Leveraging data to drive significant business impact and understanding the underlying data science principles is crucial in this role.

The Opportunity:

The Senior AI Engineer is responsible for partnering with Data Science and Business teams to develop, operationalize, integrate, and scale new algorithmic products. This includes engaging in proof of concepts and experiments to evaluate new models and technology, developing high quality, standard-compliant, tested code, contributing code and tools to central re-usable libraries and repositories and open-source projects, in line with P&G IT policies. The role also involves developing data models, model features, data quality tests, ETL/ELT pipelines, and distributed computer architectures. Deploying algorithmic products across the clouds, skillfully leveraging cloud-native services is a key part of this role.

Key Responsibilities:

• Engage in proof of concepts and experiments to evaluate new models and technology.
• Develop high quality, standard-compliant, tested code.
• Contribute code and tools to central re-usable libraries and repositories and open-source projects.
• Develop data models, model features, data quality tests, ETL/ELT pipelines, and distributed computer architectures.
• Deploy algorithmic products across the clouds, skillfully leveraging cloud-native services.
• 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

Job Qualifications

• A Bachelors or Master’s degree in Computer Science, Software Engineering or related field
• 5+ years of proven experience in Python & SQL, data modelling, design, development, and deployment of Data and Analytics products
• Experience in Agile and DevOps methodologies – knowledge of using appropriate tools – e.g. Jira, GitHub Actions, unit testing & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub)
• Azure cloud infrastructure knowledge (including load balancing, autoscaling, firewalls, and authentication)
• Databricks knowledge
• Logging and monitoring technologies knowledge (depending on the needs, from Logstash to Grafana, Kibana)
• CI/CD processes knowledge and development using GitHub Actions and GitHub
• Infrastructure build tools and languages knowledge – Terraform, Ansible
• Strong written and verbal communication in English
• Ability to work a hybrid schedule in Cincinnati, OH based office.

Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant 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. 

We are 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.

Procter & Gamble participates in E-Verify.

Qualified individuals will not be disadvantaged based on being unemployed. 

P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process.  If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page.

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