Primary Office Location:
626 Washington Place. Pittsburgh, Pennsylvania. 15219.
Join our team. Make a difference - for us and for your future.
No Corporate Housing Provided. Application Deadline: October 17, 2026.
Internship Overview/Summary:
The purpose of this internship is to give college students hands-on exposure to the full AI lifecycle at FNB. This would include but not be limited to exploring banking use cases like fraud detection, credit risk, personalization, automation, and compliance monitoring to designing, training, validating, and testing machine learning and generative AI models. Interns will also gain practical experience in data engineering and MLOps, including data pipelines, cloud platforms, and model lifecycle management.
As an AI and Innovation Intern, you will apply your academic learning to real-world scenarios across the enterprise.
What you'd do
- AI Use Case Exploration: Research and evaluate potential AI applications in banking, including fraud detection, credit risk modeling, customer personalization, automation, and compliance monitoring.
- Model Development Support: Assist in designing, training, validating, and testing machine learning and generative AI models under the guidance of senior team members.
- Data Engineering & MLOps: Support data pipeline development, cloud-based workflows, and model lifecycle management to ensure scalability and reliability.
- AI Governance & Responsible AI: Participate in activities related to compliance, ethical AI, bias testing, privacy, and security to align with banking regulations and standards.
- Collaboration & Teamwork: Work closely with business, technology, cybersecurity, and compliance teams to understand how AI integrates into enterprise strategy and operations.
- Vendor & Tool Evaluation: Contribute to the assessment of third-party AI tools and platforms, ensuring alignment with FNB’s risk, security, and compliance requirements.
- Research & Innovation: Stay updated on the latest AI trends, frameworks, and best practices, sharing insights that could enhance FNB’s AI initiatives.
- Documentation & Reporting: Prepare reports, presentations, and documentation to support AI projects, findings, and recommendations for leadership review.
- Drive real-world AI solutions: Apply machine learning, data analytics, and emerging AI technologies to live projects that shape business outcomes.
- Collaborate with leaders: Partner directly with business and technical leaders on strategic initiatives, gaining insight into AI-driven decision-making.
- Starts
- 2026-09-01