PNC Bank
All Teams
PNC's Approach to AI Exploration
While PNC Bank prides itself for being “brilliantly boring” when it comes to managing the business, it is still a place of creativity and experimentation. Our sandbox, PNC Labs, is a lively, interesting place to play with artificial intelligence (AI), and we’re always looking for new, inquisitive talent to join. And it’s not just a matter of experimenting in a conceptual way. PNC software engineers and data scientists get to see those ideas come to fruition.
Close
Employee Reviews
Senthil Kumar Jeyachandran, a PNC senior software architect, has worked in IT for more than 20 years, starting his career at IBM. In his current role, he leads the solution architecture for Document AI and Conversational AI and uses PNC lab space to explore new ideas.
Having the ability to experiment in an environment and test in a safe space enables him and his team to refine their approach and model. With the freedom to play with ideas around products and services before starting to build, the result is a more high-performing, scalable solution for the business.
Close
Senior Data Scientist Robert Smith is a former business analyst who likes the diversity of projects that comes in working on the client side at PNC. Smith works with AI in PNC’s Intelligent Automation team. Its mission is simple: apply ingenuity around how we do business. His team acts as internal consultants. The lines of business will come with an idea, and the team will offer up data scientists like Smith to analyze possible solutions. They get to work in a sandbox environment and conduct analytics that help move the needle forward.
Recently posted jobs
Machine Learning • Payments • Security • Software • Financial Services
Design, develop, deploy, and support enterprise AI agents and Generative AI applications using LLMs, LangGraph, LangChain, REST APIs, MCP, and enterprise data platforms. Lead agentic AI architecture, production monitoring, observability, troubleshooting, and continuous improvement. Partner with data scientists, architects, security, governance, and business stakeholders to deliver scalable solutions. Mentor engineers, lead code reviews, establish technical standards, and evaluate emerging AI technologies within a regulated financial-services environment.
Machine Learning • Payments • Security • Software • Financial Services
Leads technical design, development, application support, and production operations for critical payment-processing systems. Troubleshoots complex incidents, supports 24/7 operations, reviews code and testing, documents solutions, guides colleagues, manages privileged-access compliance, remediates risks, and drives reliability improvements across application, infrastructure, cybersecurity, and operational teams.
Machine Learning • Payments • Security • Software • Financial Services
Leads complex, multi-workstream product initiatives as a principal Product Owner. Owns product vision, strategy, backlog integrity, prioritization, and Scrum team alignment. Coordinates Product, Engineering, Design, Delivery, and other stakeholders; improves execution discipline, transparency, and outcome tracking. Stabilizes programs with fragmented ownership or elevated delivery risk while ensuring customer and business requirements are addressed. Requires substantial Product Owner or Senior Product Manager experience, preferably in payments or financial services.
