Software Engineer Principal Sr - Automations
Listed on 2026-09-09
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Software Development
AI Engineer (Applied/Software), Software Architect
Job Description
Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of position].
Job Profile
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success.
As a Software Engineer Principal Sr within PNC's Technology - Automation Platform organization, you will be based in Pittsburgh, PA or Dallas, TX.
As a Software Engineering Principal Senior, you will serve as a hands-on technical leader responsible for driving the design, architecture, and delivery of enterprise-scale Intelligent Automation solutions. This role focuses on GenAI, Document AI, and Virtual Assistant platforms, with a strong emphasis on RAG-based architectures and agentic systems. You will operate with broad autonomy to solve complex problems, influence enterprise architecture, and mentor engineering teams, while ensuring solutions are scalable, secure, compliant, and aligned with enterprise standards.
Key Responsibilities will include, but are not limited to:
Technical Leadership & Architecture:
- Architect and evolve GenAI solutions with a focus on RAG, agentic workflows, and AI-driven automation
- Lead design decisions to ensure scalability, resiliency, security, and performance
- Define and implement reference architectures and reusable frameworks
End-to-End Solution Ownership:
- Drive full lifecycle delivery, including design, development, deployment, and production support
- Build and optimize AI-driven automation workflows and document processing pipelines
- Ensure solutions meet enterprise governance and Responsible AI standards
GenAI Engineering Excellence:
- Establish best practices across code quality, testing, CI/CD, observability, and security
- Drive platform engineering standards for LLM, RAG, and agent-based systems at scale
- Identify and mitigate technical debt, risks, and performance bottlenecks
Stakeholder Engagement & Communication:
- Partner with product, architecture, business, risk, and security teams
Translate complex business needs into scalable technical solutions
- Present architecture strategies and trade-offs to senior leadership and executives
Mentorship & Team Enablement:
-Mentor engineers across teams on architecture, design, and coding practices
- Support career growth and promote a culture of engineering excellence
Required
Skills & Experience:
Core Technologies:
GenAI / AI Engineering
- Hands-on experience with LLMs, RAG architecture, and agentic systems
- Experience building AI-driven enterprise automation solutions
Document AI / Automation:
- Experience with OCR, NLP, and Intelligent Document Processing
- Experience automating document-centric workflows
Virtual Assistants:
- Experience with conversational AI platforms (e.g., Kore.ai or similar) PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Job Description
- Leads the design, development, and maintenance of software solutions across multiple product lines.
- Directs and consults on all phases of software engineering life cycle and troubleshoots technical problems as needed using agile methods.
- Leads complex problem solving and resolves workflow problems through automation optimization.
- Monitors security technology trends and ensures the…
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