Principal Software Engineer – Intelligent Automations

PNC

Technical leader driving the design and delivery of Intelligent Automation solutions at PNC. Leading engineering teams in creating scalable, secure AI-driven platforms in Pittsburgh, PA or Dallas, TX.

Posted 6/11/2026full-timePittsburgh • Pennsylvania, Texas • 🇺🇸 United StatesSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GenAI solutionsRAG architectureagentic workflowsAI-driven automationdocument processing pipelinesOCRNLPIntelligent Document Processingconversational AICI/CD

Soft Skills

leadershipmentoringcommunicationcollaborationproblem-solvingstrategic thinkingpresentation skillsrisk managementtechnical debt mitigationculture of engineering excellence

Tools & Technologies

Kore.aienterprise automation solutionsreference architecturesreusable frameworksobservability toolsplatform engineering standardsdocument-centric workflowsAI platformsscalability toolssecurity frameworks

Certifications & Qualifications

Masters degreePhDcertifications in AIcertifications in automationcertifications in software engineeringcertifications in project managementcertifications in cloud technologiescertifications in data sciencecertifications in cybersecuritycertifications in DevOps

Industry Keywords

enterprise governanceResponsible AI standardsfull lifecycle deliveryperformance optimizationtechnical risksengineering excellencedocument-centric workflowsAI-driven solutionsscalable technical solutionsarchitecture strategies

About the role

Key responsibilities & impact

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
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
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
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
Mentor engineers across teams on architecture, design, and coding practices
Support career growth and promote a culture of engineering excellence

Requirements

What you’ll need

Hands-on experience with LLMs, RAG architecture, and agentic systems
Experience building AI-driven enterprise automation solutions
Experience with OCR, NLP, and Intelligent Document Processing
Experience automating document-centric workflows
Experience with conversational AI platforms (e.g., Kore.ai or similar)
Industry relevant experience is typically 8+ years
Higher level education such as a Masters degree, PhD, or certifications is desirable
Specific certifications are often required
A university / college degree

Benefits

Comp & perks

medical/prescription drug coverage (with a Health Savings Account feature)
dental and vision options
employee and spouse/child life insurance
short and long-term disability protection
401(k) with PNC match
pension and stock purchase plans
dependent care reimbursement account
back-up child/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
a robust wellness program with financial incentives
maternity and/or parental leave
up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
between 15 to 25 vacation days each year, depending on career level; and years of service