Senior Software Architect – GenAI Solutions Architect

PNC

Software Architect Sr responsible for enterprise-scale AI and automation architecture at PNC. Collaborating with teams to design scalable and compliant solutions in banking and lending.

Posted 6/12/2026full-timeFarmers Branch • Pennsylvania, Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

CloudDjangoKubernetesMicroservicesOpenShiftPython

About the role

Key responsibilities & impact

Define and own end-to-end architecture for GenAI and Document AI solutions
Design LLM-based architectures, including RAG pipelines and AI orchestration frameworks
Establish architecture standards, design patterns, and governance models
Ensure alignment with enterprise architecture, security, and risk frameworks
Drive end-to-end solution delivery from ideation through production deployment
Provide architectural oversight to ensure quality, scalability, and timely delivery
Support estimation, sizing (T-shirt sizing), and roadmap planning
Identify and mitigate technical risks, dependencies, and delivery challenges
Ensure adherence to DevSecOps, CI/CD, and operational readiness practices
Architect cloud-native solutions using Kubernetes/OpenShift and microservices
Design intelligent document processing (IDP) solutions (classification, extraction, validation, summarization)
Evaluate and integrate GenAI, automation, and emerging technology platforms
Provide guidance and mentorship to engineering teams and technical leads
Ensure solutions meet regulatory, security, and data privacy requirements
Define and enforce AI governance, model lifecycle, and responsible AI practices

Requirements

What you’ll need

10+ years of experience in software engineering and/or architecture
Proven experience designing and delivering enterprise AI/GenAI solutions
Experience working in Banking, Lending, or regulated financial environments
Strong expertise in LLMs, RAG architectures, and enterprise AI integration
Experience with prompt engineering, orchestration frameworks, and AI lifecycle management
Expert-level Python (FastAPI, Django or similar frameworks)
Experience with Kubernetes/OpenShift (OCP) and cloud-native architecture
Strong understanding of APIs, microservices, and event-driven architecture
Experience with CI/CD pipelines and DevSecOps practices
Experience designing document-centric AI solutions (OCR, NLP, IDP)
Strong knowledge of relational databases and data modeling
Experience with enterprise security controls, secrets management, and compliance frameworks
Understanding of AI risk, model governance, and data privacy standards

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

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Hard Skills & Tools

LLM-based architecturesRAG pipelinesAI orchestration frameworksDevSecOpsCI/CDcloud-native architectureKubernetesOpenShiftPythondocument-centric AI solutions

Soft Skills

architectural oversightmentorshiprisk identificationdelivery challenge mitigationroadmap planningquality assurancescalability focuscommunicationleadershipgovernance enforcement