Software Architect Sr (GenAI Solutions Architect)
PNC · Farmers Branch, TX
- On site
- Full-time
- $150,000 / year
- Farmers Branch, TX
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Software Architect Sr (GenAI Solutions Architect)
PNC · Farmers Branch, TX
Jordan Ellis
Hiring Manager · h•••••@PNC.contacthr.com
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Not recommended alone — most applicants never hear back.
Job highlights
- Define enterprise-scale GenAI and Document AI architecture.
- Design LLM-based solutions with RAG pipelines.
- Drive end-to-end solution delivery and deployment.
- Architect cloud-native solutions with Kubernetes.
- Ensure AI governance and responsible AI practices.
About the role
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 Architect Sr within PNC's Enterprise Technology (Automation & Platform) organization, you will be based in Dallas, TX or Pittsburgh, PA.
Role Overview
The GenAI Solutions Architect is responsible for defining and delivering enterprise-scale AI and automation architecture, with a focus on Document AI and Generative AI (GenAI) capabilities supporting Banking and Lending platforms. This role partners with business, product, and engineering teams to design scalable, secure, and compliant solutions, while ensuring alignment with enterprise architecture standards and successful end-to-end delivery.
Architecture & Strategy
- 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.
Delivery & Execution
- 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.
Platform & Engineering Enablement
- 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.
Governance & Compliance
- Ensure solutions meet regulatory, security, and data privacy requirements.
- Define and enforce AI governance, model lifecycle, and responsible AI practices.
Required Qualifications
- 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.
GenAI & AI Architecture
- Strong expertise in LLMs, RAG architectures, and enterprise AI integration.
- Experience with prompt engineering, orchestration frameworks, and AI lifecycle management.
Technology Stack
- 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.
Document AI & Data
- Experience designing document-centric AI solutions (OCR, NLP, IDP).
- Strong knowledge of relational databases and data modeling.
Security & Compliance
- Experience with enterprise security controls, secrets management, and compliance frameworks.
- Understanding of AI risk, model governance, and data privacy standards.
Preferred Qualifications
- Experience with vector databases, embeddings, and semantic search.
- Exposure to Azure OpenAI or cloud-based AI platforms.
- Knowledge of Java microservices (Spring Boot) and integration patterns.
- Familiarity with NoSQL databases and search platforms (Elastic/OpenSearch).
Leadership & Competencies
- Ability to influence architecture decisions and drive execution outcomes.
- Strong communication skills to translate technical solutions into business value.
- Experience working with distributed/onshore-offshore teams.
- Demonstrated ownership, accountability, and delivery focus.
- Ability to balance strategic architecture with hands-on execution.
Key skills/competency
- Generative AI
- Document AI
- Solution Architecture
- LLMs
- RAG Architectures
- Python
- Kubernetes
- Microservices
- DevSecOps
- AI Governance
Skills & topics
- Software Architect
- GenAI
- Generative AI
- Document AI
- LLM
- RAG
- Python
- Kubernetes
- Cloud-Native
- DevSecOps
- Banking Technology
- Financial Services
- Enterprise Architecture
- Solution Delivery
How to get hired
- Research PNC's culture: Study their mission, values, and employee testimonials on platforms like Glassdoor and LinkedIn to understand their commitment to customer focus and risk management.
- Tailor your resume: Highlight your 10+ years of software architecture experience, focusing on enterprise AI/GenAI solutions, particularly within regulated financial environments like banking and lending.
- Showcase technical expertise: Emphasize your proficiency in Python, LLMs, RAG, Kubernetes/OpenShift, microservices, and DevSecOps practices, aligning with the job's technology stack requirements.
- Prepare for behavioral questions: Be ready to discuss your ability to influence architecture decisions, communicate technical value, and manage risks, demonstrating leadership and delivery focus.
Technical preparation
Master Python (FastAPI, Django) and AI frameworks.,Deepen knowledge of LLMs and RAG architectures.,Practice designing Kubernetes/OpenShift solutions.,Review CI/CD and DevSecOps principles.
Behavioral questions
Describe influencing architecture decisions.,How do you translate technical to business value?,Share an experience managing delivery risks.,Discuss balancing strategy and execution.
Prefer to apply the usual way?
Not recommended alone — most applicants never hear back. Email the hiring manager first.
Frequently asked questions
- What is the primary focus of the Senior Software Architect GenAI Solutions role at PNC?
- The primary focus of this Senior Software Architect GenAI Solutions role at PNC is to define and deliver enterprise-scale AI and automation architecture, with a specific emphasis on Document AI and Generative AI (GenAI) capabilities that support Banking and Lending platforms.
- What level of experience is required for this Senior Software Architect GenAI Solutions position?
- This position requires a minimum of 10 years of experience in software engineering and/or architecture, with a proven track record of designing and delivering enterprise AI/GenAI solutions, especially within regulated financial environments.
- What are the key technical skills needed for the Senior Software Architect GenAI Solutions role?
- Key technical skills include expert-level Python (FastAPI, Django or similar), strong experience with LLMs, RAG architectures, Kubernetes/OpenShift, microservices, event-driven architecture, CI/CD pipelines, DevSecOps, and designing document-centric AI solutions.
- Does PNC offer sponsorship for employment visas for this Senior Software Architect GenAI Solutions role?
- No, PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
- What is the work arrangement for the Senior Software Architect GenAI Solutions position?
- PNC is an in-office company. While this role is based in Dallas, TX or Pittsburgh, PA, candidates are encouraged to connect with their recruiter and hiring manager to understand specific workplace expectations.
- What are the main responsibilities of the GenAI Solutions Architect at PNC?
- The responsibilities include defining and owning GenAI/Document AI architecture, designing LLM-based architectures, establishing standards, driving end-to-end solution delivery, architecting cloud-native solutions, and ensuring compliance with AI governance and responsible AI practices.
- What experience with AI and machine learning is expected for this Senior Software Architect role?
- Strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, enterprise AI integration, prompt engineering, orchestration frameworks, and AI lifecycle management is expected.
- How does PNC support its employees' well-being and professional growth in roles like Senior Software Architect GenAI Solutions?
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