Software Architect Sr (GenAI Solutions Architect)
About The Position
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. 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. Leads in the overall design of cross-functional, multi-platform, and Web-based application systems; oversees all application system processes. Develops application architecture and blueprints aimed at reflecting enterprise business logic. Defines application components, platforms, interfaces, and development tools. Directs mapping activities on specific technology platforms. Provides technical guidance to application development teams. Consults on integration and conversion activities. Conducts reviews, and analyses organizational needs and goals to develop and implement applications.
Requirements
- 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
- 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
- Bachelors degree (In lieu of degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered)
Nice To Haves
- 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)
Responsibilities
- 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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
