Principal, Solutions Architecture

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Principal, Solutions Architecture About your role You will play a critical role in designing, developing, and maintaining high-quality software applications. You will work with cross-functional teams to deliver solutions that align with our business goals and client needs Key Responsibilities Technology Leadership At Scale: You’ll set and evolve engineering standards (code quality, architecture patterns, CI/CD practices, security posture) across the Issuer Solutions portfolio Conduct solution architecture reviews, code reviews, and design consultations that raise the quality bar for teams building in Java/Spring, .NET, Angular, Python, and related technologies Define reusable patterns, reference implementations, and decision frameworks that teams can adopt independently. Bridge the gap between corporate platform teams (AI CoE, Cloud Engineering, Security) and delivery teams by translating enterprise mandates into actionable delivery. AI Adoption and Innovation Champion the adoption and integration of AI-assisted engineering workflows demonstrating measurable impact on quality and throughput. Experience integrating LLMs into enterprise applications (chatbots, copilots, knowledge database) Evaluate, pilot, and operationalize AI developer tools across the organization, coaching teams to integrate them into their daily workflows. Deliver technical training, workshops, and enablement sessions on AI adoption and emerging AI-assisted practices. Defining governance for AI-generated code Experience with data pipelines for AI (data ingestion, feature engineering, embeddings) Engineering Excellence & Quality Remain hands-on: prototype solutions, build internal tools, contribute to critical-path code when the situation demands it. Drive measurable improvements in code quality, defect escape rate, and delivery lead time through tooling, process improvement, and coaching. Deeply understand Client and customer journey to Identify systemic quality issues across the portfolio and propose durable, root-cause solutions Continuous improvement mindset & understanding of Enterprise applications at scale Mentoring & Knowledge Transfer Mentor senior engineers toward deeper architectural thinking, production ownership, AI fluency, and cross-team influence. Build communities of practice and engineering alignment forums that sustain momentum beyond individual sessions.

10+ years of professional software engineering experience, with at least 5 years operating at a staff, principal, or architect level of influence across multiple teams. 8+ years of experience in Java, Spring Boot, or equivalent enterprise frameworks (microservices, REST APIs, JPA/Hibernate, messaging). Demonstrated experience adopting and championing AI-assisted development tools to improve engineering outcomes at scale. Strong understanding of LLM-based architectures, prompt engineering, RAG patterns, and AI governance with hands-on experience integrating AI into enterprise-scale applications. 4+ years of experience with CI/CD pipelines and DevOps practices (GitLab CI, Jenkins, automated testing strategies). 4+ years of experience with cloud-native and containerized environments (OpenShift/Kubernetes, Docker, AWS/Azure/GCP). 4+ years of experience with modern databases (SQL, No-SQL). Proven track record of influencing engineering quality across multiple teams without direct reporting authority. Understanding