Principal Software Engineer, Agentic AI Architecture
About The Position
At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS? You will shape the technical direction for mission-critical agentic engineering capabilities across the enterprise. You will define how coding agents, harnesses, reusable libraries and automated workflows transform the software development lifecycle. As a recognized software engineering expert, you will guide cross-functional teams through undefined technical challenges and establish standards for quality, security and scalability. Success means delivering precedent-setting solutions, influencing engineering strategy and enabling responsible adoption of AI-assisted development.
Requirements
- Master-level expertise in software architecture, platform engineering and enterprise application development.
- Advanced proficiency with Python, TypeScript or comparable languages used for complex software platforms.
- Demonstrated success shaping technical strategy for large-scale, long-term software initiatives.
- Deep experience with distributed systems, cloud architecture, APIs, security and production reliability.
- Proven ability to establish engineering standards and influence decisions across organizational boundaries.
- Expertise in code quality, automated testing, performance optimization and software lifecycle governance.
- Degree in computer science, engineering or a related field, or equivalent practical experience.
Nice To Haves
- Recognized expertise in agentic programming, coding agents or large language model application architecture.
- Experience defining enterprise patterns for Model Context Protocol development and adoption.
- Deep knowledge of Claude Code, GitHub Copilot, OpenCode or comparable AI engineering ecosystems.
- Experience establishing AI evaluation, observability, safety and governance frameworks.
- Client-facing engineering experience involving technical strategy, implementation and executive-level communication.
- Advanced degree in computer science, engineering or a related technical discipline.
Responsibilities
- Define the enterprise architecture and technical strategy for agentic software engineering capabilities.
- Establish reference architectures for coding agents, harnesses, reusable libraries and automated development workflows.
- Set engineering standards for Model Context Protocol servers, tools, interfaces and lifecycle management.
- Guide mission-critical design decisions involving security, scalability, reliability and platform interoperability.
- Establish rigorous controls for evaluating, testing, monitoring and governing AI-generated software.
- Optimize complex software architectures to support changing requirements and enterprise-scale adoption.
- Advise engineering, product, implementation and client-facing teams on high-impact technical decisions.
- Lead investigation and resolution of the organization’s most complex software and integration challenges.
- Coach senior engineers and technical leads on architecture, agentic programming and engineering excellence.
- Influence long-term roadmaps, development practices and technology investments across the organization.
Benefits
- Opportunities to make an impact in fintech
- Personal and professional learning
- Inclusive, diverse work environment
- Resources to give back to your community
- Competitive salary and benefits
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What This Job Offers
Job Type
Full-time
Career Level
Principal
