Principal Software Engineer, Agentic AI Architecture
About The Position
The Principal Software Engineer will shape the technical direction for mission-critical agentic engineering capabilities across FIS. The role defines how coding agents, harnesses, reusable libraries, and automated workflows transform the software development lifecycle. As a recognized software engineering expert, this person guides cross-functional teams through undefined technical challenges and establishes standards for quality, security, and scalability. Success includes 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 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 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
Education Level
No Education Listed
