Principal Software Engineer, Agentic AI Architecture

Fidelity Information Services, LLC; Florida; On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Competitive salary and benefits

Inclusive, diverse work environment

Opportunities to make an impact in Fin

Professional learning resources

Job summary

FIS is seeking a senior software architecture leader to shape technical direction for agentic engineering across the enterprise. You will define reference architectures for coding agents, harnesses and automated workflows, while setting standards for security, scalability and reliability.

You will guide teams through complex challenges, influence roadmaps and establish governance for AI-generated software. This role emphasizes collaboration across engineering, product and client-facing teams.

Qualifications

• 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.

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.

Skills

Software architecture

Platform engineering

Enterprise app development

Python

TypeScript

Distributed systems

Cloud architecture

APIs

Security

Production reliability

Code quality

Automated testing

Software lifecycle governance

Education

Degree in computer science or related field

Tools

Claude Code

GitHub Copilot

OpenCode

Job description

Job Description

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?

About the Role

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.

What You Will Be Doing

• 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.

What you will need

• 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.

Added bonus if you have

• 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.

What We Offer you

At FIS, you can grow your career as far as you want to take it. Here's what else we offer:

• 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

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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