Senior Lead Software Engineer, Agentic AI Platforms

FIS; Jacksonville (FL); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Impact in fintech

Learning & development

Diversity & inclusion

Community engagement

Competitive compensation

Job summary

FIS is seeking an experienced engineer to lead the design and implementation of agentic engineering capabilities that scale the enterprise software development lifecycle. You will guide architectural decisions and coordinate cross-functional delivery to enable reliable AI-assisted software delivery.

You will mentor engineers, define standards for AI-generated software, and drive adoption of scalable, secure platform patterns using Python, TypeScript and cloud-native technologies.

Qualifications

• Expert software engineering across architecture, integration, testing and production operations.
• Advanced proficiency with Python, TypeScript or similar languages for platform development.
• Experience leading complex software initiatives with multiple systems and teams.
• Proven track record building developer platforms, coding frameworks or automation.
• Deep knowledge of cloud architecture, distributed systems, APIs, security and reliability.
• Ability to define technical standards and influence decisions without direct authority.
• Degree in computer science, engineering or related field, or equivalent practical experience.

Responsibilities

• Lead architecture and delivery of enterprise agentic workflows across the software development lifecycle.
• Establish technical patterns for coding agents, harnesses, reusable libraries and automated engineering workflows.
• Design secure Model Context Protocol servers and integration frameworks for enterprise tools and data.
• Define standards for evaluating, testing, monitoring and governing AI-generated software.
• Guide teams building scalable solutions with Python, TypeScript and cloud-native technologies.
• Resolve complex architecture, integration, debugging, performance and reliability challenges.
• Shape technical roadmaps that align platform investments with engineering and business priorities.
• Lead code and design reviews to improve quality, maintainability, security and operational readiness.
• Partner with implementation and client-facing teams to diagnose needs and deliver effective solutions.
• Mentor engineers and communicate technical practices across teams and organizational boundaries.

Skills

Software architecture

Python

TypeScript

Leading complex projects

Cloud architecture

Influence without authority

Education

Bachelor's degree in CS, Engineering, or related field

Job description

Position Type:

Full time

Type Of Hire:

Experienced (relevant combo of work and education)

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 lead the design and implementation of advanced agentic engineering capabilities that scale the enterprise software development lifecycle. You will establish architectures, coding harnesses and reusable libraries that enable coding agents to work effectively across complex development environments. You will guide technical decisions, coordinate cross-functional delivery and help teams adopt reliable AI-assisted engineering practices. Success means creating durable platform capabilities, resolving undefined technical challenges and accelerating responsible software delivery.

What You Will Be Doing

• Lead architecture and delivery of enterprise agentic workflows across the software development lifecycle.
• Establish technical patterns for coding agents, harnesses, reusable libraries and automated engineering workflows.
• Design secure Model Context Protocol servers and integration frameworks for enterprise tools and data.
• Define standards for evaluating, testing, monitoring and governing AI-generated software.
• Guide teams building scalable solutions with Python, TypeScript and cloud-native technologies.
• Resolve complex architecture, integration, debugging, performance and reliability challenges.
• Shape technical roadmaps that align platform investments with engineering and business priorities.
• Lead code and design reviews to improve quality, maintainability, security and operational readiness.
• Partner with implementation and client-facing teams to diagnose needs and deliver effective solutions.
• Mentor engineers and communicate technical practices across teams and organizational boundaries.

What you will need

• Expert software engineering skills across application architecture, integration, testing and production operations.
• Advanced proficiency with Python, TypeScript or comparable languages used for platform development.
• Experience leading complex software initiatives involving multiple systems, teams and stakeholder groups.
• Demonstrated success building developer platforms, coding frameworks, automation systems or reusable libraries.
• Deep knowledge of cloud architecture, distributed systems, APIs, security and software reliability.
• Ability to define technical standards and influence decisions without relying on direct authority.
• Degree in computer science, engineering or a related field, or equivalent practical experience.

Added bonus if you have

• Advanced experience with agentic programming, coding agents or large language model application architecture.
• Experience developing Model Context Protocol servers, tools, registries or governance patterns.
• Knowledge of Claude Code, GitHub Copilot, OpenCode or comparable AI engineering tools.
• Experience establishing evaluation, observability and safety controls for enterprise AI workflows.
• Client-facing engineering experience spanning implementation, technical discovery and complex troubleshooting.
• Experience contributing to long-term technology strategy or enterprise engineering standards.

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 learningInclusive, 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

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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