Software Engineer Sr Lead

Job Description

About FIS

We are FIS. Our technology powers the world’s economy, and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients, and communities. If you’re ready to learn, grow, and make an impact with a career in fintech, we’d like to know: Are you FIS?

About the Role

As the Software Engineer Sr Lead, you will be a hands-on technical leader driving AI and automation solutions that transform the employee digital experience. You will design, build, and scale intelligent software systems, applying modern AI techniques to solve real business problems at enterprise scale.

This role blends deep engineering expertise with technical leadership—setting standards, guiding teams, and delivering high-impact AI-powered capabilities across the organization.

What You Will Be Doing:

• Design, develop, and deploy AI-driven software solutions that improve employee productivity and experience
• Lead complex engineering initiatives focused on AI integration, automation, scalability, and performance
• Build and evolve production-grade systems that integrate AI/ML models into core enterprise workflows
• Collaborate with product, UX, and business stakeholders to translate requirements into high-quality technical solutions
• Define and enforce engineering best practices, coding standards, and quality benchmarks
• Perform advanced debugging, code reviews, and system analysis to ensure reliability and maintainability
• Evaluate and adopt emerging AI/ML technologies, frameworks, and engineering patterns
• Guide cloud-native development, ensuring AI applications are secure, scalable, and well-operated
• Produce clear technical documentation to support long-term system ownership and knowledge sharing

What You Will Need:

• Advanced expertise in software engineering with experience building complex, distributed systems
• Proven success delivering AI-enabled or automation-focused software in production environments
• Strong proficiency in modern programming languages, frameworks, and AI/ML integration patterns
• Experience integrating AI models into applications (e.g., inference services, APIs, workflows)
• Solid understanding of cloud-native development, scalability, and system reliability
• Ability to lead technically—setting direction, mentoring engineers, and influencing design decisions
• Strong problem-solving skills with a focus on pragmatic, maintainable solutions
• Bachelor’s degree in computer science, engineering, or equivalent practical experience

Added Bonus If You Have:

• Experience with employee-facing platforms or enterprise productivity tools
• Hands-on exposure to AI/ML platforms, LLMs, NLP, or workflow automation technologies
• Knowledge of data privacy, security, or responsible AI practices
• Advanced degree or certifications in AI, machine learning, or software engineering
• Experience mentoring engineers or leading cross-functional technical initiatives

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.

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