FIS
SoftwareEngineerSrLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Software Engineer Sr Lead at FIS. Skills: AI, Automation, Software engineering, Technical leadership. Design AI-driven software solutions. Develop AI-driven software solutions”
Industry & Context.
Problem-solving; Root cause analysis
What They're Looking For.
Must Have
Bachelor's degree in computer science, Equivalent practical experience, Advanced expertise in software engineering, Experience building complex, distributed systems, Proven success delivering AI-enabled software, Proven success delivering automation-focused software, Proficiency in modern programming languages, Proficiency in modern frameworks, Proficiency in AI/ML integration patterns, Experience integrating AI models into applications, Solid understanding of cloud-native development, Solid understanding of scalability, Solid understanding of system reliability, Ability to lead technically, Ability to set direction, Ability to mentor engineers, Ability to influence design decisions, Problem-solving skills, Focus on pragmatic solutions, Focus on maintainable solutions
Nice to Have
Experience with employee-facing platforms, Experience with enterprise productivity tools, Hands-on exposure to AI/ML platforms, Hands-on exposure to LLMs, Hands-on exposure to NLP, Hands-on exposure to workflow automation technologies, Knowledge of data privacy, Knowledge of security, Knowledge of responsible AI practices, Advanced degree in AI, Advanced degree in machine learning, Advanced degree in software engineering, Certifications in AI, Certifications in machine learning, Certifications in software engineering, Experience mentoring engineers, Experience leading cross-functional technical initiatives
What You'll Do.
Design AI-driven software solutions
Develop AI-driven software solutions
Deploy AI-driven software solutions
Improve employee productivity
Improve employee experience
Lead engineering initiatives
Focus on AI integration
Build production-grade systems
Evolve production-grade systems
Integrate AI/ML models
Integrate models into workflows
Collaborate with product stakeholders
Collaborate with UX stakeholders
Collaborate with business stakeholders
Translate requirements
Define engineering best practices
Enforce engineering best practices
Define coding standards
Enforce coding standards
Define quality benchmarks
Enforce quality benchmarks
Perform advanced debugging
Perform system analysis
Ensure maintainability
Evaluate AI/ML technologies
Adopt AI/ML technologies
Evaluate AI/ML frameworks
Adopt AI/ML frameworks
Evaluate engineering patterns
Adopt engineering patterns
Guide cloud-native development
Ensure AI applications are secure
Ensure AI applications are scalable
Ensure AI applications are well-operated
Produce technical documentation
Support system ownership
Support knowledge sharing
How You'll Work.
Team & Collaboration
Cross-functional technical initiatives
Communication Scope
Technical documentation
Full Job Description
**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 sof
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