Senior AI Software Engineer

Senior AI Software Engineer

Chicago, Illinois

FIS® Amount™ provides a unified digital origination and decisioning platform that helps financial institutions meet the moment. Designed to scale with banks and credit unions at any stage of their digital journey, FIS® Amount™ delivers a seamless, digital-first experience—streamlining everything from loan origination to deposit account opening. With built-in fraud orchestration and risk management, FIS® Amount™ enables financial institutions to control risk across any product while optimizing performance and enhancing security. Our flexible, modular platform is backed by enterprise-grade infrastructure and compliance, allowing institutions to launch new offerings in months, not years.

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 start learning, growing and making an impact with a career in fintech, we'd like to know: Are you FIS?

A Day In The Life

As an AI Software Engineer, you'll spend your days architecting and building AI-powered systems that leverage foundational models like OpenAI, Claude, and Llama to solve real business problems. You'll balance hands-on development of backend services and APIs with designing scalable AI integration patterns, building experimentation frameworks, and ensuring seamless deployment across our technology stack.

You'll work closely with product managers to translate business needs into technical implementations, collaborate with data scientists on model integration, and guide teams on adopting the latest AI capabilities. You'll drive rapid test-and-learn cycles, prototyping solutions that unlock significant business opportunities. You'll also champion best practices for responsible AI implementation, ensuring our solutions are scalable, reliable, and maintainable.

This role is perfect for an expert generalist who thrives in fast-paced environments and wants to be at the forefront of AI innovation, turning cutting-edge technology into practical business solutions.

Embedded within the AI Pathfinder team, collaborating across a cross-functional group of ~8–10 engineers, data scientists, and product managers within the Technology zone

AI Platform Engineer, AI Engineer

What We'll Trust You To Deliver

AI Solution Development

• Design and build backend services and APIs that deploy AI-powered features using foundational models
• Implement scalable architectures supporting AI workflows, automation, and data processing pipelines
• Create end-to-end solutions that translate high-level business problems into functional AI implementations
• Build experimentation frameworks enabling rapid iteration and deployment of AI functionalities

System Integration & Architecture

• Integrate AI services into complex technology stacks, ensuring seamless interoperability
• Connect AI capabilities with microservices, AWS platform components, and Redshift data systems
• Manage complex dependencies across multi-stack environments
• Ensure system reliability, scalability, and maintainability

Innovation & Experimentation

• Drive test-and-learn cycles with rapid prototyping of AI-driven solutions
• Evaluate and adopt new AI frameworks, tools, and capabilities
• Build proof-of-concept solutions for the company's most exciting problems
• Stay current with the evolving AI ecosystem to guide technical decisions

Cross-Team Collaboration

• Partner with product managers to understand and translate business requirements
• Work with data scientists on model integration and optimization
• Coordinate with frontend engineers on API design and feature delivery
• Document system designs, APIs, and workflows for knowledge sharing

What You Likely Bring To The Table

• 5+ years of backend software engineering with strong Python skills; experience with Java is a plus
• Proven track record designing and developing scalable APIs and distributed services (FastAPI, PostgreSQL, Redis)
• Deep understanding of cloud infrastructure (AWS Services, Bedrock), container orchestration (Kubernetes, Docker), and CI/CD pipelines
• Hands-on experience integrating AI/ML services and managing AI API dependencies (OpenAI, Claude, LangChain, vector databases)
• Practical knowledge of AI orchestration frameworks and data pipeline tooling (Redshift, Temporal)
• Test-and-learn mindset with strong rapid prototyping abilities
• Excellent communication skills for both technical and business stakeholders
• Experience with responsible AI principles, data privacy, and system reliability

Note

• Most positions are hybrid (3 days onsite) in our FIS Office locations in Chicago (Illinois), Milwaukee (Wisconsin), Atlanta (Georgia) and Jacksonville (Florida).
• Current and future sponsorship not available for this position

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.