Senior AI Software Engineer

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. Learn more at www.fisglobal.com.

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.

Team: 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

Similar job titles: 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