Senior AI Software Engineer

FIS is a technology company that powers the world’s economy, and they are seeking a Senior AI Software Engineer to architect and build AI-powered systems. The role involves developing backend services and APIs, collaborating with product managers and data scientists, and ensuring the seamless deployment of AI functionalities across the technology stack.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 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