Architecting and building AI-powered systems that leverage foundational models
Balanced 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
Collaborating with product managers to translate business needs into technical implementations
Guiding teams on adopting the latest AI capabilities and driving rapid test-and-learn cycles
Championing best practices for responsible AI implementation to ensure solutions are scalable, reliable, and maintainable.

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.

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

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