Fidelity National Information Services→
Senior AI Software Engineer at Fidelity… · Chicago
ExperiencedHybridFull-timeChicago, IL
Job Description
Senior AI Software Engineer
Location: US IL CHI 222 STE 1700
Job Description
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?
NOTE:
This position is hybrid (3 days onsite) in our FIS Office locations in Chicago (Illinois), New York City (New York), Milwaukee (Wisconsin) and Jacksonville (Florida).
Current and future sponsorship not available for this position
About the Team:
We are the premiere digital transformation partner for financial institutions committed to the future of banking and to creating safe and personalized customer experiences that help people better manage their financial lives. Our fully integrated and flexible platform is built on years of digital lending experience, enabling digital agility within months and a full suite of end-to-end consumer, small business and embedded finance solutions that fit the way people want to bank.
FIS technology powers the world’s economy and our teams bring innovation to life. If you are ready to start learning, growing, and making an impact with a career in fintech, we encourage you to apply. Are you FIS?
About the Role:
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 in our innovation lab, 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.
What You Will Be Doing:
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 Bring:
Bachelor's or Master's in Computer Science, Engineering, or related technical field
5+ years of backend software engineering with strong Python skills (Ruby or Go experience is a plus)
Proven track record designing and developing scalable APIs and distributed services
Deep understanding of cloud infrastructure, container orchestration, and CI/CD pipelines
Hands-on experience integrating AI/ML services and managing AI API dependencies
Practical knowledge of major foundational model providers and AI orchestration frameworks
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
Preferred Tools:
Python, AWS Bedrock, Langchain, OpenAI API, Claude, Vector Databases, Redshift, AWS Services, Kubernetes, Docker, FastAPI, Redis, PostgreSQL, Temporal, Git, CI/CD pipelines
What We Offer You:
A voice in the future of fintech.
Continuous learning and development.
Collaborative work environment.
Opportunities to give back.
Competitive salary and benefits.
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.
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