CALLING ALL INNOVATORS - FIND YOUR FUTURE AT FISERV.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

EXPERIENCE YOU’LL NEED TO HAVE:

• 6+ years of experience in Python
• 6+ years of experience with cloud solutions such as AWS, Azure, or Google Cloud Platform
• 2+ years of experience in implementing generative AI services
• Experience in enterprise architecture, risk compliance, and AI governance
• Experience integrating AI solutions and modern DevOps practices, including CI/CD, microservices, and containerization
• Bachelor’s degree in computer science, IT, or an equivalent combination of work, education, and/or military experience

EXPERIENCE THAT WOULD BE GREAT TO HAVE:

• Proficiency with machine learning frameworks like Tensor Flow or PyTorch
• Experience with Retrieval Augmented Generation and agentic AI frameworks
• Effective communication skills for effective cross-team collaboration and project management
  

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ABOUT YOUR ROLE:

You will lead the implementation of generative AI services within our enterprise environment and integrate advanced AI capabilities with existing enterprise architecture. While navigating technical challenges and ensuring compliance with governance requirements, you will leverage AI to enhance productivity, quality, and operational excellence to help our clients grow through innovative financial services experiences.

WHAT YOU’LL DO:

• Lead the implementation of generative AI services within our enterprise environment to drive innovation and client growth
• Apply advanced software development techniques using Python to create innovative solutions
• Integrate AI capabilities with existing enterprise architecture and ensure seamless systems collaboration
• Evaluate and identify new AI project ideas, as well as register existing AI projects ensuring adherence to safe and responsible AI practices
• Use AI solutions to mitigate risks and ensure compliance with AI governance policies
• Implement AI platforms and review AI use cases from a technical perspective utilizing modern DevOps practices
• Communicate effectively with leaders and stakeholders to drive AI governance, strategy, and problem-solving, addressing data handling risks and ensuring operational excellence