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:

• 3+ years of experience in designing front-end applications.
• 2+ years of proficiency in AI/LLM and NLP technology.
• 2+ years of experience working with cloud technologies.
• Proficiency in SQL and Splunk for data querying and log analysis.
• Bachelor’s degree in computer science or a relevant field, and/or equivalent military experience.

EXPERIENCE THAT WOULD BE GREAT TO HAVE:

• Experience with Snowflake for data warehousing and analytics.
• Familiarity with AI/ML workflows, especially NLP, classification, and multi-model architecture.
• Integrating IVR applications into large-scale environments, with cloud API integrations.
• Ability to work in Agile/Scrum environments and use tools like JIRA or Confluence and experience working within the financial services industry.
• Certification in AI, cloud technologies, or Genesys.

ABOUT YOUR ROLE:

You will play a critical role in designing and implementing advanced Interactive Voice Response (IVR) applications using state-of-the-art AI with NLP. Leveraging the Genesys architecture, along with AI and cloud technologies, this role transforms business requirements into innovative, cloud-native solutions. Our commitment to excellence and client success drives this role, contributing greatly to our mission of delivering superior financial services and technology solutions.

WHAT YOU’LL DO:

• Create AI Agents leveraging Azure’s Semantic Kernel framework.
• Work with data scientists to define use cases for NLP and classification models. Support model evaluation, deployment, and performance tracking.
• Analyze unstructured data (e.g., text, logs) to extract insights using AI tools and collaborate with data engineering teams to define and validate data pipelines on Azure and Snowflake.
• Work with internal and external business stakeholders to gather business requirements and translate them into functional and technical specifications and communicate insights and recommendations to both technical and non-technical audiences.
• Translate business requirements into scalable cloud-based solutions and Identify opportunities for automation and process optimization using AI and cloud tools.
• Produce detailed and insightful reports using SQL, Data Mart, Splunk, and other reporting tools and ensure the integration and functionality of applications within Fiserv’s ecosystem.
• Continuously improve and refine development processes to enhance application performance and user experience and maintain comprehensive documentation of application development and updates, including but not limited to call flows, business rules, and system interactions.
• Perform rigorous testing and debugging to ensure applications meet Fiserv’s high-quality standards.

IMPORTANT INFO ABOUT THIS ROLE:

• We’re better together! This role is fully on-site.
• This is a full-time, direct-hire position, and no contract options or unsolicited agency submissions will be considered.
  

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This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island or Washington.
It is unlawful to discriminate against a prospective employee due to the individual’s status as a veteran.
Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.

Thank you for considering employment with Fiserv. Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).