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Fiserv

AI and Cloud Business Analyst – IVR Application

Fiserv

AI and Cloud Business Analyst designing and implementing advanced IVR applications leveraging AI and cloud technologies. Contributing to innovative, cloud-native solutions in fintech with Fiserv.

Posted 5/1/2026full-timeNew York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudSplunkSQL

About the role

Key responsibilities & impact
  • 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
  • Communicate insights and recommendations to both technical and non-technical audiences
  • Translate business requirements into scalable cloud-based solutions
  • 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
  • Ensure the integration and functionality of applications within Fiserv’s ecosystem
  • Continuously improve and refine development processes to enhance application performance and user experience
  • 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

Requirements

What you’ll need
  • 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 with Snowflake for data warehousing and analytics (great to have)
  • Familiarity with AI/ML workflows, especially NLP, classification, and multi-model architecture (great to have)
  • Ability to work in Agile/Scrum environments and use tools like JIRA or Confluence (great to have)
  • Certification in AI, Azure cloud technologies, or Genesys (great to have)

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
AI AgentsNLPclassification modelsSQLdata analysisdata warehousingSnowflakecloud-based solutionsautomationprocess optimization
Soft Skills
communicationcollaborationrequirements gatheringproblem-solvingdocumentationtestingdebugginginsight generationstakeholder engagementprocess improvement
Certifications
AI certificationAzure cloud technologies certificationGenesys certification