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AI and Cloud Business Analyst – IVR Application
FiservAI 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.
Tech Stack
Tools & technologiesAzureCloudSplunkSQL
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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