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# GEN AI PRODUCT OWNER

- **Company:** Moffitt Cancer Center
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $105,854.0 - $161,392.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, ARM Architecture, Microsoft Azure, Health Informatics, Cloud Computing Security, Cloud Engineering, Data as a Services, Machine Learning, Scrum Methodology, Software Product Management, Azure Machine Learning, Chatbots, Fast Healthcare Interoperability Resources, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Information Technology, Health Level Seven International
- **Published:** July 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=278eb8ec2a145bbd

## About the Role

Inforamation Systems, Computer Science, Data Science or Analytics is required. Master's Degree, preferred. * Seven (7) years of experience as a Software Developer, Systems Analyst, Cloud Engineer, Machine Learning Engineer, AI Engineer, or Data Scientist working on GenAI products or platforms * The following certifications are preferred: PMI Certified Agile Certified Practitioner (PMIACP), Scrum Master Certified (SMC), Certified Scrum Master (CSM), Certified Scrum Product Owner (CSPO) Moffitt Cancer Center is an NCI-designated comprehensive Cancer Center in Tampa, Florida. Tampa is an ideal choice for those seeking opportunities in a rapidly growing metropolitan city. With its vibrant economy and diverse culture, Tampa Bay offers a unique blend of urban sophistication and natural beauty. Join the many who have already discovered what makes Tampa one of the fastest-growing metropolitan cities in the US. Moffitt Team Members are: * Eligible for an annual Team

## Description

The Generative AI (GenAI) Product Owner (PO) is a member of the Health Informatics department in Health Data Services and supports delivery of GenAI solutions and drive adoption across the Moffitt Enterprise. The Gen AI PO manages product roadmaps, backlog, product releases, best practices, and value measurement to optimize GenAI deployments and AI lifecycle management. The position supports the design, development, and deployment of generative AI products, with a focus on prompt engineering, retrieval-augmented generation (RAG), and large language models (LLMs) to bridge the gaps between engineering teams and end users across clinical, research, and administrative functions., governance, bias monitoring, safety guardrails, and integration with secure cloud environments. The Ideal Candidate: * Hands-on experience with Generative AI, including prompt engineering, LLM fine-tuning, and RAG system design. * Proven track record delivering AI-driven products, such as chatbots, assistants, or workflow automation tools. * Technical familiarity with cloud AI/ML platforms, such as Azure AI Studio, OpenAI APIs, AWS Bedrock, or Snowflake Cortex. * Strong ability to translate complex technical concepts into clear, actionable requirements for multidisciplinary teams. * Experience operating within agile product development frameworks. * Working knowledge of healthcare data standards (FHIR, HL7), data privacy, HIPAA, PHI handling, and integration into clinical workflows. * Excellent communicator and collaborator with a passion for driving responsible AI adoption in healthcare. Credentials and Qualifications: *, Bachelor's Degree in Informatics


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