What are the responsibilities and job description for the Product Owner - Agentic AI position at Jobs via Dice?
Responsibilities:**
Define and drive the product vision, roadmap, and strategy for Agentic AI and GPT-based solutions.
Gather and translate business requirements into user stories, acceptance criteria, and product backlogs.
Lead the development of custom GPTs, AI agents, and conversational AI solutions tailored to enterprise needs.
Collaborate with AI/ML engineers, data scientists, and development teams to deliver scalable AI products.
Manage Agile/Scrum ceremonies including sprint planning, backlog grooming, and retrospectives.
Ensure proper integration of LLMs, RAG pipelines, APIs, and enterprise systems.
Define and track KPIs, product metrics, and user adoption for AI solutions.
Work closely with stakeholders to prioritize features based on business impact and feasibility.
Ensure compliance with AI governance, security, and ethical standards.
Strong understanding of RAG (Retrieval-Augmented Generation), embeddings, vector databases, and prompt engineering.
Hands-on experience with Agentic AI frameworks and architectures.
Experience in building and managing Custom GPTs / LLM-based applications.
Familiarity with OpenAI, Anthropic, or similar LLM platforms.
Experience working in Agile/Scrum environments with cross-functional teams.
Define and drive the product vision, roadmap, and strategy for Agentic AI and GPT-based solutions.
Gather and translate business requirements into user stories, acceptance criteria, and product backlogs.
Lead the development of custom GPTs, AI agents, and conversational AI solutions tailored to enterprise needs.
Collaborate with AI/ML engineers, data scientists, and development teams to deliver scalable AI products.
Manage Agile/Scrum ceremonies including sprint planning, backlog grooming, and retrospectives.
Ensure proper integration of LLMs, RAG pipelines, APIs, and enterprise systems.
Define and track KPIs, product metrics, and user adoption for AI solutions.
Work closely with stakeholders to prioritize features based on business impact and feasibility.
Ensure compliance with AI governance, security, and ethical standards.
- Skills:**
Strong understanding of RAG (Retrieval-Augmented Generation), embeddings, vector databases, and prompt engineering.
- Experience:**
Hands-on experience with Agentic AI frameworks and architectures.
Experience in building and managing Custom GPTs / LLM-based applications.
Familiarity with OpenAI, Anthropic, or similar LLM platforms.
Experience working in Agile/Scrum environments with cross-functional teams.