Job Description

Hope you are doing well. This is Dheeraj from Stellent IT .

We are hiring for the given job requirement. If you are interested in this role then please share below details:

1. Updated Resume
2. Current Location
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4. LinkedIn Id

Job Title: Product Owner

Location: Charlotte, NC or Bay Area, CA (Onsite_ Local candidates preferred)

Duration: 6+ months

Experience: 8-12 years

Role Summary: The Product Owner will partner with business and technology teams to take AI and agentic use cases from initial problem framing through production release and adoption. The role owns use-case intake, prioritization, backlog management, acceptance criteria, evaluation KPIs, governance readiness, and measurable business outcomes.

Key Responsibilities:

• Facilitate business problem framing and identify suitable AI, LLM, RAG, or agentic solution patterns.
• Manage use-case intake, prioritization, feasibility assessment, and roadmap alignment.
• Create product epics, user stories, acceptance criteria, and release objectives.
• Coordinate data, model, platform, security, risk, and engineering stakeholders.
• Define business, model-quality, operational, adoption, and value-realization KPIs.
• Support model selection, prompt strategy, RAG design, evaluations, and human-in-the-loop controls.
• Ensure responsible AI, security, compliance, and model-risk requirements are addressed.
• Drive user acceptance, release readiness, adoption planning, and post-release outcome tracking.

Required Skills:

• Product management and Agile backlog ownership.
• Business problem framing and use-case prioritization.
• Understanding of LLMs, RAG, agentic AI, model selection, and evaluation approaches.
• Experience defining functional and non-functional acceptance criteria.
• Responsible AI, model-risk, security, and governance controls.
• Product analytics, adoption metrics, and business-value measurement.
• Executive communication and stakeholder facilitation.
• Experience working with multidisciplinary AI engineering teams.

Preferred Qualifications:

• Bachelor's or master's degree in technology, business, data science, or a related field.
• Product Owner, Scrum, SAFe, or product-management certification.
• Experience delivering enterprise AI solutions in a regulated environment.

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