> Markdown version of [/jobs/ext/2590751-ai-enablement-product-owner-irving-texas-irving-tx-or-charlotte-nc-hybrid-onsite](https://www.wearedevelopers.com/jobs/ext/2590751-ai-enablement-product-owner-irving-texas-irving-tx-or-charlotte-nc-hybrid-onsite). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Enablement Product Owner Irving, Texas (Irving TX) Or Charlotte NC - Hybrid Onsite

- **Company:** Stellent IT LLC
- **Location:** Irving, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $107,120.0 - $160,680.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Scrum Methodology, Usage Analysis, Large Language Models
- **Published:** August 29, 2026
- **Apply:** https://www.careerjet.com/jobad/usd00cea67c92c19ef7f9103c3c86663eb

## About the Role

* 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., * 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.

## Description

The AI Enablement 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., The Digital S/W Engineer Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement …
 + 7 days ago, Senior AI Automation Engineer Irving, TX (Onsite) Contract Summary In this role, you will serve as a senior technical expert within clients function. You will design, build, o…
 + 10 days ago


## Related Videos

- [AI and Agility: The Dynamic Duo for Disruption](https://www.wearedevelopers.com/videos/2081-ai-and-agility-the-dynamic-duo-for-disruption)
- [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity)
- [Coffee with Developers - Cassidy Williams - ](https://www.wearedevelopers.com/videos/912-coffee-with-developers-cassidy-williams)
- [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models)
- [AI-Enabled Organisations: From Strategy to Practice](https://www.wearedevelopers.com/videos/100171-ai-enabled-organisations-from-strategy-to-practice)
- [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours)

## Related Articles

- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)