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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner (AI & Prompt Strategy) - **Company:** Infosys - **Location:** Fort Worth, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Business Logic, Data Files, Chatbots, Large Language Models, Multi-Agent Systems, Virtual Agents - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c230fab51adccdaf ## About the Role Do you have experience in Stakeholder relationship building?, * 5-7 years of Product Management or Product Ownership experience, ideally within mortgage, fintech, or complex customer servicing environments. * Demonstrated experience with AI/ML products, specifically conversational AI, Large Language Models (LLMs), and deep prompt engineering strategies within an enterprise AWS environment. * Proven ability to design multi-agent or complex state-machine conversational architectures. * Strong analytical background with a track record of building effectiveness dashboards, running A/B tests, and utilizing AI-specific metrics (e.g., hallucination tracking, prompt latency) to drive improvements. * Ability to translate complex business logic into precise technical configurations and natural language flows. * Exceptional leadership and stakeholder management skills. ## Description We are seeking a Product Owner (AI & Prompt Strategy) to serve as a prompt-development focused leader for conversational AI initiatives. Operating within a Federated Hub-and-Spoke model, you will sit at the orchestration level across work teams to own the company-wide prompt and persona strategy. Partnering closely with the core engineering team and leading a team of Product Analysts, you will drive the parallel development and deployment of voice AI agents across CDL/Sales, Servicing, and Fulfillment., * Strategy & Orchestration: Lead the overall product vision for conversational AI agents, owning the company-wide persona, brand voice, and overarching prompt strategy. * Agent & Sub-Agent Architecture Design: Architect the multi-agent orchestration layer, defining how primary routing agents interpret user intent and seamlessly hand off tasks to specialized, domain-specific sub-agents (e.g., specific agents for Sales vs. Servicing vs. Fulfillment). Establish the logic boundaries, tool access, and context parameters for each sub-agent. * Iterative Prompt Refinement: Continuously develop, test, and tune complex system prompts, system instructions, and few-shot examples. Optimize these prompts across the AWS tech stack to balance conversational quality, token efficiency, and response latency. * Prompt Effectiveness Tracking & Analytics: Establish robust tracking frameworks to measure prompt and agent efficacy at a granular level. Monitor specialized metrics such as hallucination rates, contextual accuracy, task completion/containment rates, and user drop-off to drive continuous prompt optimization cycles. * Stakeholder Alignment: Serve as the central orchestrator across CDL/Sales, Servicing, and Fulfillment teams to negotiate and refine business requirements, ensuring parallel development without technical bottlenecks. * Testing & Quality Assurance: Define the "Golden Dataset" of test scenarios to feed into engineering's automated LLM-as-a-judge evaluation pipelines. Oversee structured A/B testing initiatives and data analysis to iteratively optimize agent responses against baseline configurations. * Performance & ROI: Define product strategy and track ROI by aligning AI agent performance to key business KPIs, including Customer Satisfaction (CSAT) and Average Handle Time (AHT). * Cross-Functional Collaboration: Partner with the engineering team to integrate prompt designs with the core infrastructure, latency management pipelines, and real-time safety guardrails. ## Related Videos - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Design Patterns For AI Products in 2026](https://www.wearedevelopers.com/videos/100255-design-patterns-for-ai-products-in-2026) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)