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AI Product Owner

Techridge, Inc.
United States
1 day ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Interactive Voice Response Computer Literacy Data Visualization Fraud Prevention and Detection Python (Programming Language) Scrum Methodology Tensorflow Salesforce.Com SQL Databases
+4 more
Pega Chatbots Large Language Models Prompt Engineering

Requirements

  • 8+ years of relevant experience; 5+ years as a Product Owner, preferably in financial services, banking, or credit cards.
  • In-depth understanding of GenAI/LLMs, prompt engineering, RAG, and AI development workflows.
  • Domain expertise in credit-card systems, fraud detection, or personalized customer marketing.
  • Experience with one or more platforms: Salesforce, Pega, IVR, Chat/Chatbot, Secure Message, Digital, Contact Center.
  • Technical literacy: familiarity with Python, SQL, data visualization, and AI/ML frameworks (e.g., TensorFlow, LangChain).
  • Strong Agile experience (Scrum or SAFe).
  • Experience deploying GenAI solutions (custom LLMs and/or AWS/Salesforce/Pega out-of-the-box solutions) is highly desirable.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

1:00 min

Introduction to chatbot infrastructure and cloud challenges

Stan Girard Stan Girard · World Congress 2024

3:58 min

Launching a ChatGPT driver's license for HR professionals

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

3:55 min

Evaluating central server APIs against edge deployment models

Hauke Brammer · World Congress 2021

4:30 min

Demonstrating a knowledge graph powered chatbot interface

Tomaz Bratanic · World Congress 2023

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

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LIVE • almost 3 years ago

Building Products in the era of GenAI

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Machine learning in the browser with TensorFlowjs thumbnail
38:24
LIVE • over 5 years ago

Machine learning in the browser with TensorFlowjs

HÃ¥kan Silfvernagel

Chatbots are going to destroy infrastructures and your cloud bills thumbnail
21:21
World Congress 2024 • about 2 years ago

Chatbots are going to destroy infrastructures and your cloud bills

Stan Girard

GenAI after the Hype: Transforming Organizations with GenAI-based Agents thumbnail
29:26
World Congress 2024 • about 2 years ago

GenAI after the Hype: Transforming Organizations with GenAI-based Agents

Alexander Birke, Silke Eggert

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale) thumbnail
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World Congress 2023 • almost 3 years ago

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

Dora Petrella

Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems thumbnail
30:34
World Congress 2026 Europe • about 2 months ago

Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems

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