Product Owner – GenAI Model Onboarding and RAG Solutions

Product Owner – GenAI Model Onboarding and RAG Solutions

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred.
• 7+ years of experience in AI/ML product development, prompt engineering, or technical solution design.
• Deep understanding of Generative AI models, RAG methodologies, and natural language processing (NLP).
• Proven experience in designing and implementing technical architectures for AI solutions.
• Strong coding and scripting skills (e.g., Python, APIs) and familiarity with cloud-based AI tools and platforms.
• Certifications in Agile methodologies or cloud technologies are a plus.

Responsibilities

• Own and manage the product lifecycle for GenAI RAG solutions, from concept to deployment.
• Design and oversee the development of scalable and secure architectures for AI integration across business functions.
• Collaborate with technical teams to ensure high-performance implementation of GenAI and RAG solutions.
• Develop and refine effective prompts to optimize the performance of GenAI models for various applications.
• Experiment with prompt structures and fine-tune model outputs to align with business needs and user expectations.
• Document prompt strategies and methodologies to create reusable frameworks for future use cases.
• Lead the design and delivery of RAG-based solutions tailored to enhance decision-making, operational efficiency, and customer experience.
• Partner with data science teams to integrate retrieval mechanisms that improve model accuracy and relevance.
• Drive the adoption of AI tools across teams by demonstrating their value through well-defined use cases.
• Work closely with cross-functional teams, including business leaders, data scientists, and technology teams, to align AI initiatives with organizational objectives.
• Facilitate discussions to identify opportunities for applying GenAI and RAG solutions to solve key business challenges.
• Act as a bridge between technical teams and stakeholders, ensuring clear communication and mutual understanding.
• Define and track key metrics to evaluate the performance and impact of GenAI and RAG implementations.
• Conduct ongoing optimization of solutions based on performance data, user feedback, and evolving business needs.
• Stay updated on advancements in GenAI and RAG technologies to continuously improve solution capabilities.
• Research and implement cutting-edge techniques in GenAI and RAG to drive innovation.
• Develop best practices for integrating AI solutions into existing workflows and systems.
• Mentor team members and stakeholders on leveraging GenAI effectively and responsibly.

Preferred Qualifications

• Expertise in AI model optimization, prompt engineering, and retrieval systems.
• Strong foundation in designing scalable and secure technical architectures.
• Analytical mindset with the ability to address complex challenges using AI-driven solutions.
• Proactive approach to identifying and mitigating potential technical risks.
• Exceptional communication skills to bridge the gap between technical and non-technical stakeholders.
• Proven ability to lead cross-functional teams and foster collaboration.
• Passion for exploring emerging AI technologies and applying them to real-world problems.
• Continuous learner with a commitment to staying ahead of industry trends.
• Strong project management skills to deliver high-quality solutions on time and within scope.
• Detail-oriented approach to ensure robustness and reliability of AI solutions.