Citi
Product Owner - GenAI Model Onboarding and RAG Solutions – VP - Citi Wealth
388 Greenwich Street, New York, NY
Full-time · $142k–$213k (as posted)
First seen by offpeak October 19, 2026
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Position Overview: We are seeking a forward-thinking and technically skilled Product Owner to lead the development and implementation of Generative AI (GenAI) model onboarding and Retrieval-Augmented Generation (RAG) solutions across diverse business use cases. This role requires a deep understanding of AI technologies, strong skills in prompt engineering, and experience in designing scalable technical architectures. The ideal candidate will play a pivotal role in harnessing the potential of advanced AI technologies to solve complex business problems and drive innovation.
Key Responsibilities:
Technical Leadership:
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.
Prompt Engineering Expertise:
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.
Solution Design and Deployment:
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.
Collaboration and Stakeholder Engagement:
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.
Performance Optimization and Monitoring:
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.
Innovation and Best Practices:
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.
Qualifications and Experience:
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.
Key Attributes for Success:
Technical Acumen:
Expertise in AI model optimization, prompt engineering, and retrieval systems.
Strong foundation in designing scalable and secure technical architectures.
Problem-Solving Skills:
Analytical mindset with the ability to address complex challenges using AI-driven solutions.
Proactive approach to identifying and mitigating potential technical risks.
Collaboration and Communication:
Exceptional communication skills to bridge the gap between technical and non-technical stakeholders.
Proven ability to lead cross-functional teams and foster collaboration.
Innovation-Driven:
Passion for exploring emerging AI technologies and applying them to real-world problems.
Continuous learner with a commitment to staying ahead of industry trends.
Execution Focus:
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.
Why Join Us:
Be a leader in driving transformative AI initiatives in a forward-thinking organization.
Collaborate with a talented team of innovators and technologists.
Access to cutting-edge AI tools and technologies.
Competitive compensation and benefits package with opportunities for professional growth.
If you are passionate about leveraging Generative AI and RAG technologies to create impactful solutions and have the skills to lead technical innovation, we encourage you to apply.
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Business Analysis------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Primary Location:
New York New York United States------------------------------------------------------
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Anticipated Posting Close Date:
Mar 18, 2025------------------------------------------------------
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