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# AI Enablement Lead / AI Adoption Champion

- **Company:** Princeton IT Services
- **Location:** St. Louis, MO, United States
- **Experience:** Expert
- **Salary:** $80,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Engineering
- **Published:** July 4, 2026
- **Apply:** https://www.careerjet.com/jobad/us851f59ac8f7eb591d17007d189956edd

## About the Role

* Senior technology professional with exposure to Software Development and Product Engineering environments.
 * Strong communication and stakeholder management skills.
 * Experience in training, coaching, or technology evangelization.
 * Good understanding of AI tools, AI ecosystems, and enterprise adoption strategies.
 * Ability to influence teams and drive organizational change.

Objective
Drive awareness and adoption of AI tools and capabilities across Business Analysis and Product Development teams, enabling employees to leverage the AI ecosystem effectively in their day-to-day work.

## Description

* Create awareness across teams on available AI tools, platforms, and capabilities.
 * Demonstrate practical use cases and day-to-day applications of AI in software development and product teams.
 * Promote best practices for AI adoption within the organization.
 * Team Engagement and Enablement

 * Connect with teams and individuals to understand their challenges and identify opportunities for AI adoption.
 * Act as a bridge between business teams and the AI ecosystem within Mastercard.
 * Provide guidance on selecting the right AI tools for specific business or technical needs.
 * Technical Advisory Role

 * Possess strong technology understanding without necessarily being hands-on with development frameworks.
 * Guide teams on leveraging AI solutions to improve productivity, quality, and delivery efficiency.
 * Provide strategic recommendations on AI usage and implementation.
 * Support Software Development and Product Teams

 * Partner closely with Software Engineering, Product Development, and Business Analysis teams.
 * Identify opportunities where AI can accelerate development, testing, documentation, and product management activities.
 * Training and Coaching

 * Function as an AI trainer, mentor, and evangelist for the organization.
 * Conduct workshops, knowledge-sharing sessions, and enablement programs.
 * Develop learning materials and adoption playbooks.
 * Technology Guidance

 * The role does not require an Architect-level resource.
 * Requires a senior professional who understands technology landscapes and can guide teams effectively.
 * Focus on enablement, adoption, and strategic guidance rather than solution architecture or hands-on implementation.


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