AI Enablement Lead / AI Adoption Champion

Princeton IT Services, Inc; St. Louis (MO); On-site; USD 100,000 - 130,000; Full time

Job summary

Princeton IT Services, Inc is seeking an AI Enablement Lead in St. Louis, MO. This role will drive awareness and adoption of AI tools across Business Analysis and Product Development teams while providing technical advice and team support.

The ideal candidate should have a strong background in software development, significant experience in training, and the ability to influence teams towards adopting AI solutions. The role emphasizes engagement, enablement, and strategic guidance without hands-on implementation.

Qualifications

• Senior technology professional with exposure to Software Development and Product Engineering environments.
• Strong communication and stakeholder management skills.
• Experience in training and technology evangelization.

Responsibilities

• Drive awareness and adoption of AI tools across teams.
• Provide guidance on selecting the right AI tools for business needs.
• Conduct workshops and enablement programs for AI adoption.

Skills

Software Development

Stakeholder Management

AI Tools Understanding

Training and Coaching

Organizational Change Influence

Job description

Title

AI Enablement Lead / AI Adoption Champion

Location

St. Louis (MO) – 5 days onsite

Ideal Candidate Profile

• 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.

Key Responsibilities

• Drive AI Awareness
  • 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.
  • 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.