Join a purpose-driven team as an AI Enablement Engineer to act as the technical enablement and functional interface between enterprise Artificial Intelligence platforms and the organization. The role involves enabling scalable adoption, effective usage, and measurable value realization of generative AI, LLM-powered services, and intelligent productivity platforms across the enterprise.
Requirements
- Technical enablement and platform adoption experience
- Experience working with Azure, Databricks, and Google native services and environments
- Strong conceptual understanding of Generative AI, Large Language Models (LLMs), AI copilots, and enterprise productivity platforms
- Excellent written and verbal communication skills
- User-centric mindset with the ability to anticipate adoption challenges and design practical solutions
- Experience defining metrics, analyzing adoption data, and producing insights reports
- 4–7 years of experience in a role such as Technical Systems Analyst, Platform Enablement Lead, or Technical Product Owner
- Bachelor’s degree in Information Sciences, Computer Information Systems, or a related field
- Spanish fluency (nice to have)
Benefits
- Diversity, Equity, Inclusion & Allyship
- Accessibility and Workplace Accommodations
- Upskilling through online courses, cross-functional development opportunities, and tuition assistance
- Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits
- Dynamic Ecosystem
- Community Engagement