TL;DR
Senior AI Adoption Consultant (AI Engineering): Designing and maintaining standards for AI readiness, adoption, and sustained usage across enterprise contact center environments with an accent on operational understanding and system-level thinking. Focus on building enablement structures that are used repeatedly, ensuring consistency, quality, and measurable outcomes at scale.
Location: Remote (US-Based)
Company
hirify.global software products are used by 25,000+ global businesses to deliver extraordinary customer experiences, fight financial crime and ensure public safety.
What you will do
- Define and maintain standards for AI readiness, adoption, stabilization, and sustained usage.
- Build reusable enablement assets including playbooks, validation checklists, supervisor guides, prompt standards, and reinforcement tools.
- Embed enablement into AI delivery and partner with delivery and training teams to ensure its execution.
- Drive consistency across teams and partners by establishing internal and partner enablement standards.
- Analyze adoption, usage, and enablement signals to identify systemic gaps and translate insights into actionable recommendations.
Requirements
- 6+ years of experience in AI adoption, enablement, CX transformation, or enterprise consulting.
- Strong understanding of contact center operations and AI-driven self-service environments.
- Demonstrated experience designing scalable enablement frameworks, playbooks, or standards.
- Practical familiarity with generative AI behavior, prompt design, and adoption challenges.
- Experience embedding enablement into delivery motions rather than running standalone change programs.
- Ability to influence cross-functional teams without formal authority.
Culture & Benefits
- Ownership of enablement and adoption standards used globally.
- Direct influence on how AI is implemented and sustained at scale.
- High visibility across product, delivery, and AI leadership.
- Work focused on building durable systems, not one-off engagements.
- Strong path to principal-level consulting or broader AI leadership roles.
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