AI Enablement Engineer

Requisition ID: 269927

 Salary Range:  -  

Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose

As an AI Enablement Engineer, you will act as the technical enablement and functional interface between enterprise Artificial Intelligence platforms and the organization. You will be responsible for enabling scalable adoption, effective usage, and measurable value realization of generative AI, LLM-powered services, and intelligent productivity platforms across the enterprise. 

This role is highly technical in orientation but not development focused. Your mandate is to ensure that AI platforms are understood, operationalized, and embedded into business workflows through structured enablement, technical documentation, and functional guidance. You will translate platform capabilities into practical usage patterns, ensuring teams can safely and effectively leverage AI tools as they mature. 

What You'll Do

Platform Enablement & User Onboarding 

• Design and execute technical onboarding frameworks for enterprise AI platforms, including capability overviews, access models, guardrails, and supported use patterns. 
• Produce technical enablement artifacts such as system usage guides, configuration references, operating manuals, and structured platform documentation. 
• Partner with technology, architecture, data, and business teams to integrate AI capabilities into existing workflows and operating models. 
• Analyze end-to-end workflows and identify opportunities where AI-driven automation or augmentation can improve efficiency and consistency. 
• Lead structured discovery and intake sessions to capture technical and business requirements for AI-enabled workflows. 

Capability Roadmap & Platform Strategy 

• Track and assess the evolving capabilities of enterprise AI platforms, including generative AI services, copilots, and intelligent productivity tools. 
• Translate vendor and platform roadmaps into internal capability roadmaps, clearly outlining what is available, what is coming, and how it should be used. 
• Evaluate new features for technical readiness, risk alignment, and business applicability, and communicate implications to stakeholders. 
• Act as a functional advisor to platform and engineering teams during feature rollouts and upgrades. 

Technical Training & Knowledge Enablement 

• Build and maintain best-practice repositories, including prompt engineering patterns, usage standards, workflow templates, and reference examples.