AI Enablement Engineer

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Requisition : 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.

• 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.

• Build and maintain best-practice repositories, including prompt engineering patterns, usage standards, workflow templates, and reference examples.
• Establish and manage a distributed AI Champions network to support advanced usage, experimentation, and peer enablement.
• Support platform delivery teams by ensuring users are technically prepared to adopt new capabilities through guided usage and structured learning paths.
• Enable smooth transition from platform implementation to steady-state usage through targeted enablement and adoption support.

• Serve as the primary functional and enablement point of contact for AI platform usage questions, workflow troubleshooting, and best-practice guidance.
• Triage functional issues, usability gaps, and platform defects, escalating appropriately to engineering, architecture, or IT teams.
• Collect, synthesize, and prioritize user feedback to inform future platform enhancements, roadmap decisions, and enablement strategies.
• Perform functional validation and user acceptance testing to ensure AI solutions meet business and usability requirements.
• Continuously refine enablement materials and workflows based on real-world usage and post-rollout feedback.
• Define and monitor AI adoption and usage metrics, including activation, engagement, satisfaction, and feature utilization.
• Measure productivity impact, efficiency gains, and value realization through surveys, interviews, and usage data.
• Document and communicate internal success stories, proven…