AI Adoption Lead – Perplexity (IT & Business Enablement)

Job Title: AI Adoption Lead Perplexity (IT & Business Enablement)

Location: Flexible (Onsite / Hybrid).

Experience: 5 8 years.

Work location- US - Dallas TX is preferred. ( Hybrid role )

someone from Dallas would be great

So an AI engineer role requiring Perplexity usage. Its not a development role the main focus is training end users on how to use it in their day-to-day roles and configuring it for the client model is what they need.

Role Overview

We are looking for an AI Adoption Lead to drive the rollout and operationalization of Perplexity across IT and business functions. This role will act as the bridge between technology and business teams identifying high-impact use cases enabling adoption and embedding AI-driven workflows into day-to-day operations.

Key Responsibilities

Lead end-to-end adoption of Perplexity across IT and business units

Identify define and prioritize practical use cases aligned to business outcomes

Work closely with IT teams to integrate Perplexity into existing tools and workflows

Engage with business stakeholders to drive awareness training and usage

Develop playbooks best practices and usage guidelines

Track adoption metrics usage patterns and value realization

Act as the central point of contact for all Perplexity-related initiatives

Provide continuous feedback to improve implementation and scale adoption

Required Skills & Experience

5 8 years of experience in digital transformation AI enablement or technology consulting

Strong understanding of AI tools (e.g. Perplexity ChatGPT copilots) and their enterprise applications

Experience working with cross-functional teams (IT Business stakeholders)

Ability to translate business needs into practical AI use cases

Familiarity with workflow tools APIs and enterprise systems is a plus

Strong communication and stakeholder management skills

Preferred Qualifications

Experience in driving adoption of AI/automation tools in enterprise environments

Background in pre-sales consulting or solution architecture

Exposure to prompt engineering knowledge management or AI governance frameworks

Success Metrics

Adoption rate across teams

Number of active use cases implemented

Measurable productivity improvements / efficiency gains

Stakeholder satisfaction and engagement levels