below marketmost similar roles pay hereabove market
This role pays more than
67%
of similar roles. Most pay
$155,000–$234,062
— the blue band above.
At the midpoint, this role pays about
$213k
versus about
$195k
for comparable roles.
Based on 240 similar postings.
Employer
About HP Inc.
HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.
HP Inc. currently has
115 open roles
on FindRole.
Listed pay typically runs
$130,700–$205,200
across 95 roles with salary data.
The AI Solutions and Adoption Lead will join the Print Supplies team to transition artificial intelligence from experimentation into measurable business value. This hands-on role involves identifying practical AI opportunities, designing AI-enabled solutions like assistants and agentic workflows, and driving organizational adoption. You will interview users, map processes, review data, and test outputs to ensure quality and safety. Key responsibilities include creating requirements, training materials, and SOPs while coordinating with engineering, data, and security partners. You will utilize technologies including LLMs, RAG, APIs, and various business systems like CRM, ERP, and Slack. The role solves the challenge of integrating AI into daily operations by addressing data readiness, user trust, and process fit to move projects from pilot stages to production.
Identify and prioritize practical AI use cases by translating business pain points into measurable goals and success metrics.
Design and deploy AI-enabled solutions including assistants, workflow automations, and agentic workflows.
Create technical requirements, process maps, user stories, and acceptance criteria for AI projects.
Coordinate with engineering, data, and security teams to integrate AI solutions with existing business tools.
Test AI outputs using real business examples to ensure accuracy, safety, and reliability before rollout.
Develop training materials, SOPs, and user guides to drive widespread AI adoption across the organization.
Establish evaluation criteria and quality standards to monitor performance, costs, and business impact after launch.
Coach team members and business partners on process mapping, solution design, and AI opportunity discovery.
What we're looking for
5-10+ years of experience across AI solutions, automation, analytics, product, business systems, operations, consulting, enterprise technology, or digital transformation.
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