AI Solutions and Adoption Lead
AI summary of the role
The AI Solutions & Adoption Lead will drive AI from experimentation to business value within HP's Print Supplies division.
What you’ll do
- Identify practical AI use cases with business leaders and frontline teams, prioritizing based on value, feasibility, and risk.
- Design and deploy AI-enabled solutions including assistants, workflow automation, agentic workflows, and knowledge tools.
- Support agentic AI workflows by defining human review points and integrating with CRM, ERP, and other business systems.
- Drive AI adoption through training materials, workshops, and measuring usage and user acceptance.
What you’ll bring
- 5-10+ years of experience in AI solutions, automation, analytics, product, business systems, operations, consulting, or digital transformation.
- Hands-on experience launching AI, automation, analytics, or workflow solutions with business users.
- Experience partnering with technical teams (engineering, data, security) and creating delivery materials (requirements, user guides, test cases).
- Ability to communicate with both technical and non-technical teams.
Technologies
LLMs · RAG · agentic workflows · prompt systems · APIs · CRM · ERP · Slack · workflow automation · knowledge assistants
About Hewlett Packard (HP)
Designs and sells personal computers, printers, and related software, supplies, and services to consumers, enterprises, and SMBs worldwide.
Public · 5000+ people
Source and classification
Deployment strategy · Evidence for this classification:
AI Solutions and Adoption Lead Description - Job Summary The AI Solutions & Adoption Lead will help the Print Supplies move AI from experimentation into business value. This is a hands-on role for someone that has already worked with AI, workflow, automation, analytics, or business systems and is ready to grow into broader AI leadership. This person will partner with Print Supplies teams to identify practical AI opportunities, design AI-enabled solutions, support agentic workflows, test output quality, train users, and drive adoption. The role requires someone who can work close to the work: interviewing users, mapping processes, reviewing data, testing AI outputs, coordinating with technical teams, and helping business teams use AI in daily operations. The person will not need to arrive with every answer. He or she should bring strong hands-on experience, good judgment, curiosity,How jobs are selected
Employer postings · Data from · Sources