Hybrid AI Sales Enablement Architect

Hewlett Packard Enterprise

Houston (TX)

Hybrid

USD 140,000 - 200,000

Full time

14 days+
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Job summary

Hewlett Packard Enterprise in Houston is seeking a Sales Enablement AI Architect. You will design AI-powered enablement experiences for sellers, partners, and the enablement team, spanning strategy, platform architecture, content intelligence, and analytics.

The role blends AI governance with measurable business outcomes, advancing ramp time and revenue execution. You will partner across a matrixed ecosystem to drive adoption, governance, and scalable AI patterns across Seismic, Highspot,

Qualifications

  • 5+ years in solution architecture or related go-to-market roles.
  • Hands-on AI workflow design and generative AI experience.
  • Familiar with prompt engineering and retrieval-augmented generation.
  • Experience with enablement platforms and sales tooling ecosystems.
  • Ability to translate needs into practical AI use cases and roadmaps.

Responsibilities

  • Define AI-enabled seller experiences and guided learning paths.
  • Design agentic AI and retrieval-augmented generation solutions.
  • Evaluate and integrate AI across CRM, LMS, and enablement tools.
  • Develop governance for AI content, approvals, and branding.
  • Lead workshops and executive reviews on AI capabilities and ROI.

Skills

Solution architecture
AI strategy
Sales enablement
Generative AI
Platform integration
Leadership

Tools

Seismic
Highspot
Mindtickle
Salesforce
Microsoft 365
Teams
LMS platforms
Content management systems
CRM
Conversation intelligence tools

Job description

Hewlett Packard Enterprise in Houston is seeking a Sales Enablement AI Architect. You will design AI-powered enablement experiences for sellers, partners, and the enablement team, spanning strategy, platform architecture, content intelligence, and analytics.

The role blends AI governance with measurable business outcomes, advancing ramp time and revenue execution. You will partner across a matrixed ecosystem to drive adoption, governance, and scalable AI patterns across Seismic, Highspot,

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