hpe
Sales Enablement AI Architech
At a Glance
- Location
- Durham, North Carolina, United States
- Employment
- Full time
- Experience
- 5+ years
- Posted
- 2026-08-14
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
- Legal
- Marketing
- Regulatory
Requirements
5+ years of experience in solution architecture, AI strategy, AI execution, sales enablement, revenue enablement, sales operations, product marketing, learning technology, or a related go-to-market transformation role.
Hands-on experience designing or implementing AI-powered workflows, generative AI use cases, intelligent assistants, automation, or data-driven enablement solutions.
Familiarity with generative AI concepts, including prompt engineering, retrieval-augmented generation, AI agents, workflow orchestration, model evaluation, responsible AI, and human-in-the-loop review.
Understanding of sales enablement disciplines, including onboarding, everboarding, sales methodology, coaching, content strategy, playbooks, partner enablement, field readiness, and seller productivity.
Experience working with enablement and go-to-market platforms such as Seismic, Highspot, Mindtickle, Salesforce, Microsoft 365, Teams, LMS platforms, content management systems, or conversation intelligence tools.
Ability to translate seller, leader, and stakeholder needs into practical AI use cases, business requirements, solution designs, adoption plans, and measurable success criteria.
Responsibilities
As a Sales Enablement AI Architect, you will design and scale AI-powered enablement experiences that help sellers, sales engineers, partners, and the enablement team learn faster, sell smarter, and execute with greater consistency.
This role sits at the intersection of sales enablement strategy, generative AI, platform architecture, content intelligence, coaching, analytics, and change management.
The Sales Enablement AI Architect will partner across a matrixed environment to move from experimentation to secure, measurable, scalable AI adoption that improves ramp time, seller productivity, content effectiveness, and revenue execution.
Provide strategic direction for AI-powered sales enablement, including generative AI, agentic workflows, content intelligence, coaching automation, and responsible AI adoption across go-to-market teams.
Define the architecture for AI-enabled seller experiences, including intelligent content discovery, guided selling, role-based learning paths, sales playbooks, coaching agents, and workflow automation.
Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation, and trusted content discovery.