Sales Enablement AI Architect

Sales Enablement AI Architect

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Job Description:

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.

Key Responsibilities:

• 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.
• Evaluate, design, and integrate AI solutions across the sales technology stack, including enablement platforms, CRM, learning systems, content management systems, conversation intelligence tools, and collaboration platforms.
• Develop governance models for AI-generated enablement content, including source attribution, approval workflows, lifecycle management, brand consistency, compliance, and responsible AI controls.
• Create AI adoption strategies, pilots, and roadmaps that prioritize measurable outcomes such as ramp time, seller productivity, content usage, learning completion, pipeline velocity, and stakeholder satisfaction.
• Define evaluation frameworks and feedback loops to measure answer quality, content accuracy, seller adoption, workflow completion, time saved, coaching effectiveness, and business impact.
• Lead workshops, discovery sessions, architecture reviews, and executive presentations that explain AI capabilities, tradeoffs, risks, and adoption plans to technical and non-technical audiences.
• Build prototypes, proofs of concept, and scalable implementation patterns for AI agents, prompt libraries, knowledge retrieval, workflow orchestration, and enablement analytics.
• Collaborate with platform owners and administrators to improve the seller experience across systems such as Seismic, Highspot, Intellum, LMS platforms, CRM, Microsoft 365, and other enablement or productivity tools.
• Mentor enablement, operations, and platform teams on AI literacy, prompt design, use-case prioritization, experimentation practices, and responsible adoption.

Required Qualifications:

• 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, ever boarding, 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.
• Experience building governance models for enablement content, including accuracy, version control, approval processes, permissions, branding, localization, compliance, and lifecycle management.
• Strong analytical mindset with the ability to define and track metrics such as ramp time, content engagement, learning completion, seller adoption, productivity gains, pipeline impact, win-rate influence, and program ROI.
• Strong facilitation and communication skills, with the ability to lead workshops, influence senior stakeholders, explain technical concepts clearly, and align cross-functional teams around a shared roadmap.
• Ability to partner effectively with Sales, Sales Engineering, Product Marketing, Revenue Operations, Channel, IT, Security, Data, Legal, and AI…