Partner Value Solutions Engineer – AI & CX Enablement

AI Chopping Block

Northern (KY)

Hybrid

USD 90,000 - 130,000

Full time

9 days ago

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Job summary

NiCE is seeking an experienced Partner Value Solution Engineer to empower its partner ecosystem in selling and delivering AI-driven NiCE solutions. You will bridge technical gaps between NiCE and partners, enabling them with AI use cases, architectures, and measurable outcomes.

You will drive sales engineering, technical enablement, and technical account management across partner engagements, focusing on AI portfolio readiness and responsible AI practices.

Qualifications

  • Experience with AI, conversational AI, virtual agents, or automation in CX/contact center environments.
  • Ability to translate business outcomes into AI use cases and success criteria.
  • Working knowledge of LLMs, generative AI, AI orchestration, integrations, and responsible AI principles; with experience supporting AI PoVs, pilots, or customer validation motions.

Responsibilities

  • Lead technical discovery engagements with partners to map requirements to NiCE CCaaS/AI capabilities.
  • Develop and deliver partner enablement programs, reference architectures, and battlecards.
  • Own end-to-end technical relationships with key partners, including architecture governance and escalation paths.
  • Scope services for partner-led deployments and provide architectural oversight on complex projects.
  • Drive partner enablement to increase revenue and win rates through AI-enabled solutions.

Skills

AI strategy
CX/CC environments
LLMs & AI orchestration

Job description

NiCE is seeking an experienced Partner Value Solution Engineer to empower its partner ecosystem in selling and delivering AI-driven NiCE solutions. You will bridge technical gaps between NiCE and partners, enabling them with AI use cases, architectures, and measurable outcomes.

You will drive sales engineering, technical enablement, and technical account management across partner engagements, focusing on AI portfolio readiness and responsible AI practices.

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