Senior AI Enablement Engineer

Usercentrics

København

Hybrid

DKK 900,000 - 1,500,000

Full time

13 days ago
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Benefits offered by this job

Hybrid working policy
Workcations
Development budget
Language courses
Online yoga
Team events
Gifts and celebrations
Snacks and drinks

Job summary

Usercentrics seeks a hands-on Staff AI Enablement Engineer to advance AI adoption across departments using the internal AI platform and external LLM APIs. You will turn business use cases into governed, working software and build reusable patterns for the platform.

You’ll lead enablement sessions with Finance, Legal, HR, Marketing and others, ensuring practical adoption and scalable design. This role blends engineering rigor with governance across our global offices.

Qualifications

  • 5+ years in software engineering with a full-stack or solutions engineering background.
  • Hands-on with AI; built and shipped things with LLM APIs.
  • Strong communication with non-technical stakeholders and ability to run sessions for diverse teams.
  • Knowledge of MCP servers, AI artefacts, and integration patterns in business contexts.
  • Security- and governance-conscious engineering practices.

Responsibilities

  • Prototype and deliver department AI applications, working directly with the business teams.
  • Lead technical enablement sessions for non-engineering teams and demonstrate practical use of what was built.
  • Guide teams on tech stack choices, MCP servers, AI artefacts and integration patterns for a business context.
  • Document reusable patterns and contribute them back to the platform layer: AI Hub, MCP servers, Claude delivery, Skill Hub.
  • Contribute to the platform’s next layer: LLM access gateway, RAG infra, model ops, evaluation frameworks.

Skills

Full-stack engineering
AI prototyping
LLM APIs
Stakeholder communication
Security & governance

Tools

Azure/GCP
Claude/OpenAI integration

Job description

Usercentrics seeks a hands-on Staff AI Enablement Engineer to advance AI adoption across departments using the internal AI platform and external LLM APIs. You will turn business use cases into governed, working software and build reusable patterns for the platform.

You’ll lead enablement sessions with Finance, Legal, HR, Marketing and others, ensuring practical adoption and scalable design. This role blends engineering rigor with governance across our global offices.

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