AI Enablement Engineer

Cph Ai Hub; München; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Development budget 800 EUR/year

Hybrid working policy with workcation

Online yoga sessions

Team events and cross-office交流

Job summary

Usercentrics seeks a senior AI Engineer to act as the hands-on technical arm of AI adoption. You will build governed AI applications across departments, run enablement sessions, and ensure every delivery meets governance standards before going live.

Youll work with the AI Hub and platform components, shaping the next layer of the AI infrastructure with the team. You will join a small, senior team in Munich with ongoing growth, collaborating with cross-functional partners and contributing

Qualifications

• 5+ years in software engineering with a full-stack or solutions background.
• Hands-on with AI and shipped solutions using LLM APIs (Claude, OpenAI)
• Strong communication with non-technical stakeholders to enable practical adoption
• Working knowledge of MCP servers, AI agent tooling, or integration patterns for AI in business
• Security- and governance-conscious engineering practice

Responsibilities

• Prototype, build, and hand over department AI applications with business teams
• Run technical enablement sessions for non-engineering teams
• Guide teams on tech stack choices, MCP servers, AI artefacts, and integration patterns in a business context
• Ensure every implementation meets governance standards before reaching users
• Document reusable patterns and contribute to the platform layer (AI Hub, MCP servers, Claude delivery, Skill Hub)
• Contribute to the platform7s next layer (LLM gateway, RAG, model ops)
• Partner with AI Enablement Lead to qualify requests, scope builds, and report adoption

Skills

5+ years software engineering

Hands-on AI with LLM APIs

Stakeholder communication

MCP servers & AI artifacts

Security & governance mindset

Tools

LLM APIs (Claude/OpenAI)

MCP servers

AI platform tooling

Job description

Shape the Future of Privacy

Usercentrics is a global leader in data privacy and privacy-led marketing solutions. We believe there is no need for a trade-off between growth and privacy compliance. Our vision is to unlock the potential of data privacy to empower a thriving digital ecosystem. We work with companies to create a healthy balance between data-driven business and privacy-led marketing for every size of enterprise. Our customers build trust with their users through improved transparency and control to drastically improve marketing and monetization, while achieving full privacy compliance.

About the Office of AI

The Office of AI owns the strategy, governance, infrastructure, and enablement of AI across Usercentrics. We sit within the CTO office and work across all departments.

Mission: enable the entire organisation to adopt AI safely, responsibly, and effectively.

About the role

You are the hands-on technical arm of AI adoption at Usercentrics. Finance, Legal, HR, Marketing, Customer Success, BI and every other department have real AI use cases, and your job is to turn them into governed, working software, not slide decks.

You will prototype and build department AI applications, run technical enablement sessions directly with the teams who will use them, and make sure everything you ship meets our governance standards before it goes live. You work from the use-case pipeline the AI Enablement Lead runs, and you report progress and adoption back into it.

This is not a support role bolted onto engineering. You are a full engineer, building with LLM APIs, MCP servers, and the internal AI platform, and you are expected to leave every pattern you build reusable by the next team. What you build feeds the platform layer: the AI Hub, MCP servers, Claude connector delivery, the Skill Hub. As that platform grows into its next layer, LLM access gateway, RAG infrastructure, model operations, and evaluation frameworks are the current candidates, you will contribute to that build alongside the rest of the Office of AI team, not just consume it.

On the shape of it: this is a small, senior team today, four to five people, and growing on both the engineering and enablement sides. You would be one of two engineers doing this work day to day, with a Staff AI Enablement Engineer setting the technical bar above you.

Requirements

What you will do

• Prototype, build, and hand over department AI applications, working directly with the business team that will own the outcome
• Run technical enablement sessions with non-engineering teams: walk them through what was built, how to use it, and how to ask for the next thing well
• Guide teams on tech stack choices, MCP servers, AI artefacts (Skills, Connectors, plugins), and integration patterns for AI in a business context
• Ensure every implementation you ship meets GRC standards before it reaches a business user
• Document reusable patterns and components and contribute them back into the platform layer: the AI Hub, MCP servers, Claude connector delivery, the Skill Hub
• Contribute to the platform's next layer as it gets built: LLM access gateway, RAG infrastructure, model operations, and evaluation frameworks
• Partner with the AI Enablement Lead on the use-case pipeline: help qualify requests, scope builds realistically, and report back on adoption

What you bring

• 5+ years in software engineering, with a full-stack or solutions engineering background
• Genuinely hands-on with AI. You have built and shipped things with LLM APIs (Claude, OpenAI, or similar), not just prototyped them
• Strong communication with non-technical stakeholders. You can run a session with a Legal or Finance team and leave them able to use what you built, not just impressed by it
• Working knowledge of MCP servers, AI agent tooling, or integration patterns for AI in a business context
• Security- and governance-conscious engineering practice. You do not need to be told twice that this ships to a regulated business

Nice to have

• Experience in consulting, solutions architecture, or embedded engineering
• Familiarity with the internal stack: Azure or GCP, and Usercentrics' own product platforms
• Exposure to model serving, RAG pipelines, or MLOps
• Background in AI governance or responsible AI deployment

Benefits

Why join Usercentrics?

• Joining Usercentrics means becoming part of a fast-growing, diverse and international team of tech enthusiasts and entrepreneurially-minded who build our success story
• together
• Company culture is important to us. We strive to continuously develop a positive, vibrant and inspiring environment that enables everyone to thrive both personally and professionally
• Get involved. We have plenty of initiatives and love to see people from all departments enthusiastically participating and shaping our future together in different cross-department projects
• Your work-life balance is important to us too. We offer flexible working hours, hybrid working, and the possibility of workcations (in accordance with our company policy)
• We always remember to have fun along the way, both in our day-to-day work and at our regular team events on site in our offices in Munich, Copenhagen, Odense, Lisbon and Prague, Buenos Aires and New York

Some of our benefits

• Development budget for every employee: €800 per year
• Job-related language courses (English, German, Czech, Spanish, etc.): €350 per year
• Hybrid working policy with the option to take a workcation (up to 60 days per year)
• Online yoga sessions
• Events: team buildings, happy hours, parties/get-togethers, and occasional company-covered breakfasts or lunches (in-office, across offices, online, and in person)
• Gifts: we celebrate life and work milestones at UC (work anniversaries, new baby arrivals, and similar occasions)
• Snacks, fruit, coffee, and drinks in the office

ABOUT US

We are driven by our values #BeBrave, #BetterTogether, #LeadbyExample, #InnovateWithPurpose, #PassionForPrivacy, #GiveBack and #ComeAsYouAre. They show what we believe in and how we work. We guide us in everything we do.

We strive to create a diverse, equitable, and inclusive environment (DEI) where everyone feels valued, respected, and empowered to reach their full potential. We believe that our different backgrounds, experiences, and perspectives are our greatest strengths — so we are committed to building with them as we foster innovation and drive our success.

We recognize that this is an ongoing journey. We commit to listening and to continuous learning, growth, and improvement. By embracing DEI principles, we will create a more just and equitable society, and we are proud to play our part in making this vision a reality.

We are #BetterTogether.