Staff AI Enablement Engineer

Usercentrics; København; Hybrid; DKK 900,000 - 1,200,000; Full time

Benefits offered by this job

Development budget

Language courses

Hybrid working policy

Online yoga sessions

Team events and breakfasts/lunches

Gifts for milestones

Office snacks and drinks

Job summary

Usercentrics is seeking a senior AI Enablement Engineer to own the AI enablement stack, from department AI apps to the platform layer. You will architect and ship hard AI systems, build a technical community, and set reusable patterns across the company.

You will work with the AI Enablement Lead and cross-functional partners to deliver safe, governed AI capabilities while driving adoption and technical excellence across the organization.

Qualifications

• 8+ years in software engineering and end-to-end ownership of complex systems.
• Hands-on with production AI systems (LLMs, agents, RAG).
• Strong foundation in distributed systems, backend design, and cloud.
• Mentor senior engineers and drive education across teams.
• Clear, direct communication across security, platform, and product.

Responsibilities

• Take on the hardest department AI applications and set patterns.
• Own platform layer: LLM gateway, RAG, model ops, evaluation frameworks.
• Govern internal AI marketplace for cross-department apps.
• Define engineering standards and integration patterns for AI projects.
• Lead technical education and mentor builders beyond your team.
• Collaborate with AI Enablement Lead, Security, and Platform Eng to ship safe AI.

Skills

Staff-level depth

Hands-on AI

Distributed systems

Mentoring engineers

Technical communication

Tools

Azure

GCP

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 senior technical owner of AI enablement at Usercentrics: the person who takes the hardest department AI builds, the deepest platform problems, and the technical bar the rest of the enablement track works to.

The role has two layers, and we mean both. At the department layer, you do what every AI Enablement Engineer does, prototyping and shipping AI applications for Finance, Legal, HR, Marketing, Customer Success, BI and beyond, but you take the hardest ones yourself and set the pattern the others follow. At the platform layer, you own the infrastructure that makes all of that possible: the LLM access gateway, RAG infrastructure, model operations, evaluation frameworks, and the engineering standards product teams build against.

What you would be walking into: a real internal AI platform already adopted across the company, the AI Hub, MCP servers, Claude connector delivery, a skill hub, usage analytics, and low-code automation. The next layer is largely open. A gateway, RAG infrastructure, model operations, and evaluation frameworks are the current candidates, and you would have a strong say in what gets built and in what order. Real adoption already exists, which is a rarer starting point than a blank slate.

The role asks for two things at once. You are a deeply technical engineer who can architect and build these systems hands-on, at the hardest end of the department builds and the platform layer both. And you build a technical community: you raise the bar across the Enablement Engineers and beyond through education, mentoring, and reusable patterns. If you only have one of these, this is probably not your role.

You will work alongside the AI Enablement Lead, who owns the non-technical adoption pillar (the champion network, AI literacy, and the cross-department use-case pipeline). Your focus is the engineering depth behind that pipeline, from the department app someone is using tomorrow to the platform layer that will still be standing in two years.

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 the most senior engineer on the enablement track and the technical bar would be yours to set.

Requirements

What you will do

• Take on the hardest department AI application builds yourself, and set the technical pattern the AI Enablement Engineers work to
• Own the platform layer that supports every department build: LLM access gateway, RAG infrastructure, model operations, and evaluation frameworks are the current candidates, and you help decide what they are
• Own the internal AI marketplace: keep the cross-departmental AI apps secure, maintained, and governed as the number of them grows
• Own evaluation frameworks and the guardrails that let the team move fast without shipping unreliable AI: output quality, hallucination detection, regression testing
• Set the engineering standards and integration patterns for AI that product and department teams build against
• Raise the engineering bar across the org. Run technical education and enablement for engineers, document reusable patterns, and mentor builders beyond your own team
• Partner with the AI Enablement Lead, Security, and Platform Engineering to ship AI capabilities that are safe, governed, and adopted
• Translate company-wide AI goals into concrete engineering roadmaps and measurable outcomes

What you bring

• 8+ years in software engineering, with significant time at staff level owning complex systems end to end
• Staff-level technical depth. You can own the most complex problems on the enablement track, from a department build to platform infrastructure, and lead by being the strongest engineer in the room
• Genuinely hands-on with AI. You have built and shipped production systems with LLMs, AI agents, RAG, or applied ML yourself, at both application and infrastructure layers
• A strong engineering foundation in distributed systems, backend platform design, and cloud architecture (Azure or GCP), with the judgement to set standards others follow
• A track record of mentoring senior engineers and unblocking ambiguous architecture without heavy process overhead
• A real technical-community or education background. You have taught, mentored at scale, run developer communities, written the docs, or evangelised technology to engineers beyond your own team
• Clear, direct communication, strong in async and written form. You align stakeholders across security, platform, and product without slowing the team down

Nice to have

• Experience with multi-cloud infrastructure (Azure, GCP) and modern DevOps practices
• Background in AI governance, evaluation, or responsible AI deployment
• Experience operating in a regulated or privacy-focused domain
• Recognition as a developer advocate, community leader, conference speaker, or similar (e.g. Google Developer Expert)
• Former founder or CTO experience, comfortable owning ambiguity end to end

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. They help make our team special and guide us in everything we do. They're the heart of our company and inspire us to do our best every day.

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.