Lead AI/ML Architect
Indexed description
What are we looking for?
You are an engineer first. You are comfortable owning a codebase, you write tests, and you would rather automate a deployment than document it. You have seen enough ML projects reach production to have opinions about AI/ML design patterns and architecture and when to apply which.
We expect you to bring:
- Several years of hands-on AI & ML engineering experience, including at least a few models or AI services you have taken all the way to production and then operated.
- Strong Python and solid software engineering fundamentals: version control, testing, code review, packaging, CI/CD.
- Practical MLOps depth: training and inference pipelines, experiment tracking, model registries, feature reuse, deployment patterns (batch, real-time, streaming), monitoring for drift, data quality, and model degradation, plus automated retraining.
- Experience on Azure: Azure Machine Learning, Databricks, or Microsoft Fabric (Experience from AWS or GCP transfers, and we will not hold it against you.)
- Comfortable with infrastructure as code (Terraform or Bicep), containers, and Kubernetes.
- Experience productionising generative AI including RAG architectures, orchestration frameworks, prompt and model evaluation, guardrails, and agent development.
- An understanding of what governance means in practice: lineage, reproducibility, access control, GDPR, and the documentation the EU AI Act increasingly requires.
- The ability to explain a technical trade-off to a customer's business stakeholder
- Leadership shown through technical direction, mentoring, and raising the standard of the work around you.
- Fluent spoken and written Danish is a requirement
- Lead the design and build of ML and GenAI systems for our customers, from architecture through production operation.
- Own the ML platform layer: pipelines, deployment automation, model and prompt lifecycle, and the monitoring and alerting that keep it all honest.
- Set engineering standards for the team: reference architectures, reusable components, code quality etc.
- Work directly with customers: shape the technical approach, challenge requirements when they need challenging, and translate between business outcomes and system design.
- Mentor data scientists and engineers, and grow the ML engineering capability across our Danish team.
- Take part in scoping and pre-sales for AI initiatives
- Keep us current: evaluate new tooling and models with a clear eye for what actually earns a place in a production stack.
- Engage as an local ambassador and expert in our global AI/ML offerings
- You take ownership and are comfortable working in complex environments
- You are pragmatic and focus on delivering real-world value
- You enjoy working across disciplines and bridging gaps between teams
- You lift the people around you, colleagues and the customer's own engineers, and you leave a team more capable than you found it.
Diversity & Inclusion
Are you not meeting all the requirements listed? Studies have shown that women and other minority groups are less likely to apply for a job if they don't meet every qualification. We're dedicated to build a workplace of diversity and inclusion. If you are excited about this role but your previous experience does not match the job description, we encourage you to apply anyway.
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