Principal AI Enablement Engineer
Indexed description
This will become a key function within our organization.
Your mission is to establish a sovereign AI setup, whether that means building from scratch, adapting an open-source solution, or working with a certified provider capable enough to replace cloud-based frontier models for the organization's core needs
You will be part of a designated AI Enablement function and work closely with the CTO, Head of IT, and the internal DevEx and Tooling team.
What You Will Do
- Identify and drive bold initiatives for how to leverage AI across the organization
- Drive the technical implementation in line with our defense-context compliance and sovereignty requirements, including securing, operating, and documenting the solution.
- Build and operate the internal AI stack that other teams can build tools and run services on top of
- Lead hands-on implementation across the stack
- Conduct internal training and help teams across the company use AI effectively in their day-to-day work
- Stay current on new developments in AI and bring the most relevant ideas in-house
We believe the right candidate brings
- 8+ years of experience with a software engineering background, including at least 4 years with direct relevance to AI enablement, MLOps, or applied AI
- A track record of leading a meaningful AI transformation, either within a product organization or as the founding AI enablement function
- Strong and current knowledge of the AI tooling landscape and LLM ecosystem
- Solid engineering defaults: you write code, you design systems properly, and you care about correctness
- Experience designing scalable AI platforms, with architecture decisions that balance current needs, future growth, security, maintainability, access control and logging/auditability.
- Strong communication skills. You can explain complex technical decisions and arguments in a clear and structured way, to stakeholders who don’t have the same domain expertise
- Ability and interest in staying current on AI developments and forms clear opinions on what is worth using and what isn't
- Fluent in English (Norwegian not required)
- A Master's degree or equivalent practical experience in a relevant field
- Experience with sovereign AI setups or on-prem LLM infrastructure
- Experience with self-hosted compute stacks and GPU infrastructure
- Prior experience running internal AI training or workshops as part of a broader rollout
- Work on problems that matter
- Lead the shift in a hardware-dominated space
- Build from zero, shape the future
- Work with purpose, supported by great benefits You'll be part of a mission-driven team that values clarity, integrity, and collaboration, offering competitive pay, equity potential, strong insurance and pension plans, and ongoing learning opportunities.
- Screening interview with one of our recruiters to get to know you better (30 min
- Meet & Greet with someone from the team to learn more about us (60 min).
- Technical home assignment, ability and personality tests, and a technical interview focused on the specifics of the role (90 min)
- Final interview with our CTO and Head of People (45 min)
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