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AI Lead: Lead the AI transformation and future of care technology

sensiono
Companysensiono
CategoryData & Analytics
Location
Remote
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted15 Jun 2026
Last verified11 Aug 2026
SourceEmployer ATS (teamtailor)
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Description
Technology is changing what good Care can look like. Sensio is building the next generation of AI for care environments. We are looking for an AI Lead to define the technical direction, as well as to build and lead our new AI team. Used well, technology can help care professionals identify risks earlier, respond faster and provide care that is better adapted to each individual. It can improve collaboration between colleagues, create greater continuity in everyday work and give care teams more time to focus on the people who need them. Sensio is a leading European care technology company. Through our software platform Sensio 365, our nurse call solution, and our ‘hero-product’ the RoomMate AI multisensor, we help care providers deliver safer, more personalized and more efficient care. RoomMate is developed and manufactured in Norway, and it is probably the most widely deployed sensor of its kind across elderly care anywhere in the world. With the backing of Nordic Capital, a leading European healthcare and healthtech investor, we are investing actively in product development and expanding the impact of our technology across international markets. We’re looking for an AI Lead This is a key role in shaping the future for Sensio. You will build our in-house AI team, and work actively across the company to shape our direction and ensure we execute well. You will lead the AI transformation across the full pipeline: from data collection and processing, to model development, MLOps, performance tracking and delivery to the teams implementing AI on embedded hardware. The AI team will operate in an embedded model, with your AI-specialists assigned to the relevant product teams based on the AI roadmap and current priorities. As AI Lead, you will set the shared technical direction and work closely with the different Dev Leads to align AI development with each product’s architecture, roadmap and delivery. That is where your job comes in. As an AI lead you will scale Sensios work on AI across edge and server. A key part of the work is embedded AI on the RoomMate device : making models work locally, on sensors and devices with real hardware constraints. It is a unique challenge to make AI work reliably on a device on the wall, with limited memory, different hardware capabilities, privacy requirements and real-time use cases. This is a role with Technical responsibility for the development, deployment, and continuous improvement of Sensio’s AI and machine learning solutions, both on embedded hardware and in server-based services. This is a hands-on technical leadership role with formal people responsibility. You will set technical direction, make architecture and prioritisation decisions, develop the team and remain sufficiently close to the technology to challenge designs, review evidence and guide difficult technical trade-offs. Your role will be to scale our foundation, set direction, build capability and make sure Sensio’s AI work becomes scalable, responsible and useful in real care environments – and deeply integrated across our total offering. While customer-facing AI products will remain the clear priority, you will also work with Internal IT, infrastructure and HR leadership to accelerate the adoption of AI across Sensio. This includes helping redesign processes, tools and ways of working to enable a broader transformation of the company’s operating model. Your day-to-day You will lead Sensio’s AI transformation and take responsibility for direction, quality and progress across AI initiatives. You’ll report directly to Sensio’s CPTO, and collaborate closely with Dev Leads and enterprise IT. Your daily work will include: Leading and developing a team working across ML, AI transition and software/hardware implementation Setting technical direction for AI across data, model development, MLOps, validation, deployment and performance tracking D