Senior Manager & Lead Architect, AI Engineering

Who we’re looking for

• Experienced technical leader with proven ability to design and deliver AI/ML solutions at scale.
• Strong background in enterprise architecture, cloud platforms (Azure), and MLOps (e.g., Databricks, Data/AI services).
• Practical MLOps skills (e.g., MLflow, Git, Azure DevOps, CI/CD).
• Proficiency in Python and frameworks
• Strong communicator and facilitator who can align across technical and non‑technical stakeholders.
• Structured, analytical, collaborative and results‑oriented, with high attention to detail.
• Exposure edge computing and industrial automation.

What you’ll do

• Oversee AI Engineering capacity, planning, and delivery across initiatives.
• Define AI architecture and integrations with MES, PLM, ERP, and OT platforms.
• Ensure compliance with EU AI Act, GDPR, and NIS2, including risk assessments.
• Implement MLOps (e.g., MLflow, CI/CD) for model lifecycle and monitoring.
• Oversee the lifecycle of AI systems from development to deployment, monitoring and decommissioning.
• Lead solution architecture, requirements, and design reviews for all AI initiatives across NKT.
• Collaborate with business lines, IT, engineering and data teams to ensure alignment with NKT’s digital strategy and to translate business needs into scalable AI solutions.
• Guide solution design for computer vision and similar technologies and IT/OT data pipelines.
• Champion responsible AI, safeguard IP, and maintain high engineering and documentation standards.

About the position

Do you want to shape NKT’s AI architecture, lead a high performing engineering team, and drive responsible, scalable AI across manufacturing and enterprise systems? We are looking for a senior leader who can set the technical direction for AI, ensure compliance with key regulations, and deliver impactful AI solutions that improve product quality, operational efficiency, and sustainability. In this combined architecture + people leadership role, you will guide the AI Engineering team, design end-to-end AI solutions, integrate with factory systems, and drive full lifecycle operations through MLOps. You will collaborate across business lines, Data & AI teams, and technology partners to turn business needs into robust, responsible AI at scale.

Benefits

• You will join a collaborative international team with opportunities for professional development, knowledge sharing, and cross-functional learning.
• Expect access to modern tooling, the chance to shape AI engineering standards, and involvement in impactful use cases that improve product quality, efficiency, and safety.
• This role offers visibility across NKT’s global operations and the space to grow your skills in architecture, governance, and responsible AI.