• Create pragmatic decision records and reference architectures that make standards easy for teams to adopt.

Technical leadership and collaboration

• Partner with Product Managers, Application Architects, Infrastructure Architects and Engineering teams to align platform investments with business priorities.

• Provide hands-on technical guidance for data platforms, messaging, search, graph technologies, workflow engines, APIs and high-performance data access.

• Mentor engineers and architects in data engineering, knowledge engineering and platform architecture practices.

• Support cross-product initiatives that depend on shared data infrastructure, semantic models and enterprise knowledge capabilities.

What success looks like

• An agreed target architecture and transition roadmap for Falkor’s shared data and platform foundations.

• Clear, adopted standards for data, metadata, ontology, search, knowledge graphs, workflow and integration services.

• Reduced architectural fragmentation and stronger interoperability across products and platform capabilities.

• Governed, scalable foundations that enable trustworthy AI-assisted and decision-support experiences.

• Improved technical alignment between product, engineering, architecture and infrastructure stakeholders.

What we are looking for

Essential experience

• Significant experience in software engineering, data platforms or distributed systems, including senior architecture or platform leadership responsibilities.

• Proven ability to design and evolve enterprise-grade, multi-tenant or SaaS platform architectures.

• Strong knowledge of distributed, event-driven and API-based systems, including data pipelines, messaging, storage and integration patterns.

• Experience with enterprise data architecture and at least one of the following areas: knowledge graphs and ontologies, enterprise search, semantic platforms or workflow orchestration.

• Strong understanding of governance, security, lifecycle management, observability, scalability, reliability and access control.

• Ability to communicate complex architectural choices clearly and influence decisions across product and engineering teams.

Preferred experience

• Enterprise ontology, taxonomy, semantic modelling, metadata management or knowledge graph implementation.

• Keyword, semantic, hybrid or vector-based enterprise search and retrieval architectures.

• Retrieval-Augmented Generation, vector databases, AI agents or knowledge-retrieval architectures.

• Workflow and orchestration platforms, event-streaming technologies and graph databases.

• Digital twins, industrial information models, operational technology data or Industrial AI platforms.

• Modern web and service architectures, including TypeScript or Node.js environments.

Technology landscape

You do not need expertise in every technology. Relevant experience may include relational and document databases, time-series systems, event streaming and messaging, graph databases, enterprise search, vector stores, workflow engines, REST or GraphQL APIs, and cloud-native platform services. We value sound architectural judgement and the ability to select appropriate technologies for the problem.

Why join Falkor?

• Work on meaningful challenges with real-world impact in complex industries.

• Help shape a platform that connects industrial data, context and workflows at enterprise scale.

• Collaborate with specialists across product, engineering, operations and industrial domains.

• Influence architectural direction while remaining close to practical engineering decisions.

• Grow with a global technology business backed by KONGSBERG’s industrial heritage.

We believe diverse perspectives make us stronger and are committed to creating an environment where everyone feels respected, included and able to do their best work.

Ready to apply?

If you are excited by the challenge of creating trusted data, knowledge and platform foundations for industrial intelligence, we would like to hear from you. Apply with your CV or résumé.