Cognite
Industrial · Industrial DataOps
Industrial · Industrial DataOps
Cognite currently has 24 active job listings related to artificial intelligence. The majority of these roles are focused on the application stage, accounting for 33% of the openings, followed closely by agents at 29% and data at 25%. Engineering is the primary function for these hires, with a significant concentration of roles in India, followed by Norway. The company is actively seeking candidates with experience in agent orchestration, retrieval-augmented generation (RAG), and LLM observability. Over the last 30 days, Cognite has significantly increased its AI hiring, with 25 new roles posted, representing a 213% increase compared to the previous 30-day period.
Currently tracking 11 active AI roles, down 15% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Cognite currently has 20 active AI-related roles in our index. The most common open titles are: Data Engineering Leader (3), Senior Solution Architect (3), Enterprise Architect (2), India Template (2), Principal Field Engineer (2). Most positions are in Engineering and Product.
Cognite's active AI hiring is concentrated in: application (40%), agents (25%), data (25%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cognite is hiring AI talent in: India (7 roles), Norway (5 roles), United States (2 roles), Germany (2 roles).
Job postings at Cognite most frequently mention: Software Engineering, Mechatronics, Data Pipelines, CI/CD, Algorithms & Data Structures.
In the past 30 days, Cognite has posted 13 new AI-related roles. That is a -38% change versus the prior 30 days (21 → 13).
| Title | Stage | AI score |
|---|---|---|
| Data Engineering Leader Lead and develop a team of Data Engineers focused on industrial AI engagements, with a 50% billable capacity requirement. This role involves technical coaching, delivery accountability, and contributing to the Value Delivery leadership team, emphasizing AI-first delivery practices. | Data | 7 |
| Data Engineering Leader Manager of Data Engineering leading a team focused on industrial AI engagements, with a 50% billable capacity requirement. The role involves people development, technical coaching, delivery accountability, and contributing to standardizing delivery practices, emphasizing AI-first principles. | Data | 7 |
| Data Engineering Manager Manager of Data Engineering to lead, develop, and retain a team of Data Engineers working on complex industrial AI engagements. The role requires approximately 50% billable capacity on customer projects, focusing on people development, delivery accountability, and AI-first leadership within the industrial digitalization domain. |
| Data |
| 7 |
| Data Engineering Leader Lead and develop a team of Data Engineers focused on industrial AI engagements, with a 50% billable capacity commitment. This role requires strong technical data engineering skills, people development, and customer-facing confidence, with an emphasis on AI-first delivery practices within Cognite's platform. | Data | 7 |