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 12 new AI-related roles. That is a -40% change versus the prior 30 days (20 → 12).
| Title | Stage | AI score |
|---|---|---|
| Applied AI Engineer (Fullstack), AI Co-Innovation The role involves designing and building complex AI-powered solutions, including agentic systems and user-facing applications, for industrial digitalization. The engineer will own deployments end-to-end, working with LLMs, embeddings, prompt engineering, and full-stack development (React, TypeScript, Python, Kotlin). Experience with agent-based systems and customer-facing work is required. | Agent | 8 |
| Manager, Data Science Manager for Data Science team in industrial digitalization, focusing on building and scaling AI agents and analytical solutions. Responsible for team leadership, technical quality, delivery excellence, and professional development within the region. | AgentPost-train |
| 7 |
| Manager, Data Science Manager for Data Science team in industrial digitalization, focusing on building and scaling AI agents and analytical solutions. Responsible for team leadership, technical quality, delivery excellence, and professional development within the region. | AgentPost-train | 7 |
| Manager, Data Science Manager for Data Science team in industrial digitalization, focusing on building and scaling AI agents and analytical solutions. Responsible for team leadership, technical quality, delivery excellence, and professional development within the region. | AgentPost-train | 7 |
| Manager, Data Science Manager for Data Science team in industrial digitalization, focusing on building and scaling AI agents and analytical solutions. Responsible for team leadership, technical quality, delivery excellence, and professional development within the region. | AgentPost-train | 7 |