Cognite
Industrial · Industrial DataOps
Currently tracking 11 active AI roles, down 15% versus the prior 4 weeks. Primary focus: Agent · Engineering.
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.
Industrial · Industrial DataOps
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 |
| Fullstack Software Engineer Fullstack Software Engineer role focused on implementing scalable solutions for industrial digitalization using AI-native development workflows. The role bridges Data Engineers, Data Science, and end-users, translating business needs into high-performance applications. Requires strong TypeScript/JavaScript, React, and Python skills, with experience in AI/ML products or integrating Generative AI being a plus. |
| — |
| 5 |
| Data Engineer Data Engineer role focused on building and implementing scalable data engineering solutions for industrial digitalization using Cognite's platform. Responsibilities include data pipeline design, integration, modeling, and collaboration with data scientists and architects to enable AI-driven operational improvements. | Data | 5 |
| Enterprise Architect Enterprise Architect role focused on customer-facing industrial digitalization and AI solutions, involving architecture design, integration, data pipelines, and hands-on Python development. The role bridges customer needs with product offerings and ensures successful implementation of Cognite's AI and data platform. | Ship | 5 |
| Director, Solution Architecture & Enterprise Architecture This role is for a Director of Solution Architecture & Enterprise Architecture in the industrial digitalization space, focusing on building and scaling AI and data solutions for customers. The primary responsibility is to lead and elevate the Solution Architecture capability, ensuring consistency, scalability, and alignment with delivery standards across the region. The role involves customer-facing advisory, team leadership, and driving technical excellence to accelerate value realization and reduce delivery risks. While the company builds AI solutions, this specific role focuses on the architecture and delivery of those solutions to customers, rather than direct AI/ML model development. | — | 5 |
| Enterprise / Principal Field Engineer This role is for an Enterprise Field Engineer focused on the technical relationship with clients, scaling AI and data solutions in the industrial sector. Responsibilities include validating technology fit, architecting new use cases, supporting deployment, enabling partners, and providing feedback to product teams. The role requires strong client-facing skills, Python expertise, and understanding of industrial data and cloud platforms. | — | 2 |