Cognite
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.
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 |
|---|---|---|
| Principal Solution Architect, AI Co-innovation This role is for a Principal Solution Architect focused on co-innovating and scaling AI solutions within industrial digitalization. The primary responsibility is to ensure the architectural integrity and strategic success of AI deployments, particularly Cognite AI Agents and custom front-end applications. The role involves designing complex industrial data models, architecting multi-agent systems with LLMs and tool use, and collaborating with customers to integrate solutions into production. The goal is to establish repeatable patterns for enterprise-scale AI impact and feed customer feedback into the product roadmap. | Agent | 8 |
| India Template This role is for a Principal Information Security Engineer in Bengaluru, India, focused on building and leading a security engineering team. A core responsibility is the aggressive implementation and orchestration of AI to automate and optimize SecOps detection pipelines and Product Security guardrails. The role involves designing AI-driven SecOps with agents for detection and response, and AI-accelerated Product Security with automated scanning and remediation guidance. It also includes threat modeling, hardening cloud environments, and technical leadership for team building and regional security initiatives. |
| AgentServe |
| 8 |
| Senior AI Engineer - Supply Chain Senior AI Engineer focused on building and enhancing packaged, customer-ready agentic workflows for supply chain automation. The role involves developing multi-agent systems that leverage tool-use, memory, and reasoning to interact with a knowledge graph, automate complex decisions, and provide operational insights and recommendations. Requires strong full-stack engineering skills, experience with LLM-driven agent frameworks, and understanding of industrial and supply chain data. | Agent | 8 |
| Principal Field Engineer Principal Field Engineer role focused on client engagement, designing and implementing industrial AI agents using Cognite Atlas AI and Cognite Data Fusion. The role involves translating strategy to reality through fast AI prototyping, leading use case workshops, and bridging the gap between field learnings and product innovation. Requires strong engineering background, Python, and understanding of GenAI landscape (embeddings, RAG, prompt chaining). | Agent | 8 |
| Senior Software Engineer - ( Context Services ) Senior Software Engineer to lead production systems for Context Services, bridging Applied Scientists/AI Engineers and Platform Engineering. Focus on turning analytical solutions (ML/DL models, LLM agents) into reliable, production-grade software services. Key responsibilities include designing scalable APIs, architecting frameworks for model serving, vector databases, and agentic workflows, and integrating with central platform teams. | AgentServe | 7 |