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 |
| Senior Field Engineer (Pre-Sales/Forward Deployed Engineer) Senior Field Engineer role focused on partnering with clients to implement industrial digitalization solutions, leveraging AI agents and Cognite's platform. The role involves client engagement, agentic solution development, technical representation, and acting as a bridge between field learnings and product innovation. Requires hands-on experience in the industrial vertical, with GenAI landscape understanding, Python proficiency, and full-stack solution engineering capabilities. | Agent | 8 |
| Applied AI Engineer Applied AI Engineer role focused on designing and building AI-powered solutions, including agentic systems and user-facing applications, for industrial digitalization. The role involves end-to-end ownership of deployments, integration with existing systems, and collaboration with customers and product teams. | Agent | 8 |
| Principal ML Engineer Principal ML Engineer to design, build, and deploy scalable ML systems for industrial digitalization, focusing on transforming unstructured data into actionable intelligence using Deep Learning, Generative AI, and Computer Vision. The role involves engineering production-grade code, optimizing inference, and integrating AI into existing systems, with a focus on scaling and real-time applications. | ServeAgent | 8 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer role focused on building and deploying AI/ML models for industrial digitalization. The role involves designing, training, testing, and deploying models for document parsing, layout analysis, and entity matching, with a strong emphasis on production-grade code, robust APIs, and scalable infrastructure. Responsibilities include building ML models as software components, implementing CI/CD pipelines, optimizing inference, and monitoring deployed models. Experience with NLP, Vision-Language Models, MLOps, and cloud platforms is required. | AgentServe | 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 |
| 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 |
| Senior AI Platform Engineer, Atlas AI Seeking a Senior AI Platform Engineer to build and operate a multi-cloud platform for industrial AI agents. Responsibilities include designing Python SDKs, building the agentic runtime, developing a tool-use framework, managing LLM serving, and implementing evaluation/observability. Requires strong Python, Kubernetes, and LLM orchestration experience. | AgentServe | 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 |
| 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 |
| India Template Senior 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. Design architectures for low-latency APIs, collaborate on industrial data problems, architect frameworks for model serving, vector databases, and agentic workflows, and act as a liaison with the central Platform team. | AgentServe | 7 |
| India Template Software Engineer to join the Context Services team, focusing on transitioning AI/ML models and LLM agents from experimentation to scalable production. Responsibilities include developing low-latency APIs, building automated pipelines for deployment and monitoring, and ensuring system health for industrial AI solutions. | ServeAgent | 7 |
| Machine Learning Engineer Machine Learning Engineer role focused on building and deploying AI models and pipelines for industrial digitalization. The role involves data processing, fine-tuning foundational models (NLP, Vision-Language), creating APIs for ML capabilities, and ensuring production-grade code quality and system design. | ServePost-train | 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 Scientist Manager Manager for a Data Science team in Europe, focusing on industrial digitalization and AI solutions. The role involves leading, coaching, and developing the team, providing technical leadership in ML and GenAI, driving customer project delivery, and ensuring best practices in model development and deployment. Experience in industrial sectors and MLOps is highly desirable. | ShipPost-train | 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 |
| Senior Data Scientist Senior Data Scientist at Cognite, focusing on industrial digitalization and AI solutions. The role involves developing and deploying scalable ML models and GenAI techniques for customer use cases in Oil & Gas, Manufacturing, and Power & Utilities. Responsibilities include data cleansing, EDA, model implementation, client engagement, and mentoring junior team members. The role operates within a cross-functional team and contributes to the company's moonshot goal of unlocking significant customer value through AI. | ShipAgent | 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 |
| 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 |
| Senior Principal Architect Senior Principal Architect role focused on designing and evolving the data integration architecture for industrial digitalization and AI solutions. The role involves leveraging generative AI, architecting foundational services, and ensuring scalability and cost-efficiency, with a specific emphasis on enabling AI agents within data pipelines. | AgentData | 7 |