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 |
|---|---|---|
| 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 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 |
| 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 |
| 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 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 |
| 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 |
| Senior Data Engineer - UAE Cognite is seeking a Senior Data Engineer to join their industrial digitalization team. The role involves designing and implementing data engineering solutions, managing data pipelines, and collaborating with data scientists and architects to deploy digital solutions for clients in industries like Power & Utilities, Energy, and Manufacturing. The position requires experience with data connectors, SQL, Python/Java, Rest APIs, distributed computing (Kubernetes, GCP/Azure), and DevOps practices. | — | 5 |
| 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 |
| Senior Data Engineer - Integration Lead, Supply Chain Senior Data Engineer responsible for designing and building data pipelines to power industrial GenAI solutions in the supply chain domain. This involves integrating data from various sources (SAP, external platforms), optimizing it for a knowledge graph, and ensuring it's ready for consumption by AI agents. | DataAgent | 5 |
| Enterprise Architect Enterprise Architect role focused on customer-facing solutions for industrial digitalization using AI and data, involving architecture design, integration, data pipelines, and hands-on Python/Java development. The role bridges customer needs with product offerings and ensures successful solution delivery. | Ship | 5 |
| Enterprise Architect Enterprise Architect role focused on designing and delivering AI and data solutions for industrial customers, leveraging Cognite's platform and AI capabilities to drive operational improvements. Requires strong technical expertise in architecture, integration, data modeling, and hands-on Python/Java proficiency. | — | 5 |
| Principal Field Engineer This role is for a Principal Field Engineer at Cognite, a company focused on industrial digitalization and AI solutions. The engineer will act as a technical liaison to clients, developing and demonstrating solutions, educating clients on Cognite's offerings, and bridging the gap between client needs and the product organization. The role requires expertise in industrial data, OT/IT convergence, cloud platforms, and client-facing skills, with a focus on driving operational improvements and customer value through AI and data solutions. | Ship | 5 |
| Senior Solution Architect Senior Solution Architect role focused on designing and implementing AI and data solutions for industrial clients, leveraging Cognite's platform. The role is customer-facing, involving architecture leadership, technical expertise, and collaboration with sales, delivery, and product teams to drive adoption and operational improvements. Requires strong software engineering/data engineering/ML engineering background and hands-on coding ability. | Ship | 5 |
| Enterprise Architect Enterprise Architect role focused on industrial digitalization and AI solutions, working with customers to define and implement solutions on top of Cognite Data Fusion. The role involves architecture design, technical expertise, and customer-facing collaboration to drive operational improvements using AI and data. | — | 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 |
| Senior Data Engineer Senior Data Engineer role focused on building and implementing scalable data engineering solutions for industrial digitalization using Cognite Data Fusion. The role involves data integrations, modeling, analysis, and collaboration with data scientists and architects to deploy digital solutions in industries like Power & Utilities, Energy, and Manufacturing. | — | 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 at Cognite, a company focused on industrial digitalization and AI solutions. The primary responsibility is to lead and elevate the Solution Architecture capability across Europe, ensuring consistent, scalable, and performance-ready architecture for customer projects. The role involves driving professional development, methods, and technical excellence within the Solution Architect community, with a maximum of 20% customer-facing or billable involvement. The goal is to ensure 'Cognite-Grade architecture quality' becomes a competitive advantage. | — | 5 |
| Director, Solution Architecture & Enterprise Architecture This role is for a Director of Solution Architecture & Enterprise Architecture at Cognite, a company focused on industrial digitalization and AI solutions. The primary responsibility is to lead and elevate the Solution Architecture capability across Europe, ensuring consistent, scalable, and performance-ready architecture for customer projects. The role involves driving professional development, methods, and technical excellence within the Solution Architect community, with a maximum of 20% customer-facing or billable involvement. The goal is to ensure 'Cognite-Grade architecture quality' becomes a competitive advantage. | — | 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 |
| Senior Solution Architect This role focuses on designing and implementing end-to-end solutions for industrial digitalization using AI and data, merging Cognite's products with customer portfolios. It involves technical expertise, client interaction, and collaboration with data scientists and product teams to drive operational improvements and accelerate digital transformation. | Ship | 5 |
| Senior Solution Architect Senior Solution Architect role focused on designing and implementing AI and data solutions for industrial clients, leveraging Cognite's platform. The role involves customer engagement, solution architecture, integration, and collaboration with sales and product teams, with a hands-on coding expectation. | Ship | 5 |
| Senior Field Engineer Senior Field Engineer for an industrial digitalization company that builds AI and data solutions. The role involves acting as a technical liaison to clients, developing solutions, educating clients, representing the company, and bridging client feedback to the product organization. It requires expertise in industrial data, OT/IT convergence, data integration, and client-facing skills, with experience in Python and cloud platforms. | — | 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 |
| Senior IT Infrastructure Engineer (Cloud Infrastructure Eng) This role is for a Senior IT Infrastructure Engineer focused on cloud infrastructure (GCP, Azure) and automation. The engineer will configure and optimize platforms, build IaC using GitHub, develop automation workflows leveraging AI tooling, manage integrations via REST APIs, and support IAM and data control standards. The role operates within an AI-first environment but does not directly build or ship AI models. | — | 0 |