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 |
| Senior Director, Portfolio Management Senior Director, Portfolio Management role at Cognite, focusing on leading Project Managers and managing key accounts in industrial digitalization and AI solutions. The role involves P&L ownership, driving profitable growth, and ensuring value realization for customers, while also coaching and developing a team of Project Managers. It requires a blend of commercial discipline, people leadership, and strategic account management within an enterprise software delivery context. | — | 5 |
| 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 |
| Senior Project Manager Project Manager role focused on delivering complex Industrial AI implementation projects for large industrial organizations. The role involves end-to-end project delivery, managing scope, budget, quality, customer outcomes, and commercial performance, while collaborating with technical teams and ensuring customer adoption and value realization. | — | 5 |
| Senior Project Manager Project Manager role focused on delivering complex Industrial AI implementation projects for asset-intensive industries. The role involves end-to-end project delivery, managing scope, budget, and customer outcomes, and collaborating with technical teams to drive operational improvements and business impact. | — | 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 |
| Senior Project Manager Project Manager role focused on industrial digitalization and AI implementation projects, ensuring alignment with customer strategic priorities and delivering measurable business impact. The role involves end-to-end project delivery, stakeholder management, and financial oversight, acting as a liaison between clients and internal teams. | — | 5 |
| Senior Project Manager Project Manager role focused on the implementation of industrial AI solutions, ensuring alignment with customer strategic priorities and delivering measurable business impact. The role involves end-to-end project delivery, stakeholder management, and financial oversight within the industrial digitalization domain. | — | 5 |
| Account Executive (Life Science/Pharma) Sales Account Executive for Life Science/Pharma verticals, focusing on selling Cognite's industrial digitalization and AI solutions to C-level executives. The role involves achieving bookings targets, developing territory strategies, managing complex sales cycles, and demonstrating the ROI of Cognite's offerings. | — | 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 |
| Software Engineer Software Engineer role focused on building high-performance distributed data infrastructure for industrial digitalization and AI solutions, processing terabyte-scale industrial datasets and supporting AI agents. | Data | 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 |
| Partner Marketing Manager The Partner Marketing Manager at Cognite will execute go-to-market efforts and accelerate revenue growth through strategic alliances and partnerships. This role involves developing and deploying marketing programs for partners (system integrators, technology partners, OEMs) to effectively position, sell, and implement Cognite's industrial AI and SaaS solutions. Responsibilities include creating partner-facing assets, managing co-marketing campaigns, driving demand generation, and tracking marketing performance and ROI. | — | 5 |
| Senior Project Manager Project Manager role focused on delivering industrial AI implementation projects from contract signing to successful deployment and value realization. The role emphasizes end-to-end project ownership, translating use case objectives into KPIs, managing complex integrations, and ensuring alignment with customer strategic goals. It involves close collaboration with internal teams (Engineering, Product, Customer Success) and external stakeholders, managing project financials, and driving change management. The impact is measured by value generation, scope and delivery excellence, stakeholder management, and scalability. | — | 5 |
| Sr. Data Engineer - FP&A This role is for a Senior Data Engineer focused on building an Enterprise Data Warehouse (EDW) for business data, including the semantic layer and selecting/implementing an EDW AI solution. The role involves data pipeline development, data preparation for reporting and AI agents, and collaborating with various business stakeholders. | — | 5 |
| VP, Talent & Organizational Development This role leads talent and organizational development for an industrial digitalization company that builds AI solutions. The VP will architect how the company builds human capability at scale in an era of AI augmentation, transforming functions like Talent, Leadership Development, Learning, Succession, and Organizational Effectiveness through AI-powered insights and tools. Key responsibilities include defining global talent strategy, deploying AI-driven talent intelligence, designing AI-augmented leadership programs, building AI-enabled learning ecosystems, and championing human-AI inclusion. The role requires a strategic People leader with technical literacy and organizational design expertise, focusing on leveraging AI for workforce transformation and strategic decision-making. | — | 5 |
| Full Stack Engineer Full Stack Engineer role at Cognite, focusing on building and leading the development of industrial data platforms and applications. The role involves architecting, implementing, and maintaining both frontend and backend systems, driving strategic product roadmaps, and ensuring scalability and reliability of large-scale cloud deployments. While the company builds AI solutions, this specific role is focused on the full-stack engineering of the platform and applications that leverage these AI capabilities, rather than direct AI/ML model development. | — | 5 |
| Power and Utilities Solutions Subject Matter Expert (SME) This role is for a Power & Renewables Solutions Subject Matter Expert (SME) at Cognite, a company focused on industrial digitalization and AI solutions. The SME will lead strategic solution design, act as a trusted advisor to senior customer stakeholders, and partner with sales and product teams to transform how global energy companies use data to optimize operations and accelerate the shift to sustainability. The role involves architecting high-impact solutions, leading PoCs, influencing product roadmaps, and building strategic ecosystems within the energy sector. The ideal candidate has extensive experience in technical leadership within pre-sales or solution architecture in the power & renewables sector, with a strong understanding of industrial data solutions, DataOps, AI/ML, and data analytics. | Ship | 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 |
| Data Engineer Data Engineer role focused on building and implementing scalable data engineering solutions for industrial digitalization using Cognite Data Fusion. Responsibilities include data integration, modeling, analysis, and collaboration with data scientists and project managers to deploy digital solutions. Requires experience with data pipelines, cloud services, and DevOps practices. | — | 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 |