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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Solution Architect Senior Solution Architect role focused on designing and implementing AI and data solutions for industrial clients, involving architecture, integration, and customer collaboration. The role requires hands-on coding experience and a strong understanding of software development best practices. | Ship | 5 |
| Senior Solution Architect Senior Solution Architect role focused on industrial digitalization and AI solutions, working with customers to define and integrate solutions using Cognite's platform. Requires strong technical expertise in architecture, integration, data, and software development, with a focus on customer success and driving adoption. | Ship | 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 at Cognite, a company focused on industrial digitalization and AI solutions. The engineer will act as a technical liaison to key clients, helping them scale their use of Cognite Data Fusion®, architecting new use cases, and supporting deployment. They will also collaborate with internal teams to translate client feedback into product requirements and enable the partner ecosystem. The role requires extensive experience in solution architecture, field engineering, or technical presales/postsales, with hands-on Python skills and expertise in industrial data and cloud platforms. | Ship | 5 |
| Fullstack Software Engineer Full Stack Software Engineer responsible for leading the implementation of scalable, customer-facing AI-driven solutions in the industrial digitalization space. This role bridges the gap between data engineering, data science, and end-users, focusing on building high-performance, secure applications and APIs using Python and React/TS. The role emphasizes technical ownership, customer-centric development, and engineering excellence, with a requirement for experience in AI/ML products or integrating Generative AI. | — | 5 |
| Vice President, Value Delivery - Europe (Professional Services) The Vice President, Value Delivery - Europe will lead the professional services organization across Europe, responsible for P&L, customer outcomes, and organizational scalability in an industrial digitalization and AI SaaS environment. This role focuses on driving measurable customer value from Cognite's AI capabilities and data solutions, managing financial performance, staffing, delivery excellence, and team leadership to support global market leadership. | — | 5 |
| Senior Solution Architect Senior Solution Architect role focused on designing and implementing AI and data solutions for industrial clients, involving architecture, integration, and customer collaboration. The role requires hands-on coding experience and a strong understanding of software development best practices. | Ship | 5 |
| Senior Solution Architect Senior Solution Architect role focused on designing and implementing AI and data solutions for industrial clients, involving architecture, integration, and customer collaboration. The role requires hands-on coding experience and a strong understanding of software development best practices. | Ship | 5 |
| Solution Architect Solution Architect role focused on industrial digitalization and AI solutions, working with customers to define and integrate solutions that drive operational improvements and customer value. Requires strong technical expertise in architecture, integration, and data, with hands-on coding ability. | Ship | 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 |