Cognite is a global industrial AI software-as-a-service (SaaS) company supporting the full-scale digital transformation of heavy-asset industries around the world.

Our core product, Cognite Data Fusion (CDF), is a leading industrial DataOps platform.

Building on CDF, ATLAS AI is our innovative offering designed to deliver bold, customer-centric innovation powered by artificial intelligence.

The Role :

As an AI Solutions Engineer, you will bridge the gap between industrial challenges and AI capabilities.

You will lead the rapid prototyping of GenAI-powered solutions, design user-facing interfaces, and orchestrate intelligent agent workflows in real customer contexts.

Youll work closely with customer teams, internal stakeholders, and product/engineering to craft lighthouse solutions that demonstrate whats possible with ATLAS AI.

This role requires hands-on technical depth, creativity in solution design, and the ability to operate fluidly across domains, tools, and stakeholders.

Responsibilities :

- End-to-End Prototyping : Build cross-stack prototypes using ATLAS AI, CDF, and open-source AI frameworks to solve real customer challenges.

- Agent Workflow Design : Design and implement multi-agent workflows that combine LLMs, tool use, and reasoning over industrial data.

- Customer-Facing Execution : Collaborate directly with technical teams at customer sites to refine use cases and integrate solutions in real environments.

- Interactive UI Development : Build lightweight but powerful UIs that showcase value to executives and operators alike.

- System Integration : Orchestrate integration between GenAI components, CDF data models, and existing customer systems using scalable software practices.

- Evangelism & Enablement Translate technical solutions into compelling narratives that inspire stakeholders across both internal and external audiences.

What Were Looking For :

Must-Have Skills :

- 5+ years of experience in software engineering, AI solution architecture, or similar roles.

- Proven hands-on experience with GenAI systems (LLMs, embeddings, prompt chaining, etc.)

- Experience building LLM-driven or agent-based applications (e., LangChain).

- Solid full-stack development skills, including :

1. Frontend : React (or similar frameworks) for building interactive UIs.

2. Backend : Python (or similar) for data orchestration and API integration.

- Ability to work across the stack and own the delivery of functional, user-facing solutions.

- Strong communication and storytelling skills for both technical and executive audiences.

- Proven ability to write clean, maintainable, and scalable code, following engineering best practices for testing, version control, and review.

- A maker mindset with bias toward rapid iteration, showing rather than telling, and learning by doing.

Bonus Skills :

- UI/UX sensibilities for building demo interfaces and apps quickly.

- Understanding of industrial data types (e. , time series, industrial knowledge graphs).

- Experience with Cognite Data Fusion.

- Familiarity with vector databases and RAG pipelines.

- Cloud-native development experience (AWS, Azure, etc.)

- Exposure to industrial use cases or previous work in industrial analytics or engineering domains.