AI Solution Engineer

About Cognite & ATLAS AI

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

AI Solutions Engineer

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 We’re 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.g., LangChain).
• Solid full-stack development skills, including:
• Frontend: React (or similar frameworks) for building interactive UIs.
• 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.g., 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.