
AI Solutions Engineer, Atlas AI
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.
What Cognite is Relentless to achieve
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
The Impact you bring to Cognite
- 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.
- 3+ years of relevant 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.
Preferred Experience
- 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.
A snapshot of our many perks and benefits as a Cogniter
Create a Job Alert
Interested in building your career at Cognite - AI for Industry? Get future opportunities sent straight to your email.
Apply for this job
*
indicates a required field
