Cognite - AI for Industry - Senior Field AI Engineer (Forward Deployed)
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Requirements
• Industrial Architecture Expertise: Ability to design scalable architectures that unify siloed IT/OT/ET data into a single source of truth using Cognite Data Fusion®. • Industrial Architecture Expertise: • Cognite Data Fusion® • Agentic AI Proficiency: Demonstrated experience building with LLMs (Gemini, Claude, GPT-4) and a deep understanding of the Agentic AI landscape to create trusted, mission-critical industrial agents via Cognite Atlas AI™. • Agentic AI Proficiency: • Cognite Atlas AI™ • Full-Stack Solution Engineering: Ability to orchestrate and build end-to-end prototypes—integrating GenAI components, CDF data models, and legacy customer systems—using scalable software practices and open-source AI frameworks. • Full-Stack Solution Engineering: • Technical Evangelism & Strategic Influence: The ability to distill complex technical AI solutions into compelling, value-driven narratives. You can pivot seamlessly between deep architectural sessions with engineers and strategy briefings with C-level executives. • Technical Evangelism & Strategic Influence: • 3+ years in forward deployed engineering/pre-sales engineering, or technical software development, ideally in enterprise SaaS, cloud platforms, or industrial software companies. • Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning. • A strong foundation in Python and a deep understanding of the GenAI landscape (embeddings, RAG, and prompt chaining). • Excellent problem-solving, analytical, and communication skills. • Ability and interest to travel up to 50% as needed to be "on the ground" where the impact happens. • Education or experience in the industrial space (e.g., Petroleum, Chemical, Mechanical, or Control System Engineering). • Previous customer facing or sales experience. • You’ve worked with "messy" real-world variables from the Industries we work in (Energy, Oil and Gas, Chemicals, Life Sciences, Discrete) and understand, for example, why data quality in a refinery is harder than data quality in a web app. • You are excited to bridge the gap between traditional heavy industry and the future of Autonomous Operations via Cognite Data Fusion® and Agentic AI. • Equal Opportunity • Equal Opportunity
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