Senior Field AI Engineer (Forward Deployed)

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. The Senior Field AI Engineer will partner with Account Executives to prioritize strategic opportunities and act as the technical lead for complex engagements, driving the implementation of innovative AI solutions in industrial settings.

Responsibilities:

• Client Engagement & Moving Strategy to Reality: Partner with Account Executives to prioritize strategic opportunities and act as the technical lead for complex engagements. You will move clients from high-level strategy to live, functioning versions of Cognite’s solutions through Fast AI Prototyping via Cognite Atlas AI™ and Cognite Data Fusion®
• Agentic Solution Development: Lead the design and implementation of first-of-their-kind industrial agents. You will leverage the Atlas AI workbench to automate complex industrial workflows, ensuring solutions are technically feasible, scalable, and grounded in the contextualized data foundation of our Industrial Knowledge Graph
• Technical Representation & Use Case Design: Lead use case workshops and briefings, translating functional and non-functional requirements into deliverable high-level use cases. You will build executive confidence by delivering client-focused demos and reference architectures that prove the ROI of Industrial AI
• Product Innovation & Field Leadership: Act as the critical bridge between the field and Cognite’s Product organization. Translate 'field friction' and deployment learnings into actionable product requirements and scalable best practices that strengthen Cognite’s position as the leader in Industrial DataOps
• 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®
• 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™
• 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
• 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

Requirements:

• 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