Senior Field Engineer (forward Deployed)

Cognite Cognite · Industrial · United States · Remote · Global Revenue

Senior Field Engineer role focused on client engagement and leading the design and implementation of industrial AI agents using Cognite's platforms. The role involves fast AI prototyping, automating complex industrial workflows, and translating field learnings into product requirements. Requires strong engineering background, Python, and understanding of GenAI landscape (embeddings, RAG, prompt chaining).

What you'd actually do

  1. 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®.
  2. 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.
  3. 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.
  4. 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.

Skills

Required

  • 3+ years in forward deployed engineering/pre-sales engineering roles ideally in enterprise SaaS, cloud platforms, or industrial software companies.
  • Strong engineering background.
  • Python
  • deep understanding of the GenAI landscape (embeddings, RAG, and prompt chaining).
  • Excellent problem-solving, analytical, and communication skills.

Nice to have

  • Education or experience in the industrial space (e.g., Petroleum, Chemical, Mechanical, or Control System Engineering).
  • Previous customer facing or sales experience.
  • 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.
  • excited to bridge the gap between traditional heavy industry and the future of Autonomous Operations via Cognite Data Fusion® and Agentic AI.

What the JD emphasized

  • industrial digitalization
  • AI agents
  • Fast AI Prototyping
  • Cognite Atlas AI
  • Cognite Data Fusion
  • Industrial Knowledge Graph
  • Agentic Solution Development
  • Industrial AI
  • Agentic AI Proficiency
  • Autonomous Operations

Other signals

  • industrial digitalization
  • AI agents
  • low-code AI agents
  • Cognite Atlas AI
  • Cognite Data Fusion
  • Industrial Knowledge Graph
  • GenAI components
  • Autonomous Operations