Senior Field Engineer - AI-Driven Pre-Sales & Prototyping

cognite; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Retirement match

Health insurance

Dental

Vision

Disability insurance

Paid parental leave

Flexible PTO

Job summary

Cognite in the United States is seeking a Forward Deployed/Pre-Sales Engineer to lead technical engagements, design prototypes and agent-based workflows using industrial data. You will partner with account teams, demonstrate value through demos and reference architectures, and help customers connect operational data with enterprise systems.

The role blends engineering rigor with pre-sales strategy, requiring strong Python skills, AI know-how, and the ability to travel up to 50%.

Qualifications

• Experience in forward deployed or pre-sales engineering in enterprise software/cloud/industrial systems.
• Strong Python programming and software engineering fundamentals.
• Familiarity with AI approaches: embeddings, retrieval augmented generation, prompt chaining.

Responsibilities

• Partner with account teams to prioritize opportunities and guide customers from strategy through implementation.
• Design and build prototypes and agent-based workflows grounded in industrial data.
• Run use-case workshops, translate needs into solution designs and present demos and reference architectures.
• Integrate generative AI components and data models into end-to-end prototypes.
• Share deployment feedback with product teams to drive reusable practices and improvements.
• Explain technical approaches and value to engineering teams and senior leaders.

Skills

Forward Deployed Eng

Pre-sales Eng

Python

Generative AI

Communication

Willing to travel

Education

Bachelor's degree

Job description

Cognite in the United States is seeking a Forward Deployed/Pre-Sales Engineer to lead technical engagements, design prototypes and agent-based workflows using industrial data. You will partner with account teams, demonstrate value through demos and reference architectures, and help customers connect operational data with enterprise systems.

The role blends engineering rigor with pre-sales strategy, requiring strong Python skills, AI know-how, and the ability to travel up to 50%.