Senior Field AI Engineer
Location
United States
Posted
40 days ago
Salary
Not specified
Job Description
Role Description
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.
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.
Qualifications
- 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.
Requirements
- Client Engagement & Moving Strategy to Reality: Partner with Account Executives to prioritize strategic opportunities and act as the technical lead for complex engagements.
- 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.
- Technical Representation & Use Case Design: Lead use case workshops and briefings, translating functional and non-functional requirements into deliverable high-level use cases.
- Product Innovation & Field Leadership: Act as the critical bridge between the field and Cognite’s Product organization.
- 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).
- Full-Stack Solution Engineering: Ability to orchestrate and build end-to-end prototypes.
- Technical Evangelism & Strategic Influence: The ability to distill complex technical AI solutions into compelling, value-driven narratives.
Benefits
- Equal Opportunity: Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer.
- All qualified applicants will receive the same level of consideration for employment.
Job 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.
- Client Engagement & Moving Strategy to Reality: Partner with Account Executives to prioritize strategic opportunities and act as the technical lead for complex engagements.
- 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.
- Technical Representation & Use Case Design: Lead use case workshops and briefings, translating functional and non-functional requirements into deliverable high-level use cases.
- Product Innovation & Field Leadership: Act as the critical bridge between the field and Cognite’s Product organization.
- 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).
- Full-Stack Solution Engineering: Ability to orchestrate and build end-to-end prototypes.
- Technical Evangelism & Strategic Influence: The ability to distill complex technical AI solutions into compelling, value-driven narratives.
Benefits
- Equal Opportunity: Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer.
- All qualified applicants will receive the same level of consideration for employment.
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