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Senior Field Engineer (Pre-Sales/Forward Deployed)

Other Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Lead technical engagements that turn industrial customers’ goals into working data and AI solutions. The role combines forward deployed engineering and pre-sales: shaping use cases, building prototypes and industrial agents, demonstrating value, and helping customers connect fragmented operational and enterprise data. It also brings deployment lessons back to product teams to improve future solutions.

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 and context. - Run use case workshops, translate functional and technical needs into solution designs, and present demos and reference architectures. - Integrate generative AI components, data models, and existing customer systems into scalable end to end prototypes. - Share customer and deployment feedback with product teams, turning recurring obstacles into requirements and reusable practices. - Explain technical approaches and expected value to both engineering audiences and senior business leaders.

Requirements - At least 3 years in forward deployed or pre-sales engineering, preferably with enterprise software, cloud platforms, or industrial systems. - Strong engineering foundation and practical Python skills. - Understanding of generative AI approaches such as embeddings, retrieval augmented generation, and prompt chaining. - Ability to solve complex problems, analyze requirements, and communicate technical ideas clearly. - Willingness and ability to travel up to 50% as needed.

Nice to have - Education or experience in industrial disciplines such as petroleum, chemical, mechanical, or control systems engineering. - Customer facing or sales experience, and familiarity with real world industrial data challenges. - Interest in applying AI and data systems to heavy industry and operational workflows.

Benefits and work setup - Benefits include retirement contributions with employer match, health, dental, vision, and disability coverage, paid parental leave, and flexible paid time off.

Skills detected in the listing

PythonMachine Learning
Detected Oct 10, 2026
Last verified Oct 10, 2026

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