Forward Deployment Engineer

Procore Technologies•Austin, TX

4d•$140,960 - $193,820•Remote

About The Position

Procore Technologies is seeking a Forward Deployed AI Engineer to implement, optimize, and deploy intelligent AI systems and agentic workflows for enterprise clients. The role is part of the Customer Success Team supporting Procore AI and works closely with customer technical leaders, enterprise project teams, and internal engineering to operationalize AI agents in the field. Success requires strengths in machine learning systems, customer-facing technical delivery, and end-to-end software engineering. The role is remote within the United States and reports to the Forward Deployed Engineering Manager. Travel to customer sites is expected up to 50% or more. The position may be eligible for equity compensation and/or bonus incentive compensation. The stated annual base pay range is $140,960–$193,820; actual compensation depends on job-related skills, experience, education or training, and location.

Requirements

Demonstrated experience building and shipping solutions with large language models (LLMs), with practical understanding of prompting, tool integration, evaluation, and retrieval.
Strong foundation in machine learning fundamentals, including evaluation methods, model training and fine-tuning principles, and complex problem decomposition.
Strong software engineering foundation and a degree in Computer Science, Software Engineering, Mathematics, Physics, or Machine Learning, or equivalent practical experience.
Programming proficiency in Python, TypeScript/JavaScript, Java, C++, or similar modern stacks.
Ability to work effectively in diverse customer technical environments and collaborate within customer engineering teams.
Effective, empathetic communication skills, including the ability to explain complex AI concepts as actionable business value to technical and non-technical stakeholders.
Willingness and ability to travel to client sites up to 50% or more.

Nice To Haves

Background as a Forward Deployed Engineer (FDE) or Applied AI Engineer.
Background as an AI/Machine Learning Solutions Architect.
Background as an Enterprise Generative AI Implementation Consultant.
Background as a Customer-Facing Machine Learning Systems Engineer.

Responsibilities

Deliver high-impact AI implementation projects independently or in small pods, with full technical ownership from discovery through production deployment.
Build and scale LLM-powered agentic workflows and production data pipelines tailored to enterprise construction operations.
Partner with enterprise customers to evaluate operational challenges, understand technical requirements, and define AI implementation strategies.
Implement real-world solutions that reduce risk and increase efficiency, driving measurable financial and operational value for customers.
Travel to client sites to lead onsite technical workshops, customer embeds, and field deployments.